{"id":1401,"date":"2024-11-13T15:22:09","date_gmt":"2024-11-13T15:22:09","guid":{"rendered":"https:\/\/crp.trb.org\/acrpwebresource18\/maturity-model\/"},"modified":"2025-03-04T20:55:15","modified_gmt":"2025-03-04T20:55:15","slug":"maturity-model","status":"publish","type":"page","link":"https:\/\/crp.trb.org\/acrpwebresource18\/maturity-model\/","title":{"rendered":"Maturity Model"},"content":{"rendered":"<div data-elementor-type=\"wp-page\" data-elementor-id=\"1401\" class=\"elementor elementor-1401\" data-elementor-post-type=\"page\">\n\t\t\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-702ce302 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"702ce302\" data-element_type=\"section\" data-e-type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-4667c10d\" data-id=\"4667c10d\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-5ac8433c elementor-widget elementor-widget-heading\" data-id=\"5ac8433c\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h1 class=\"elementor-heading-title elementor-size-xl\">Maturity Model and Evaluation Matrix<\/h1>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-724bb11 elementor-widget elementor-widget-text-editor\" data-id=\"724bb11\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p>Framing the <a class=\"glossaryLink\"  aria-describedby=\"tt\"  data-cmtooltip=\"&lt;div class=glossaryItemTitle&gt;Analytics&lt;\/div&gt;&lt;div class=glossaryItemBody&gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW232749137 BCX0&amp;quot;&amp;gt;Statistical and mathematical analysis of data to cluster, segment, score, and predict what scenarios are most likely to happen (&amp;lt;\/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW232749137 BCX0&amp;quot;&amp;gt;e.g., &amp;lt;\/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW232749137 BCX0&amp;quot;&amp;gt;data\/text mining, visualization, cluster analysis, forecasting).&amp;lt;\/span&amp;gt;&lt;\/div&gt;\"  href=\"https:\/\/crp.trb.org\/acrpwebresource18\/glossary\/analytics\/\"  data-gt-translate-attributes='[{\"attribute\":\"data-cmtooltip\", \"format\":\"html\"}]' tabindex='0' role='link'>analytics<\/a> maturity of an organization as a series of stages can provide guidance to airports at different levels about the next steps in adopting data <a class=\"glossaryLink\"  aria-describedby=\"tt\"  data-cmtooltip=\"&lt;div class=glossaryItemTitle&gt;Analytics&lt;\/div&gt;&lt;div class=glossaryItemBody&gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW232749137 BCX0&amp;quot;&amp;gt;Statistical and mathematical analysis of data to cluster, segment, score, and predict what scenarios are most likely to happen (&amp;lt;\/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW232749137 BCX0&amp;quot;&amp;gt;e.g., &amp;lt;\/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW232749137 BCX0&amp;quot;&amp;gt;data\/text mining, visualization, cluster analysis, forecasting).&amp;lt;\/span&amp;gt;&lt;\/div&gt;\"  href=\"https:\/\/crp.trb.org\/acrpwebresource18\/glossary\/analytics\/\"  data-gt-translate-attributes='[{\"attribute\":\"data-cmtooltip\", \"format\":\"html\"}]' tabindex='0' role='link'>analytics<\/a> for their specific needs (Davenport 2018). As traditional businesses, airports can be slow to change and therefore may seek to expand their <a class=\"glossaryLink\"  aria-describedby=\"tt\"  data-cmtooltip=\"&lt;div class=glossaryItemTitle&gt;Analytics&lt;\/div&gt;&lt;div class=glossaryItemBody&gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW232749137 BCX0&amp;quot;&amp;gt;Statistical and mathematical analysis of data to cluster, segment, score, and predict what scenarios are most likely to happen (&amp;lt;\/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW232749137 BCX0&amp;quot;&amp;gt;e.g., &amp;lt;\/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW232749137 BCX0&amp;quot;&amp;gt;data\/text mining, visualization, cluster analysis, forecasting).&amp;lt;\/span&amp;gt;&lt;\/div&gt;\"  href=\"https:\/\/crp.trb.org\/acrpwebresource18\/glossary\/analytics\/\"  data-gt-translate-attributes='[{\"attribute\":\"data-cmtooltip\", \"format\":\"html\"}]' tabindex='0' role='link'>analytics<\/a> capabilities incrementally over time. This process can take different pathways. The different stages of <a class=\"glossaryLink\"  aria-describedby=\"tt\"  data-cmtooltip=\"&lt;div class=glossaryItemTitle&gt;Analytics&lt;\/div&gt;&lt;div class=glossaryItemBody&gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW232749137 BCX0&amp;quot;&amp;gt;Statistical and mathematical analysis of data to cluster, segment, score, and predict what scenarios are most likely to happen (&amp;lt;\/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW232749137 BCX0&amp;quot;&amp;gt;e.g., &amp;lt;\/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW232749137 BCX0&amp;quot;&amp;gt;data\/text mining, visualization, cluster analysis, forecasting).&amp;lt;\/span&amp;gt;&lt;\/div&gt;\"  href=\"https:\/\/crp.trb.org\/acrpwebresource18\/glossary\/analytics\/\"  data-gt-translate-attributes='[{\"attribute\":\"data-cmtooltip\", \"format\":\"html\"}]' tabindex='0' role='link'>analytics<\/a> maturity can be viewed by selecting each tab in Figure 1 below.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-5d31c8cf elementor-widget elementor-widget-spacer\" data-id=\"5d31c8cf\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"spacer.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<div class=\"elementor-spacer\">\n\t\t\t<div class=\"elementor-spacer-inner\"><\/div>\n\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-92dddec elementor-widget elementor-widget-heading\" data-id=\"92dddec\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h3 class=\"elementor-heading-title elementor-size-small\">Figure 1. Stages of Analytics Maturity<\/h3>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-70706d9e elementor-tabs-view-horizontal elementor-widget elementor-widget-tabs\" data-id=\"70706d9e\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"tabs.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<div class=\"elementor-tabs\">\n\t\t\t<div class=\"elementor-tabs-wrapper\" role=\"tablist\">\n\t\t\t\t\t\t\t\t\t<div id=\"elementor-tab-title-1881\" class=\"elementor-tab-title elementor-tab-desktop-title\" aria-selected=\"true\" data-tab=\"1\" role=\"tab\" tabindex=\"0\" aria-controls=\"elementor-tab-content-1881\" aria-expanded=\"false\">Stage 1: <a class=\"glossaryLink\"  aria-describedby=\"tt\"  data-cmtooltip=\"&lt;div class=glossaryItemTitle&gt;Analytics&lt;\/div&gt;&lt;div class=glossaryItemBody&gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW232749137 BCX0&amp;quot;&amp;gt;Statistical and mathematical analysis of data to cluster, segment, score, and predict what scenarios are most likely to happen (&amp;lt;\/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW232749137 BCX0&amp;quot;&amp;gt;e.g., &amp;lt;\/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW232749137 BCX0&amp;quot;&amp;gt;data\/text mining, visualization, cluster analysis, forecasting).&amp;lt;\/span&amp;gt;&lt;\/div&gt;\"  href=\"https:\/\/crp.trb.org\/acrpwebresource18\/glossary\/analytics\/\"  data-gt-translate-attributes='[{\"attribute\":\"data-cmtooltip\", \"format\":\"html\"}]' tabindex='0' role='link'>Analytics<\/a> Formation<\/div>\n\t\t\t\t\t\t\t\t\t<div id=\"elementor-tab-title-1882\" class=\"elementor-tab-title elementor-tab-desktop-title\" aria-selected=\"false\" data-tab=\"2\" role=\"tab\" tabindex=\"-1\" aria-controls=\"elementor-tab-content-1882\" aria-expanded=\"false\">Stage 2: Localized <a class=\"glossaryLink\"  aria-describedby=\"tt\"  data-cmtooltip=\"&lt;div class=glossaryItemTitle&gt;Analytics&lt;\/div&gt;&lt;div class=glossaryItemBody&gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW232749137 BCX0&amp;quot;&amp;gt;Statistical and mathematical analysis of data to cluster, segment, score, and predict what scenarios are most likely to happen (&amp;lt;\/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW232749137 BCX0&amp;quot;&amp;gt;e.g., &amp;lt;\/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW232749137 BCX0&amp;quot;&amp;gt;data\/text mining, visualization, cluster analysis, forecasting).&amp;lt;\/span&amp;gt;&lt;\/div&gt;\"  href=\"https:\/\/crp.trb.org\/acrpwebresource18\/glossary\/analytics\/\"  data-gt-translate-attributes='[{\"attribute\":\"data-cmtooltip\", \"format\":\"html\"}]' tabindex='0' role='link'>Analytics<\/a><\/div>\n\t\t\t\t\t\t\t\t\t<div id=\"elementor-tab-title-1883\" class=\"elementor-tab-title elementor-tab-desktop-title\" aria-selected=\"false\" data-tab=\"3\" role=\"tab\" tabindex=\"-1\" aria-controls=\"elementor-tab-content-1883\" aria-expanded=\"false\">Stage 3: Analytical Aspirations<\/div>\n\t\t\t\t\t\t\t\t\t<div id=\"elementor-tab-title-1884\" class=\"elementor-tab-title elementor-tab-desktop-title\" aria-selected=\"false\" data-tab=\"4\" role=\"tab\" tabindex=\"-1\" aria-controls=\"elementor-tab-content-1884\" aria-expanded=\"false\">Stage 4: Analytical Organizations<\/div>\n\t\t\t\t\t\t\t\t\t<div id=\"elementor-tab-title-1885\" class=\"elementor-tab-title elementor-tab-desktop-title\" aria-selected=\"false\" data-tab=\"5\" role=\"tab\" tabindex=\"-1\" aria-controls=\"elementor-tab-content-1885\" aria-expanded=\"false\">Stage 5: Analytical Competitors<\/div>\n\t\t\t\t\t\t\t<\/div>\n\t\t\t<div class=\"elementor-tabs-content-wrapper\" role=\"tablist\" aria-orientation=\"vertical\">\n\t\t\t\t\t\t\t\t\t<div class=\"elementor-tab-title elementor-tab-mobile-title\" aria-selected=\"true\" data-tab=\"1\" role=\"tab\" tabindex=\"0\" aria-controls=\"elementor-tab-content-1881\" aria-expanded=\"false\">Stage 1: <a class=\"glossaryLink\"  aria-describedby=\"tt\"  data-cmtooltip=\"&lt;div class=glossaryItemTitle&gt;Analytics&lt;\/div&gt;&lt;div class=glossaryItemBody&gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW232749137 BCX0&amp;quot;&amp;gt;Statistical and mathematical analysis of data to cluster, segment, score, and predict what scenarios are most likely to happen (&amp;lt;\/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW232749137 BCX0&amp;quot;&amp;gt;e.g., &amp;lt;\/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW232749137 BCX0&amp;quot;&amp;gt;data\/text mining, visualization, cluster analysis, forecasting).&amp;lt;\/span&amp;gt;&lt;\/div&gt;\"  href=\"https:\/\/crp.trb.org\/acrpwebresource18\/glossary\/analytics\/\"  data-gt-translate-attributes='[{\"attribute\":\"data-cmtooltip\", \"format\":\"html\"}]' tabindex='0' role='link'>Analytics<\/a> Formation<\/div>\n\t\t\t\t\t<div id=\"elementor-tab-content-1881\" class=\"elementor-tab-content elementor-clearfix\" data-tab=\"1\" role=\"tabpanel\" aria-labelledby=\"elementor-tab-title-1881\" tabindex=\"0\" hidden=\"false\"><p><strong><a class=\"glossaryLink\"  aria-describedby=\"tt\"  data-cmtooltip=\"&lt;div class=glossaryItemTitle&gt;Analytics&lt;\/div&gt;&lt;div class=glossaryItemBody&gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW232749137 BCX0&amp;quot;&amp;gt;Statistical and mathematical analysis of data to cluster, segment, score, and predict what scenarios are most likely to happen (&amp;lt;\/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW232749137 BCX0&amp;quot;&amp;gt;e.g., &amp;lt;\/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW232749137 BCX0&amp;quot;&amp;gt;data\/text mining, visualization, cluster analysis, forecasting).&amp;lt;\/span&amp;gt;&lt;\/div&gt;\"  href=\"https:\/\/crp.trb.org\/acrpwebresource18\/glossary\/analytics\/\"  data-gt-translate-attributes='[{\"attribute\":\"data-cmtooltip\", \"format\":\"html\"}]' tabindex='0' role='link'>Analytics<\/a> Formation:<\/strong>&nbsp;At this stage, the airport has no enterprise perspective on data or <a class=\"glossaryLink\"  aria-describedby=\"tt\"  data-cmtooltip=\"&lt;div class=glossaryItemTitle&gt;Analytics&lt;\/div&gt;&lt;div class=glossaryItemBody&gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW232749137 BCX0&amp;quot;&amp;gt;Statistical and mathematical analysis of data to cluster, segment, score, and predict what scenarios are most likely to happen (&amp;lt;\/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW232749137 BCX0&amp;quot;&amp;gt;e.g., &amp;lt;\/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW232749137 BCX0&amp;quot;&amp;gt;data\/text mining, visualization, cluster analysis, forecasting).&amp;lt;\/span&amp;gt;&lt;\/div&gt;\"  href=\"https:\/\/crp.trb.org\/acrpwebresource18\/glossary\/analytics\/\"  data-gt-translate-attributes='[{\"attribute\":\"data-cmtooltip\", \"format\":\"html\"}]' tabindex='0' role='link'>analytics<\/a>. Senior leadership has little awareness of or interest in <a class=\"glossaryLink\"  aria-describedby=\"tt\"  data-cmtooltip=\"&lt;div class=glossaryItemTitle&gt;Analytics&lt;\/div&gt;&lt;div class=glossaryItemBody&gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW232749137 BCX0&amp;quot;&amp;gt;Statistical and mathematical analysis of data to cluster, segment, score, and predict what scenarios are most likely to happen (&amp;lt;\/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW232749137 BCX0&amp;quot;&amp;gt;e.g., &amp;lt;\/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW232749137 BCX0&amp;quot;&amp;gt;data\/text mining, visualization, cluster analysis, forecasting).&amp;lt;\/span&amp;gt;&lt;\/div&gt;\"  href=\"https:\/\/crp.trb.org\/acrpwebresource18\/glossary\/analytics\/\"  data-gt-translate-attributes='[{\"attribute\":\"data-cmtooltip\", \"format\":\"html\"}]' tabindex='0' role='link'>analytics<\/a>, and there is no targeting of <a class=\"glossaryLink\"  aria-describedby=\"tt\"  data-cmtooltip=\"&lt;div class=glossaryItemTitle&gt;Analytics&lt;\/div&gt;&lt;div class=glossaryItemBody&gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW232749137 BCX0&amp;quot;&amp;gt;Statistical and mathematical analysis of data to cluster, segment, score, and predict what scenarios are most likely to happen (&amp;lt;\/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW232749137 BCX0&amp;quot;&amp;gt;e.g., &amp;lt;\/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW232749137 BCX0&amp;quot;&amp;gt;data\/text mining, visualization, cluster analysis, forecasting).&amp;lt;\/span&amp;gt;&lt;\/div&gt;\"  href=\"https:\/\/crp.trb.org\/acrpwebresource18\/glossary\/analytics\/\"  data-gt-translate-attributes='[{\"attribute\":\"data-cmtooltip\", \"format\":\"html\"}]' tabindex='0' role='link'>analytics<\/a> opportunities. The data resources are inconsistent and of relatively low quality. Analytical skills are low and attached to specific functions. Simple visual <a class=\"glossaryLink\"  aria-describedby=\"tt\"  data-cmtooltip=\"&lt;div class=glossaryItemTitle&gt;Analytics&lt;\/div&gt;&lt;div class=glossaryItemBody&gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW232749137 BCX0&amp;quot;&amp;gt;Statistical and mathematical analysis of data to cluster, segment, score, and predict what scenarios are most likely to happen (&amp;lt;\/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW232749137 BCX0&amp;quot;&amp;gt;e.g., &amp;lt;\/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW232749137 BCX0&amp;quot;&amp;gt;data\/text mining, visualization, cluster analysis, forecasting).&amp;lt;\/span&amp;gt;&lt;\/div&gt;\"  href=\"https:\/\/crp.trb.org\/acrpwebresource18\/glossary\/analytics\/\"  data-gt-translate-attributes='[{\"attribute\":\"data-cmtooltip\", \"format\":\"html\"}]' tabindex='0' role='link'>analytics<\/a> are produced using standard desktop office applications (Excel). Basic reporting tools provide descriptive measures of central tendency and variability to identify data trends.<\/p><\/div>\n\t\t\t\t\t\t\t\t\t<div class=\"elementor-tab-title elementor-tab-mobile-title\" aria-selected=\"false\" data-tab=\"2\" role=\"tab\" tabindex=\"-1\" aria-controls=\"elementor-tab-content-1882\" aria-expanded=\"false\">Stage 2: Localized <a class=\"glossaryLink\"  aria-describedby=\"tt\"  data-cmtooltip=\"&lt;div class=glossaryItemTitle&gt;Analytics&lt;\/div&gt;&lt;div class=glossaryItemBody&gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW232749137 BCX0&amp;quot;&amp;gt;Statistical and mathematical analysis of data to cluster, segment, score, and predict what scenarios are most likely to happen (&amp;lt;\/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW232749137 BCX0&amp;quot;&amp;gt;e.g., &amp;lt;\/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW232749137 BCX0&amp;quot;&amp;gt;data\/text mining, visualization, cluster analysis, forecasting).&amp;lt;\/span&amp;gt;&lt;\/div&gt;\"  href=\"https:\/\/crp.trb.org\/acrpwebresource18\/glossary\/analytics\/\"  data-gt-translate-attributes='[{\"attribute\":\"data-cmtooltip\", \"format\":\"html\"}]' tabindex='0' role='link'>Analytics<\/a><\/div>\n\t\t\t\t\t<div id=\"elementor-tab-content-1882\" class=\"elementor-tab-content elementor-clearfix\" data-tab=\"2\" role=\"tabpanel\" aria-labelledby=\"elementor-tab-title-1882\" tabindex=\"0\" hidden=\"hidden\"><p><strong>Localized <a class=\"glossaryLink\"  aria-describedby=\"tt\"  data-cmtooltip=\"&lt;div class=glossaryItemTitle&gt;Analytics&lt;\/div&gt;&lt;div class=glossaryItemBody&gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW232749137 BCX0&amp;quot;&amp;gt;Statistical and mathematical analysis of data to cluster, segment, score, and predict what scenarios are most likely to happen (&amp;lt;\/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW232749137 BCX0&amp;quot;&amp;gt;e.g., &amp;lt;\/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW232749137 BCX0&amp;quot;&amp;gt;data\/text mining, visualization, cluster analysis, forecasting).&amp;lt;\/span&amp;gt;&lt;\/div&gt;\"  href=\"https:\/\/crp.trb.org\/acrpwebresource18\/glossary\/analytics\/\"  data-gt-translate-attributes='[{\"attribute\":\"data-cmtooltip\", \"format\":\"html\"}]' tabindex='0' role='link'>Analytics<\/a>:<\/strong> As an organization, the airport has islands of data, technology, and expertise, but much usable data is stored in functional silos. Senior leadership does not discuss data management, and individual <a class=\"glossaryLink\"  aria-describedby=\"tt\"  data-cmtooltip=\"&lt;div class=glossaryItemTitle&gt;Analytics&lt;\/div&gt;&lt;div class=glossaryItemBody&gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW232749137 BCX0&amp;quot;&amp;gt;Statistical and mathematical analysis of data to cluster, segment, score, and predict what scenarios are most likely to happen (&amp;lt;\/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW232749137 BCX0&amp;quot;&amp;gt;e.g., &amp;lt;\/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW232749137 BCX0&amp;quot;&amp;gt;data\/text mining, visualization, cluster analysis, forecasting).&amp;lt;\/span&amp;gt;&lt;\/div&gt;\"  href=\"https:\/\/crp.trb.org\/acrpwebresource18\/glossary\/analytics\/\"  data-gt-translate-attributes='[{\"attribute\":\"data-cmtooltip\", \"format\":\"html\"}]' tabindex='0' role='link'>analytics<\/a> projects are directed at business areas that are typically low in strategic importance. Local <a class=\"glossaryLink\"  aria-describedby=\"tt\"  data-cmtooltip=\"&lt;div class=glossaryItemTitle&gt;Analytics&lt;\/div&gt;&lt;div class=glossaryItemBody&gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW232749137 BCX0&amp;quot;&amp;gt;Statistical and mathematical analysis of data to cluster, segment, score, and predict what scenarios are most likely to happen (&amp;lt;\/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW232749137 BCX0&amp;quot;&amp;gt;e.g., &amp;lt;\/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW232749137 BCX0&amp;quot;&amp;gt;data\/text mining, visualization, cluster analysis, forecasting).&amp;lt;\/span&amp;gt;&lt;\/div&gt;\"  href=\"https:\/\/crp.trb.org\/acrpwebresource18\/glossary\/analytics\/\"  data-gt-translate-attributes='[{\"attribute\":\"data-cmtooltip\", \"format\":\"html\"}]' tabindex='0' role='link'>analytics<\/a> leaders emerge, but with little connection to analysts with a mixture of skills in statistical modeling, <a class=\"glossaryLink\"  aria-describedby=\"tt\"  data-cmtooltip=\"&lt;div class=glossaryItemTitle&gt;Predictive Analytics&lt;\/div&gt;&lt;div class=glossaryItemBody&gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW180822467 BCX0&amp;quot;&amp;gt;Advanced analytics procedures or techniques for analyzing content or data to predict characteristics of target variables based on relevant features or attributes of the data (e.g., predictive modeling, regression analysis, multivariate statistics, forecasting, and classification)&amp;lt;\/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW180822467 BCX0&amp;quot;&amp;gt;.&nbsp;&amp;lt;\/span&amp;gt;&lt;\/div&gt;\"  href=\"https:\/\/crp.trb.org\/acrpwebresource18\/glossary\/predictive-analytics\/\"  data-gt-translate-attributes='[{\"attribute\":\"data-cmtooltip\", \"format\":\"html\"}]' tabindex='0' role='link'>predictive analytics<\/a>, programming languages, <a class=\"glossaryLink\"  aria-describedby=\"tt\"  data-cmtooltip=\"&lt;div class=glossaryItemTitle&gt;Data Science&lt;\/div&gt;&lt;div class=glossaryItemBody&gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW205483891 BCX0&amp;quot;&amp;gt;A rapidly evolving field that uses a combination of methods and principles from statistics and computer science to work with and draw insights from data (e.g., statistics and machine learning&amp;lt;\/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW205483891 BCX0&amp;quot;&amp;gt;,&amp;lt;\/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW205483891 BCX0&amp;quot;&amp;gt; unsupervised and supervised models&amp;lt;\/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW205483891 BCX0&amp;quot;&amp;gt;,&amp;lt;\/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW205483891 BCX0&amp;quot;&amp;gt; clustering, classification, regression).&amp;lt;\/span&amp;gt;&lt;\/div&gt;\"  href=\"https:\/\/crp.trb.org\/acrpwebresource18\/glossary\/data-science\/\"  data-gt-translate-attributes='[{\"attribute\":\"data-cmtooltip\", \"format\":\"html\"}]' tabindex='0' role='link'>data science<\/a>, or database management, which is required at higher levels of <a class=\"glossaryLink\"  aria-describedby=\"tt\"  data-cmtooltip=\"&lt;div class=glossaryItemTitle&gt;Analytics&lt;\/div&gt;&lt;div class=glossaryItemBody&gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW232749137 BCX0&amp;quot;&amp;gt;Statistical and mathematical analysis of data to cluster, segment, score, and predict what scenarios are most likely to happen (&amp;lt;\/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW232749137 BCX0&amp;quot;&amp;gt;e.g., &amp;lt;\/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW232749137 BCX0&amp;quot;&amp;gt;data\/text mining, visualization, cluster analysis, forecasting).&amp;lt;\/span&amp;gt;&lt;\/div&gt;\"  href=\"https:\/\/crp.trb.org\/acrpwebresource18\/glossary\/analytics\/\"  data-gt-translate-attributes='[{\"attribute\":\"data-cmtooltip\", \"format\":\"html\"}]' tabindex='0' role='link'>analytics<\/a> maturity. Data is stored in spreadsheets or databases that can be queried. Statistical packages are used to obtain <a class=\"glossaryLink\"  aria-describedby=\"tt\"  data-cmtooltip=\"&lt;div class=glossaryItemTitle&gt;Descriptive Analytics&lt;\/div&gt;&lt;div class=glossaryItemBody&gt;&amp;lt;span class=&amp;quot;TextRun SCXW195113695 BCX0&amp;quot; lang=&amp;quot;EN-US&amp;quot; xml:lang=&amp;quot;EN-US&amp;quot; data-contrast=&amp;quot;auto&amp;quot;&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW195113695 BCX0&amp;quot;&amp;gt;Examination (usually manually performed) of data or content characterized by traditional data visualizations (e.g., pie charts, bar charts, line graphs, tables, generated narratives).&amp;lt;\/span&amp;gt;&amp;lt;\/span&amp;gt;&lt;\/div&gt;\"  href=\"https:\/\/crp.trb.org\/acrpwebresource18\/glossary\/descriptive-analytics\/\"  data-gt-translate-attributes='[{\"attribute\":\"data-cmtooltip\", \"format\":\"html\"}]' tabindex='0' role='link'>descriptive analytics<\/a> with variability and confidence intervals, and to perform correlations and linear regression.<\/p><\/div>\n\t\t\t\t\t\t\t\t\t<div class=\"elementor-tab-title elementor-tab-mobile-title\" aria-selected=\"false\" data-tab=\"3\" role=\"tab\" tabindex=\"-1\" aria-controls=\"elementor-tab-content-1883\" aria-expanded=\"false\">Stage 3: Analytical Aspirations<\/div>\n\t\t\t\t\t<div id=\"elementor-tab-content-1883\" class=\"elementor-tab-content elementor-clearfix\" data-tab=\"3\" role=\"tabpanel\" aria-labelledby=\"elementor-tab-title-1883\" tabindex=\"0\" hidden=\"hidden\"><p><strong>Analytical Aspirations:<\/strong>&nbsp;At the aspirational level, senior leaders recognize the importance of <a class=\"glossaryLink\"  aria-describedby=\"tt\"  data-cmtooltip=\"&lt;div class=glossaryItemTitle&gt;Analytics&lt;\/div&gt;&lt;div class=glossaryItemBody&gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW232749137 BCX0&amp;quot;&amp;gt;Statistical and mathematical analysis of data to cluster, segment, score, and predict what scenarios are most likely to happen (&amp;lt;\/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW232749137 BCX0&amp;quot;&amp;gt;e.g., &amp;lt;\/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW232749137 BCX0&amp;quot;&amp;gt;data\/text mining, visualization, cluster analysis, forecasting).&amp;lt;\/span&amp;gt;&lt;\/div&gt;\"  href=\"https:\/\/crp.trb.org\/acrpwebresource18\/glossary\/analytics\/\"  data-gt-translate-attributes='[{\"attribute\":\"data-cmtooltip\", \"format\":\"html\"}]' tabindex='0' role='link'>analytics<\/a> capabilities and <a class=\"glossaryLink\"  aria-describedby=\"tt\"  data-cmtooltip=\"&lt;div class=glossaryItemTitle&gt;Analytics&lt;\/div&gt;&lt;div class=glossaryItemBody&gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW232749137 BCX0&amp;quot;&amp;gt;Statistical and mathematical analysis of data to cluster, segment, score, and predict what scenarios are most likely to happen (&amp;lt;\/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW232749137 BCX0&amp;quot;&amp;gt;e.g., &amp;lt;\/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW232749137 BCX0&amp;quot;&amp;gt;data\/text mining, visualization, cluster analysis, forecasting).&amp;lt;\/span&amp;gt;&lt;\/div&gt;\"  href=\"https:\/\/crp.trb.org\/acrpwebresource18\/glossary\/analytics\/\"  data-gt-translate-attributes='[{\"attribute\":\"data-cmtooltip\", \"format\":\"html\"}]' tabindex='0' role='link'>analytics<\/a> initiatives are focused on a small set of important business processes. The enterprise has an <a class=\"glossaryLink\"  aria-describedby=\"tt\"  data-cmtooltip=\"&lt;div class=glossaryItemTitle&gt;Analytics&lt;\/div&gt;&lt;div class=glossaryItemBody&gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW232749137 BCX0&amp;quot;&amp;gt;Statistical and mathematical analysis of data to cluster, segment, score, and predict what scenarios are most likely to happen (&amp;lt;\/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW232749137 BCX0&amp;quot;&amp;gt;e.g., &amp;lt;\/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW232749137 BCX0&amp;quot;&amp;gt;data\/text mining, visualization, cluster analysis, forecasting).&amp;lt;\/span&amp;gt;&lt;\/div&gt;\"  href=\"https:\/\/crp.trb.org\/acrpwebresource18\/glossary\/analytics\/\"  data-gt-translate-attributes='[{\"attribute\":\"data-cmtooltip\", \"format\":\"html\"}]' tabindex='0' role='link'>analytics<\/a> plan in place to develop the infrastructure, platform, and tools for <a class=\"glossaryLink\"  aria-describedby=\"tt\"  data-cmtooltip=\"&lt;div class=glossaryItemTitle&gt;Analytics&lt;\/div&gt;&lt;div class=glossaryItemBody&gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW232749137 BCX0&amp;quot;&amp;gt;Statistical and mathematical analysis of data to cluster, segment, score, and predict what scenarios are most likely to happen (&amp;lt;\/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW232749137 BCX0&amp;quot;&amp;gt;e.g., &amp;lt;\/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW232749137 BCX0&amp;quot;&amp;gt;data\/text mining, visualization, cluster analysis, forecasting).&amp;lt;\/span&amp;gt;&lt;\/div&gt;\"  href=\"https:\/\/crp.trb.org\/acrpwebresource18\/glossary\/analytics\/\"  data-gt-translate-attributes='[{\"attribute\":\"data-cmtooltip\", \"format\":\"html\"}]' tabindex='0' role='link'>analytics<\/a>. Data is integrated in a <a class=\"glossaryLink\"  aria-describedby=\"tt\"  data-cmtooltip=\"&lt;div class=glossaryItemTitle&gt;Data Warehouse&lt;\/div&gt;&lt;div class=glossaryItemBody&gt;&amp;lt;span class=&amp;quot;TextRun SCXW102996774 BCX0&amp;quot; lang=&amp;quot;EN-US&amp;quot; xml:lang=&amp;quot;EN-US&amp;quot; data-contrast=&amp;quot;auto&amp;quot;&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW102996774 BCX0&amp;quot;&amp;gt;Storage architecture designed to hold data extracted from transaction systems, operational data stores, and external sources. Combines the data in an aggregate, summary form suitable for enterprise-wide data analysis and reporting for predefined business needs.&amp;lt;\/span&amp;gt;&amp;lt;\/span&amp;gt;&lt;\/div&gt;\"  href=\"https:\/\/crp.trb.org\/acrpwebresource18\/glossary\/data-warehouse\/\"  data-gt-translate-attributes='[{\"attribute\":\"data-cmtooltip\", \"format\":\"html\"}]' tabindex='0' role='link'>data warehouse<\/a> or <a class=\"glossaryLink\"  aria-describedby=\"tt\"  data-cmtooltip=\"&lt;div class=glossaryItemTitle&gt;Data Lake&lt;\/div&gt;&lt;div class=glossaryItemBody&gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW164549948 BCX0&amp;quot;&amp;gt;Collection of storage instances of various data assets that are stored in a near-exact (or exact) copy of the source format, in addition to the &amp;lt;\/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW164549948 BCX0&amp;quot;&amp;gt;originating&amp;lt;\/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW164549948 BCX0&amp;quot;&amp;gt; data stores.&amp;lt;\/span&amp;gt;&lt;\/div&gt;\"  href=\"https:\/\/crp.trb.org\/acrpwebresource18\/glossary\/data-lake\/\"  data-gt-translate-attributes='[{\"attribute\":\"data-cmtooltip\", \"format\":\"html\"}]' tabindex='0' role='link'>data lake<\/a>. Analysts provide key talent and are focused on important business areas. Simple <a class=\"glossaryLink\"  aria-describedby=\"tt\"  data-cmtooltip=\"&lt;div class=glossaryItemTitle&gt;Predictive Analytics&lt;\/div&gt;&lt;div class=glossaryItemBody&gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW180822467 BCX0&amp;quot;&amp;gt;Advanced analytics procedures or techniques for analyzing content or data to predict characteristics of target variables based on relevant features or attributes of the data (e.g., predictive modeling, regression analysis, multivariate statistics, forecasting, and classification)&amp;lt;\/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW180822467 BCX0&amp;quot;&amp;gt;.&nbsp;&amp;lt;\/span&amp;gt;&lt;\/div&gt;\"  href=\"https:\/\/crp.trb.org\/acrpwebresource18\/glossary\/predictive-analytics\/\"  data-gt-translate-attributes='[{\"attribute\":\"data-cmtooltip\", \"format\":\"html\"}]' tabindex='0' role='link'>predictive analytics<\/a> models (e.g., regression, classification, clustering) are used for <a class=\"glossaryLink\"  aria-describedby=\"tt\"  data-cmtooltip=\"&lt;div class=glossaryItemTitle&gt;Forecasting&lt;\/div&gt;&lt;div class=glossaryItemBody&gt;&amp;lt;span class=&amp;quot;TextRun SCXW33429170 BCX0&amp;quot; lang=&amp;quot;EN-US&amp;quot; xml:lang=&amp;quot;EN-US&amp;quot; data-contrast=&amp;quot;auto&amp;quot;&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW33429170 BCX0&amp;quot;&amp;gt;Predictive analytics technique that takes data and predicts the future value for the data by factoring in a variety of inputs and identifying trends.&amp;lt;\/span&amp;gt;&amp;lt;\/span&amp;gt;&lt;\/div&gt;\"  href=\"https:\/\/crp.trb.org\/acrpwebresource18\/glossary\/forecasting\/\"  data-gt-translate-attributes='[{\"attribute\":\"data-cmtooltip\", \"format\":\"html\"}]' tabindex='0' role='link'>forecasting<\/a>.<\/p><\/div>\n\t\t\t\t\t\t\t\t\t<div class=\"elementor-tab-title elementor-tab-mobile-title\" aria-selected=\"false\" data-tab=\"4\" role=\"tab\" tabindex=\"-1\" aria-controls=\"elementor-tab-content-1884\" aria-expanded=\"false\">Stage 4: Analytical Organizations<\/div>\n\t\t\t\t\t<div id=\"elementor-tab-content-1884\" class=\"elementor-tab-content elementor-clearfix\" data-tab=\"4\" role=\"tabpanel\" aria-labelledby=\"elementor-tab-title-1884\" tabindex=\"0\" hidden=\"hidden\"><p><strong>Analytical Organizations:<\/strong> In a data-driven organization, <a class=\"glossaryLink\"  aria-describedby=\"tt\"  data-cmtooltip=\"&lt;div class=glossaryItemTitle&gt;Analytics&lt;\/div&gt;&lt;div class=glossaryItemBody&gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW232749137 BCX0&amp;quot;&amp;gt;Statistical and mathematical analysis of data to cluster, segment, score, and predict what scenarios are most likely to happen (&amp;lt;\/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW232749137 BCX0&amp;quot;&amp;gt;e.g., &amp;lt;\/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW232749137 BCX0&amp;quot;&amp;gt;data\/text mining, visualization, cluster analysis, forecasting).&amp;lt;\/span&amp;gt;&lt;\/div&gt;\"  href=\"https:\/\/crp.trb.org\/acrpwebresource18\/glossary\/analytics\/\"  data-gt-translate-attributes='[{\"attribute\":\"data-cmtooltip\", \"format\":\"html\"}]' tabindex='0' role='link'>analytics<\/a> are integral to strategic plans and analytical capabilities are being actively expanded. Data, technology, and analysts are managed from an enterprise perspective. Quality data are integrated and stored in cloud-based data warehouses or data lakes that may be managed by IT. <a class=\"glossaryLink\"  aria-describedby=\"tt\"  data-cmtooltip=\"&lt;div class=glossaryItemTitle&gt;Analytics&lt;\/div&gt;&lt;div class=glossaryItemBody&gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW232749137 BCX0&amp;quot;&amp;gt;Statistical and mathematical analysis of data to cluster, segment, score, and predict what scenarios are most likely to happen (&amp;lt;\/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW232749137 BCX0&amp;quot;&amp;gt;e.g., &amp;lt;\/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW232749137 BCX0&amp;quot;&amp;gt;data\/text mining, visualization, cluster analysis, forecasting).&amp;lt;\/span&amp;gt;&lt;\/div&gt;\"  href=\"https:\/\/crp.trb.org\/acrpwebresource18\/glossary\/analytics\/\"  data-gt-translate-attributes='[{\"attribute\":\"data-cmtooltip\", \"format\":\"html\"}]' tabindex='0' role='link'>Analytics<\/a> initiatives are focused on key high value, high impact business areas, with some coordination across functional divisions or operational units. Highly skilled analysts are recruited and engaged to deploy advanced <a class=\"glossaryLink\"  aria-describedby=\"tt\"  data-cmtooltip=\"&lt;div class=glossaryItemTitle&gt;Predictive Analytics&lt;\/div&gt;&lt;div class=glossaryItemBody&gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW180822467 BCX0&amp;quot;&amp;gt;Advanced analytics procedures or techniques for analyzing content or data to predict characteristics of target variables based on relevant features or attributes of the data (e.g., predictive modeling, regression analysis, multivariate statistics, forecasting, and classification)&amp;lt;\/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW180822467 BCX0&amp;quot;&amp;gt;.&nbsp;&amp;lt;\/span&amp;gt;&lt;\/div&gt;\"  href=\"https:\/\/crp.trb.org\/acrpwebresource18\/glossary\/predictive-analytics\/\"  data-gt-translate-attributes='[{\"attribute\":\"data-cmtooltip\", \"format\":\"html\"}]' tabindex='0' role='link'>predictive analytics<\/a> methods and discover insights from data using statistical and <a class=\"glossaryLink\"  aria-describedby=\"tt\"  data-cmtooltip=\"&lt;div class=glossaryItemTitle&gt;Machine Learning (ML)&lt;\/div&gt;&lt;div class=glossaryItemBody&gt;&amp;lt;span class=&amp;quot;TextRun SCXW86997922 BCX0&amp;quot; lang=&amp;quot;EN-US&amp;quot; xml:lang=&amp;quot;EN-US&amp;quot; data-contrast=&amp;quot;auto&amp;quot;&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW86997922 BCX0&amp;quot;&amp;gt;Advanced computational algorithms based on mathematical or statistical models, used for both supervised learning tasks (e.g., classification, regression) and unsupervised learning tasks (e.g., clustering, dimension reduction). ML models are trained on a subset of data (training set) and then model performance is tested on previously unseen data (test set).&nbsp;&amp;lt;\/span&amp;gt;&amp;lt;\/span&amp;gt;&lt;\/div&gt;\"  href=\"https:\/\/crp.trb.org\/acrpwebresource18\/glossary\/machine-learning-ml\/\"  data-gt-translate-attributes='[{\"attribute\":\"data-cmtooltip\", \"format\":\"html\"}]' tabindex='0' role='link'>machine learning (ML)<\/a> algorithms, model optimization, <a class=\"glossaryLink\"  aria-describedby=\"tt\"  data-cmtooltip=\"&lt;div class=glossaryItemTitle&gt;Sentiment Analysis&lt;\/div&gt;&lt;div class=glossaryItemBody&gt;&amp;lt;span class=&amp;quot;TextRun SCXW238648406 BCX0&amp;quot; lang=&amp;quot;EN-US&amp;quot; xml:lang=&amp;quot;EN-US&amp;quot; data-contrast=&amp;quot;auto&amp;quot;&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW238648406 BCX0&amp;quot;&amp;gt;Analysis procedure for &amp;lt;\/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW238648406 BCX0&amp;quot;&amp;gt;determining&amp;lt;\/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW238648406 BCX0&amp;quot;&amp;gt; whether text is positive, negative&amp;lt;\/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW238648406 BCX0&amp;quot;&amp;gt;,&amp;lt;\/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW238648406 BCX0&amp;quot;&amp;gt; or neutral&amp;lt;\/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW238648406 BCX0&amp;quot;&amp;gt;.&amp;lt;\/span&amp;gt;&amp;lt;\/span&amp;gt;&amp;lt;span class=&amp;quot;TextRun SCXW238648406 BCX0&amp;quot; lang=&amp;quot;EN-US&amp;quot; xml:lang=&amp;quot;EN-US&amp;quot; data-contrast=&amp;quot;auto&amp;quot;&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW238648406 BCX0&amp;quot;&amp;gt;&nbsp;&nbsp;&amp;lt;\/span&amp;gt;&amp;lt;\/span&amp;gt;&lt;\/div&gt;\"  href=\"https:\/\/crp.trb.org\/acrpwebresource18\/glossary\/sentiment-analysis\/\"  data-gt-translate-attributes='[{\"attribute\":\"data-cmtooltip\", \"format\":\"html\"}]' tabindex='0' role='link'>sentiment analysis<\/a>, and text or image <a class=\"glossaryLink\"  aria-describedby=\"tt\"  data-cmtooltip=\"&lt;div class=glossaryItemTitle&gt;Analytics&lt;\/div&gt;&lt;div class=glossaryItemBody&gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW232749137 BCX0&amp;quot;&amp;gt;Statistical and mathematical analysis of data to cluster, segment, score, and predict what scenarios are most likely to happen (&amp;lt;\/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW232749137 BCX0&amp;quot;&amp;gt;e.g., &amp;lt;\/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW232749137 BCX0&amp;quot;&amp;gt;data\/text mining, visualization, cluster analysis, forecasting).&amp;lt;\/span&amp;gt;&lt;\/div&gt;\"  href=\"https:\/\/crp.trb.org\/acrpwebresource18\/glossary\/analytics\/\"  data-gt-translate-attributes='[{\"attribute\":\"data-cmtooltip\", \"format\":\"html\"}]' tabindex='0' role='link'>analytics<\/a>.<\/p><\/div>\n\t\t\t\t\t\t\t\t\t<div class=\"elementor-tab-title elementor-tab-mobile-title\" aria-selected=\"false\" data-tab=\"5\" role=\"tab\" tabindex=\"-1\" aria-controls=\"elementor-tab-content-1885\" aria-expanded=\"false\">Stage 5: Analytical Competitors<\/div>\n\t\t\t\t\t<div id=\"elementor-tab-content-1885\" class=\"elementor-tab-content elementor-clearfix\" data-tab=\"5\" role=\"tabpanel\" aria-labelledby=\"elementor-tab-title-1885\" tabindex=\"0\" hidden=\"hidden\"><p><strong>Analytical Competitors:<\/strong>&nbsp;The culture of <a class=\"glossaryLink\"  aria-describedby=\"tt\"  data-cmtooltip=\"&lt;div class=glossaryItemTitle&gt;Analytics&lt;\/div&gt;&lt;div class=glossaryItemBody&gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW232749137 BCX0&amp;quot;&amp;gt;Statistical and mathematical analysis of data to cluster, segment, score, and predict what scenarios are most likely to happen (&amp;lt;\/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW232749137 BCX0&amp;quot;&amp;gt;e.g., &amp;lt;\/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW232749137 BCX0&amp;quot;&amp;gt;data\/text mining, visualization, cluster analysis, forecasting).&amp;lt;\/span&amp;gt;&lt;\/div&gt;\"  href=\"https:\/\/crp.trb.org\/acrpwebresource18\/glossary\/analytics\/\"  data-gt-translate-attributes='[{\"attribute\":\"data-cmtooltip\", \"format\":\"html\"}]' tabindex='0' role='link'>analytics<\/a> is pervasive across the enterprise. Organizational leaders behave analytically and are engaged with the competitive advantage of <a class=\"glossaryLink\"  aria-describedby=\"tt\"  data-cmtooltip=\"&lt;div class=glossaryItemTitle&gt;Analytics&lt;\/div&gt;&lt;div class=glossaryItemBody&gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW232749137 BCX0&amp;quot;&amp;gt;Statistical and mathematical analysis of data to cluster, segment, score, and predict what scenarios are most likely to happen (&amp;lt;\/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW232749137 BCX0&amp;quot;&amp;gt;e.g., &amp;lt;\/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW232749137 BCX0&amp;quot;&amp;gt;data\/text mining, visualization, cluster analysis, forecasting).&amp;lt;\/span&amp;gt;&lt;\/div&gt;\"  href=\"https:\/\/crp.trb.org\/acrpwebresource18\/glossary\/analytics\/\"  data-gt-translate-attributes='[{\"attribute\":\"data-cmtooltip\", \"format\":\"html\"}]' tabindex='0' role='link'>analytics<\/a>. Analytical resources are focused on enterprise priorities. Data is managed as a strategic asset, with new data and metrics being continuously identified. A sophisticated, enterprise-wide <a class=\"glossaryLink\"  aria-describedby=\"tt\"  data-cmtooltip=\"&lt;div class=glossaryItemTitle&gt;Big Data&lt;\/div&gt;&lt;div class=glossaryItemBody&gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW195689114 BCX0&amp;quot;&amp;gt;High volume, high velocity&amp;lt;\/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW195689114 BCX0&amp;quot;&amp;gt;,&amp;lt;\/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW195689114 BCX0&amp;quot;&amp;gt; and high variety information assets that require cost-effective, innovative forms of information processing to &amp;lt;\/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW195689114 BCX0&amp;quot;&amp;gt;identify&amp;lt;\/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW195689114 BCX0&amp;quot;&amp;gt; insights and inform decision-making.&amp;lt;\/span&amp;gt;&lt;\/div&gt;\"  href=\"https:\/\/crp.trb.org\/acrpwebresource18\/glossary\/big-data\/\"  data-gt-translate-attributes='[{\"attribute\":\"data-cmtooltip\", \"format\":\"html\"}]' tabindex='0' role='link'>big data<\/a> and <a class=\"glossaryLink\"  aria-describedby=\"tt\"  data-cmtooltip=\"&lt;div class=glossaryItemTitle&gt;Analytics&lt;\/div&gt;&lt;div class=glossaryItemBody&gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW232749137 BCX0&amp;quot;&amp;gt;Statistical and mathematical analysis of data to cluster, segment, score, and predict what scenarios are most likely to happen (&amp;lt;\/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW232749137 BCX0&amp;quot;&amp;gt;e.g., &amp;lt;\/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW232749137 BCX0&amp;quot;&amp;gt;data\/text mining, visualization, cluster analysis, forecasting).&amp;lt;\/span&amp;gt;&lt;\/div&gt;\"  href=\"https:\/\/crp.trb.org\/acrpwebresource18\/glossary\/analytics\/\"  data-gt-translate-attributes='[{\"attribute\":\"data-cmtooltip\", \"format\":\"html\"}]' tabindex='0' role='link'>analytics<\/a> <a class=\"glossaryLink\"  aria-describedby=\"tt\"  data-cmtooltip=\"&lt;div class=glossaryItemTitle&gt;Architecture&lt;\/div&gt;&lt;div class=glossaryItemBody&gt;In reference to computers, software, or networks, the overall design of the computing system and the logical and physical interrelationships between its components. The architecture specifies the hardware, software, and access methods and protocols used throughout the system.&lt;\/div&gt;\"  href=\"https:\/\/crp.trb.org\/acrpwebresource18\/glossary\/architecture\/\"  data-gt-translate-attributes='[{\"attribute\":\"data-cmtooltip\", \"format\":\"html\"}]' tabindex='0' role='link'>architecture<\/a> is in place. Professional analysts are cultivated, and the <a class=\"glossaryLink\"  aria-describedby=\"tt\"  data-cmtooltip=\"&lt;div class=glossaryItemTitle&gt;Analytics&lt;\/div&gt;&lt;div class=glossaryItemBody&gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW232749137 BCX0&amp;quot;&amp;gt;Statistical and mathematical analysis of data to cluster, segment, score, and predict what scenarios are most likely to happen (&amp;lt;\/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW232749137 BCX0&amp;quot;&amp;gt;e.g., &amp;lt;\/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW232749137 BCX0&amp;quot;&amp;gt;data\/text mining, visualization, cluster analysis, forecasting).&amp;lt;\/span&amp;gt;&lt;\/div&gt;\"  href=\"https:\/\/crp.trb.org\/acrpwebresource18\/glossary\/analytics\/\"  data-gt-translate-attributes='[{\"attribute\":\"data-cmtooltip\", \"format\":\"html\"}]' tabindex='0' role='link'>analytics<\/a> team is separate from IT. Prescriptive and autonomous <a class=\"glossaryLink\"  aria-describedby=\"tt\"  data-cmtooltip=\"&lt;div class=glossaryItemTitle&gt;Analytics&lt;\/div&gt;&lt;div class=glossaryItemBody&gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW232749137 BCX0&amp;quot;&amp;gt;Statistical and mathematical analysis of data to cluster, segment, score, and predict what scenarios are most likely to happen (&amp;lt;\/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW232749137 BCX0&amp;quot;&amp;gt;e.g., &amp;lt;\/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW232749137 BCX0&amp;quot;&amp;gt;data\/text mining, visualization, cluster analysis, forecasting).&amp;lt;\/span&amp;gt;&lt;\/div&gt;\"  href=\"https:\/\/crp.trb.org\/acrpwebresource18\/glossary\/analytics\/\"  data-gt-translate-attributes='[{\"attribute\":\"data-cmtooltip\", \"format\":\"html\"}]' tabindex='0' role='link'>analytics<\/a> are implemented using automated ML and <a class=\"glossaryLink\"  aria-describedby=\"tt\"  data-cmtooltip=\"&lt;div class=glossaryItemTitle&gt;Artificial Intelligence (AI)&lt;\/div&gt;&lt;div class=glossaryItemBody&gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW264851638 BCX0&amp;quot;&amp;gt;A&amp;lt;\/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW264851638 BCX0&amp;quot;&amp;gt;utomated computational algorithms based on mathematical, statistical, and logic-based techniques, trained on &amp;lt;\/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW264851638 BCX0&amp;quot;&amp;gt;very large&amp;lt;\/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW264851638 BCX0&amp;quot;&amp;gt; amounts of &amp;lt;\/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW264851638 BCX0&amp;quot;&amp;gt;data&amp;lt;\/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW264851638 BCX0&amp;quot;&amp;gt; and used to interpret events, support and automate decisions, and recommend actions based on model outputs (e.g., machine learning, neural networks, deep learning,&amp;lt;\/span&amp;gt; &amp;lt;span class=&amp;quot;NormalTextRun SCXW264851638 BCX0&amp;quot;&amp;gt;natural language processing).&amp;lt;\/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW264851638 BCX0&amp;quot;&amp;gt;&nbsp;&amp;lt;\/span&amp;gt;&lt;\/div&gt;\"  href=\"https:\/\/crp.trb.org\/acrpwebresource18\/glossary\/artificial-intelligence-ai\/\"  data-gt-translate-attributes='[{\"attribute\":\"data-cmtooltip\", \"format\":\"html\"}]' tabindex='0' role='link'>artificial intelligence (AI)<\/a>, ensemble models, and deep learning neural networks.<\/p><\/div>\n\t\t\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-1e4ea177 elementor-widget elementor-widget-spacer\" data-id=\"1e4ea177\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"spacer.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<div class=\"elementor-spacer\">\n\t\t\t<div class=\"elementor-spacer-inner\"><\/div>\n\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-516fa5e0 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"516fa5e0\" data-element_type=\"section\" data-e-type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-4f4ec3e7\" data-id=\"4f4ec3e7\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-16e9eb7b elementor-widget elementor-widget-heading\" data-id=\"16e9eb7b\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h3 class=\"elementor-heading-title elementor-size-small\">Figure 2. Stage Model of Analytics Maturity<\/h3>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-e782da8 elementor-widget elementor-widget-image\" data-id=\"e782da8\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"image.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<img fetchpriority=\"high\" decoding=\"async\" width=\"1280\" height=\"720\" src=\"https:\/\/crp.trb.org\/acrpwebresource18\/wp-content\/uploads\/sites\/34\/2024\/11\/Analytics-Maturity-Model.jpg\" class=\"attachment-full size-full wp-image-1240\" alt=\"\" srcset=\"https:\/\/crp.trb.org\/acrpwebresource18\/wp-content\/uploads\/sites\/34\/2024\/11\/Analytics-Maturity-Model.jpg 1280w, https:\/\/crp.trb.org\/acrpwebresource18\/wp-content\/uploads\/sites\/34\/2024\/11\/Analytics-Maturity-Model-300x169.jpg 300w, https:\/\/crp.trb.org\/acrpwebresource18\/wp-content\/uploads\/sites\/34\/2024\/11\/Analytics-Maturity-Model-1024x576.jpg 1024w, https:\/\/crp.trb.org\/acrpwebresource18\/wp-content\/uploads\/sites\/34\/2024\/11\/Analytics-Maturity-Model-768x432.jpg 768w, https:\/\/crp.trb.org\/acrpwebresource18\/wp-content\/uploads\/sites\/34\/2024\/11\/Analytics-Maturity-Model-1200x675.jpg 1200w\" sizes=\"(max-width: 709px) 85vw, (max-width: 909px) 67vw, (max-width: 1362px) 62vw, 840px\"\/>\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-35c3a4b2 elementor-widget elementor-widget-spacer\" data-id=\"35c3a4b2\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"spacer.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<div class=\"elementor-spacer\">\n\t\t\t<div class=\"elementor-spacer-inner\"><\/div>\n\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-5ec70c62 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"5ec70c62\" data-element_type=\"section\" data-e-type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-56618887\" data-id=\"56618887\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-2a44254 elementor-widget elementor-widget-heading\" data-id=\"2a44254\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-large\">Estimating Your Organizational Analytics Maturity<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-41bae614 elementor-widget elementor-widget-text-editor\" data-id=\"41bae614\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p>The following set of questions provides examples of 10 key data management and <a class=\"glossaryLink\"  aria-describedby=\"tt\"  data-cmtooltip=\"&lt;div class=glossaryItemTitle&gt;Analytics&lt;\/div&gt;&lt;div class=glossaryItemBody&gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW232749137 BCX0&amp;quot;&amp;gt;Statistical and mathematical analysis of data to cluster, segment, score, and predict what scenarios are most likely to happen (&amp;lt;\/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW232749137 BCX0&amp;quot;&amp;gt;e.g., &amp;lt;\/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW232749137 BCX0&amp;quot;&amp;gt;data\/text mining, visualization, cluster analysis, forecasting).&amp;lt;\/span&amp;gt;&lt;\/div&gt;\"  href=\"https:\/\/crp.trb.org\/acrpwebresource18\/glossary\/analytics\/\"  data-gt-translate-attributes='[{\"attribute\":\"data-cmtooltip\", \"format\":\"html\"}]' tabindex='0' role='link'>analytics<\/a> practices for estimating the approximate maturity of your organization. These questions provide an opportunity to reflect on different aspects of your <a class=\"glossaryLink\"  aria-describedby=\"tt\"  data-cmtooltip=\"&lt;div class=glossaryItemTitle&gt;Analytics&lt;\/div&gt;&lt;div class=glossaryItemBody&gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW232749137 BCX0&amp;quot;&amp;gt;Statistical and mathematical analysis of data to cluster, segment, score, and predict what scenarios are most likely to happen (&amp;lt;\/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW232749137 BCX0&amp;quot;&amp;gt;e.g., &amp;lt;\/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW232749137 BCX0&amp;quot;&amp;gt;data\/text mining, visualization, cluster analysis, forecasting).&amp;lt;\/span&amp;gt;&lt;\/div&gt;\"  href=\"https:\/\/crp.trb.org\/acrpwebresource18\/glossary\/analytics\/\"  data-gt-translate-attributes='[{\"attribute\":\"data-cmtooltip\", \"format\":\"html\"}]' tabindex='0' role='link'>analytics<\/a> program. Your responses will be used to suggest activities for advancing your organization&rsquo;s <a class=\"glossaryLink\"  aria-describedby=\"tt\"  data-cmtooltip=\"&lt;div class=glossaryItemTitle&gt;Analytics&lt;\/div&gt;&lt;div class=glossaryItemBody&gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW232749137 BCX0&amp;quot;&amp;gt;Statistical and mathematical analysis of data to cluster, segment, score, and predict what scenarios are most likely to happen (&amp;lt;\/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW232749137 BCX0&amp;quot;&amp;gt;e.g., &amp;lt;\/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW232749137 BCX0&amp;quot;&amp;gt;data\/text mining, visualization, cluster analysis, forecasting).&amp;lt;\/span&amp;gt;&lt;\/div&gt;\"  href=\"https:\/\/crp.trb.org\/acrpwebresource18\/glossary\/analytics\/\"  data-gt-translate-attributes='[{\"attribute\":\"data-cmtooltip\", \"format\":\"html\"}]' tabindex='0' role='link'>analytics<\/a> maturity.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-36b453a8 elementor-widget elementor-widget-wp-widget-ipt_fsqm_form_widget\" data-id=\"36b453a8\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"wp-widget-ipt_fsqm_form_widget.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<div class=\"ipt_fsqm_form_widget_inner\"><style type=\"text\/css\">iframe.wpq-eform-iframe {width: 1px; min-width: 100%; border: 0 none; outline: none;}<\/style><div><div style=\"overflow: auto; -webkit-overflow-scrolling:touch;\"><iframe scrolling=\"no\" style=\"\" allowtransparency=\"true\" class=\"wpq-eform-iframe\" src=\"https:\/\/crp.trb.org\/acrpwebresource18\/eforms\/estimating-your-organizational-analytics-maturity\/6\/?iframe_embed=1\"><\/iframe><\/div><\/div><\/div>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-36bfe0f1 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"36bfe0f1\" data-element_type=\"section\" data-e-type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-674e3a06\" data-id=\"674e3a06\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-3bbd50b2 elementor-widget elementor-widget-spacer\" data-id=\"3bbd50b2\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"spacer.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<div class=\"elementor-spacer\">\n\t\t\t<div class=\"elementor-spacer-inner\"><\/div>\n\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-69873432 elementor-widget elementor-widget-heading\" data-id=\"69873432\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-large\">Steps that Airports Can Take to Progress in their Analytics Maturity<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-21ab74dd elementor-widget elementor-widget-text-editor\" data-id=\"21ab74dd\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p>The maturity model describes data and <a class=\"glossaryLink\"  aria-describedby=\"tt\"  data-cmtooltip=\"&lt;div class=glossaryItemTitle&gt;Analytics&lt;\/div&gt;&lt;div class=glossaryItemBody&gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW232749137 BCX0&amp;quot;&amp;gt;Statistical and mathematical analysis of data to cluster, segment, score, and predict what scenarios are most likely to happen (&amp;lt;\/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW232749137 BCX0&amp;quot;&amp;gt;e.g., &amp;lt;\/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW232749137 BCX0&amp;quot;&amp;gt;data\/text mining, visualization, cluster analysis, forecasting).&amp;lt;\/span&amp;gt;&lt;\/div&gt;\"  href=\"https:\/\/crp.trb.org\/acrpwebresource18\/glossary\/analytics\/\"  data-gt-translate-attributes='[{\"attribute\":\"data-cmtooltip\", \"format\":\"html\"}]' tabindex='0' role='link'>analytics<\/a> capabilities as distinct stages, but the progression of <a class=\"glossaryLink\"  aria-describedby=\"tt\"  data-cmtooltip=\"&lt;div class=glossaryItemTitle&gt;Analytics&lt;\/div&gt;&lt;div class=glossaryItemBody&gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW232749137 BCX0&amp;quot;&amp;gt;Statistical and mathematical analysis of data to cluster, segment, score, and predict what scenarios are most likely to happen (&amp;lt;\/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW232749137 BCX0&amp;quot;&amp;gt;e.g., &amp;lt;\/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW232749137 BCX0&amp;quot;&amp;gt;data\/text mining, visualization, cluster analysis, forecasting).&amp;lt;\/span&amp;gt;&lt;\/div&gt;\"  href=\"https:\/\/crp.trb.org\/acrpwebresource18\/glossary\/analytics\/\"  data-gt-translate-attributes='[{\"attribute\":\"data-cmtooltip\", \"format\":\"html\"}]' tabindex='0' role='link'>analytics<\/a> development is often more incremental and continuous. In addition, an organization can be at a higher level of maturity in one area (e.g., <a class=\"glossaryLink\"  aria-describedby=\"tt\"  data-cmtooltip=\"&lt;div class=glossaryItemTitle&gt;Analytics&lt;\/div&gt;&lt;div class=glossaryItemBody&gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW232749137 BCX0&amp;quot;&amp;gt;Statistical and mathematical analysis of data to cluster, segment, score, and predict what scenarios are most likely to happen (&amp;lt;\/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW232749137 BCX0&amp;quot;&amp;gt;e.g., &amp;lt;\/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW232749137 BCX0&amp;quot;&amp;gt;data\/text mining, visualization, cluster analysis, forecasting).&amp;lt;\/span&amp;gt;&lt;\/div&gt;\"  href=\"https:\/\/crp.trb.org\/acrpwebresource18\/glossary\/analytics\/\"  data-gt-translate-attributes='[{\"attribute\":\"data-cmtooltip\", \"format\":\"html\"}]' tabindex='0' role='link'>analytics<\/a> strategy and planning) and simultaneously at a lower level of maturity in another area (e.g., data management, <a class=\"glossaryLink\"  aria-describedby=\"tt\"  data-cmtooltip=\"&lt;div class=glossaryItemTitle&gt;Analytics&lt;\/div&gt;&lt;div class=glossaryItemBody&gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW232749137 BCX0&amp;quot;&amp;gt;Statistical and mathematical analysis of data to cluster, segment, score, and predict what scenarios are most likely to happen (&amp;lt;\/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW232749137 BCX0&amp;quot;&amp;gt;e.g., &amp;lt;\/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW232749137 BCX0&amp;quot;&amp;gt;data\/text mining, visualization, cluster analysis, forecasting).&amp;lt;\/span&amp;gt;&lt;\/div&gt;\"  href=\"https:\/\/crp.trb.org\/acrpwebresource18\/glossary\/analytics\/\"  data-gt-translate-attributes='[{\"attribute\":\"data-cmtooltip\", \"format\":\"html\"}]' tabindex='0' role='link'>analytics<\/a> techniques). The section below describes several activities and practices that mark the transition between different levels of maturity. Airports can advance the development of their <a class=\"glossaryLink\"  aria-describedby=\"tt\"  data-cmtooltip=\"&lt;div class=glossaryItemTitle&gt;Analytics&lt;\/div&gt;&lt;div class=glossaryItemBody&gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW232749137 BCX0&amp;quot;&amp;gt;Statistical and mathematical analysis of data to cluster, segment, score, and predict what scenarios are most likely to happen (&amp;lt;\/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW232749137 BCX0&amp;quot;&amp;gt;e.g., &amp;lt;\/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW232749137 BCX0&amp;quot;&amp;gt;data\/text mining, visualization, cluster analysis, forecasting).&amp;lt;\/span&amp;gt;&lt;\/div&gt;\"  href=\"https:\/\/crp.trb.org\/acrpwebresource18\/glossary\/analytics\/\"  data-gt-translate-attributes='[{\"attribute\":\"data-cmtooltip\", \"format\":\"html\"}]' tabindex='0' role='link'>analytics<\/a> maturity by incorporating best practices for data management, <a class=\"glossaryLink\"  aria-describedby=\"tt\"  data-cmtooltip=\"&lt;div class=glossaryItemTitle&gt;Analytics&lt;\/div&gt;&lt;div class=glossaryItemBody&gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW232749137 BCX0&amp;quot;&amp;gt;Statistical and mathematical analysis of data to cluster, segment, score, and predict what scenarios are most likely to happen (&amp;lt;\/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW232749137 BCX0&amp;quot;&amp;gt;e.g., &amp;lt;\/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW232749137 BCX0&amp;quot;&amp;gt;data\/text mining, visualization, cluster analysis, forecasting).&amp;lt;\/span&amp;gt;&lt;\/div&gt;\"  href=\"https:\/\/crp.trb.org\/acrpwebresource18\/glossary\/analytics\/\"  data-gt-translate-attributes='[{\"attribute\":\"data-cmtooltip\", \"format\":\"html\"}]' tabindex='0' role='link'>analytics<\/a> procedures, and strategic planning in their <a class=\"glossaryLink\"  aria-describedby=\"tt\"  data-cmtooltip=\"&lt;div class=glossaryItemTitle&gt;Analytics&lt;\/div&gt;&lt;div class=glossaryItemBody&gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW232749137 BCX0&amp;quot;&amp;gt;Statistical and mathematical analysis of data to cluster, segment, score, and predict what scenarios are most likely to happen (&amp;lt;\/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW232749137 BCX0&amp;quot;&amp;gt;e.g., &amp;lt;\/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW232749137 BCX0&amp;quot;&amp;gt;data\/text mining, visualization, cluster analysis, forecasting).&amp;lt;\/span&amp;gt;&lt;\/div&gt;\"  href=\"https:\/\/crp.trb.org\/acrpwebresource18\/glossary\/analytics\/\"  data-gt-translate-attributes='[{\"attribute\":\"data-cmtooltip\", \"format\":\"html\"}]' tabindex='0' role='link'>analytics<\/a> pathway.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-7bc36763 elementor-widget elementor-widget-spacer\" data-id=\"7bc36763\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"spacer.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<div class=\"elementor-spacer\">\n\t\t\t<div class=\"elementor-spacer-inner\"><\/div>\n\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-32e4808 elementor-widget elementor-widget-heading\" data-id=\"32e4808\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h3 class=\"elementor-heading-title elementor-size-medium\">Transition from Analytics Formation (Stage 1) to Localized Analytics (Stage 2)<\/h3>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-a4c3e83 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"a4c3e83\" data-element_type=\"section\" data-e-type=\"section\" id=\"stage1\" data-settings='{\"background_background\":\"classic\"}'>\n\t\t\t\t\t\t\t<div class=\"elementor-background-overlay\"><\/div>\n\t\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-50 elementor-top-column elementor-element elementor-element-6968fb3\" data-id=\"6968fb3\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-5dfb6a8 elementor-view-default elementor-widget elementor-widget-icon\" data-id=\"5dfb6a8\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"icon.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<div class=\"elementor-icon-wrapper\">\n\t\t\t<div class=\"elementor-icon\">\n\t\t\t<i aria-hidden=\"true\" class=\"fas fa-user-friends\"><\/i>\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-682343bb elementor-widget elementor-widget-heading\" data-id=\"682343bb\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h4 class=\"elementor-heading-title elementor-size-default\">People<\/h4>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-41ea7e77 elementor-widget elementor-widget-text-editor\" data-id=\"41ea7e77\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<ul><li style=\"list-style-type: none\"><ul><li>Identify pockets of analysts and skills; offer analytical trainings.<\/li><li>Encourage early adopters to experiment with <a class=\"glossaryLink\"  aria-describedby=\"tt\"  data-cmtooltip=\"&lt;div class=glossaryItemTitle&gt;Analytics&lt;\/div&gt;&lt;div class=glossaryItemBody&gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW232749137 BCX0&amp;quot;&amp;gt;Statistical and mathematical analysis of data to cluster, segment, score, and predict what scenarios are most likely to happen (&amp;lt;\/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW232749137 BCX0&amp;quot;&amp;gt;e.g., &amp;lt;\/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW232749137 BCX0&amp;quot;&amp;gt;data\/text mining, visualization, cluster analysis, forecasting).&amp;lt;\/span&amp;gt;&lt;\/div&gt;\"  href=\"https:\/\/crp.trb.org\/acrpwebresource18\/glossary\/analytics\/\"  data-gt-translate-attributes='[{\"attribute\":\"data-cmtooltip\", \"format\":\"html\"}]' tabindex='0' role='link'>analytics<\/a> technologies.<\/li><li>Identify allies for small-scale <a class=\"glossaryLink\"  aria-describedby=\"tt\"  data-cmtooltip=\"&lt;div class=glossaryItemTitle&gt;Analytics&lt;\/div&gt;&lt;div class=glossaryItemBody&gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW232749137 BCX0&amp;quot;&amp;gt;Statistical and mathematical analysis of data to cluster, segment, score, and predict what scenarios are most likely to happen (&amp;lt;\/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW232749137 BCX0&amp;quot;&amp;gt;e.g., &amp;lt;\/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW232749137 BCX0&amp;quot;&amp;gt;data\/text mining, visualization, cluster analysis, forecasting).&amp;lt;\/span&amp;gt;&lt;\/div&gt;\"  href=\"https:\/\/crp.trb.org\/acrpwebresource18\/glossary\/analytics\/\"  data-gt-translate-attributes='[{\"attribute\":\"data-cmtooltip\", \"format\":\"html\"}]' tabindex='0' role='link'>analytics<\/a> projects with cross-functional potential.<\/li><\/ul><\/li><\/ul>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t<div class=\"elementor-column elementor-col-50 elementor-top-column elementor-element elementor-element-3bd59fa1\" data-id=\"3bd59fa1\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-de17414 elementor-view-default elementor-widget elementor-widget-icon\" data-id=\"de17414\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"icon.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<div class=\"elementor-icon-wrapper\">\n\t\t\t<div class=\"elementor-icon\">\n\t\t\t<i aria-hidden=\"true\" class=\"far fa-file-alt\"><\/i>\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-6a180308 elementor-widget elementor-widget-heading\" data-id=\"6a180308\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h4 class=\"elementor-heading-title elementor-size-default\">Processes<\/h4>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-303448d5 elementor-widget elementor-widget-text-editor\" data-id=\"303448d5\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<ul><li style=\"list-style-type: none\"><ul><li>Gather important local data sources into functional data marts.<\/li><li>Put important data into a <a class=\"glossaryLink\"  aria-describedby=\"tt\"  data-cmtooltip=\"&lt;div class=glossaryItemTitle&gt;Data Warehouse&lt;\/div&gt;&lt;div class=glossaryItemBody&gt;&amp;lt;span class=&amp;quot;TextRun SCXW102996774 BCX0&amp;quot; lang=&amp;quot;EN-US&amp;quot; xml:lang=&amp;quot;EN-US&amp;quot; data-contrast=&amp;quot;auto&amp;quot;&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW102996774 BCX0&amp;quot;&amp;gt;Storage architecture designed to hold data extracted from transaction systems, operational data stores, and external sources. Combines the data in an aggregate, summary form suitable for enterprise-wide data analysis and reporting for predefined business needs.&amp;lt;\/span&amp;gt;&amp;lt;\/span&amp;gt;&lt;\/div&gt;\"  href=\"https:\/\/crp.trb.org\/acrpwebresource18\/glossary\/data-warehouse\/\"  data-gt-translate-attributes='[{\"attribute\":\"data-cmtooltip\", \"format\":\"html\"}]' tabindex='0' role='link'>data warehouse<\/a> or <a class=\"glossaryLink\"  aria-describedby=\"tt\"  data-cmtooltip=\"&lt;div class=glossaryItemTitle&gt;Data Lake&lt;\/div&gt;&lt;div class=glossaryItemBody&gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW164549948 BCX0&amp;quot;&amp;gt;Collection of storage instances of various data assets that are stored in a near-exact (or exact) copy of the source format, in addition to the &amp;lt;\/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW164549948 BCX0&amp;quot;&amp;gt;originating&amp;lt;\/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW164549948 BCX0&amp;quot;&amp;gt; data stores.&amp;lt;\/span&amp;gt;&lt;\/div&gt;\"  href=\"https:\/\/crp.trb.org\/acrpwebresource18\/glossary\/data-lake\/\"  data-gt-translate-attributes='[{\"attribute\":\"data-cmtooltip\", \"format\":\"html\"}]' tabindex='0' role='link'>data lake<\/a>.<\/li><li>Move toward statistical significance analyses and range-based forecasts.<\/li><\/ul><\/li><\/ul>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-7312bed9 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"7312bed9\" data-element_type=\"section\" data-e-type=\"section\" data-settings='{\"background_background\":\"classic\"}'>\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-50 elementor-top-column elementor-element elementor-element-501d893a\" data-id=\"501d893a\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-6dedf600 elementor-view-default elementor-widget elementor-widget-icon\" data-id=\"6dedf600\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"icon.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<div class=\"elementor-icon-wrapper\">\n\t\t\t<div class=\"elementor-icon\">\n\t\t\t<i aria-hidden=\"true\" class=\"fas fa-tools\"><\/i>\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-5af73e1 elementor-widget elementor-widget-heading\" data-id=\"5af73e1\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h4 class=\"elementor-heading-title elementor-size-default\">Tools<\/h4>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-2bc54f4d elementor-widget elementor-widget-text-editor\" data-id=\"2bc54f4d\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<ul><li style=\"list-style-type: none\"><ul><li>Partner with IT on common tool selection and data standards.<\/li><li>Make visual <a class=\"glossaryLink\"  aria-describedby=\"tt\"  data-cmtooltip=\"&lt;div class=glossaryItemTitle&gt;Analytics&lt;\/div&gt;&lt;div class=glossaryItemBody&gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW232749137 BCX0&amp;quot;&amp;gt;Statistical and mathematical analysis of data to cluster, segment, score, and predict what scenarios are most likely to happen (&amp;lt;\/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW232749137 BCX0&amp;quot;&amp;gt;e.g., &amp;lt;\/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW232749137 BCX0&amp;quot;&amp;gt;data\/text mining, visualization, cluster analysis, forecasting).&amp;lt;\/span&amp;gt;&lt;\/div&gt;\"  href=\"https:\/\/crp.trb.org\/acrpwebresource18\/glossary\/analytics\/\"  data-gt-translate-attributes='[{\"attribute\":\"data-cmtooltip\", \"format\":\"html\"}]' tabindex='0' role='link'>analytics<\/a> tools available; adopt <a class=\"glossaryLink\"  aria-describedby=\"tt\"  data-cmtooltip=\"&lt;div class=glossaryItemTitle&gt;Predictive Analytics&lt;\/div&gt;&lt;div class=glossaryItemBody&gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW180822467 BCX0&amp;quot;&amp;gt;Advanced analytics procedures or techniques for analyzing content or data to predict characteristics of target variables based on relevant features or attributes of the data (e.g., predictive modeling, regression analysis, multivariate statistics, forecasting, and classification)&amp;lt;\/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW180822467 BCX0&amp;quot;&amp;gt;.&nbsp;&amp;lt;\/span&amp;gt;&lt;\/div&gt;\"  href=\"https:\/\/crp.trb.org\/acrpwebresource18\/glossary\/predictive-analytics\/\"  data-gt-translate-attributes='[{\"attribute\":\"data-cmtooltip\", \"format\":\"html\"}]' tabindex='0' role='link'>predictive analytics<\/a> tools.<\/li><li>Explore optimization, web <a class=\"glossaryLink\"  aria-describedby=\"tt\"  data-cmtooltip=\"&lt;div class=glossaryItemTitle&gt;Analytics&lt;\/div&gt;&lt;div class=glossaryItemBody&gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW232749137 BCX0&amp;quot;&amp;gt;Statistical and mathematical analysis of data to cluster, segment, score, and predict what scenarios are most likely to happen (&amp;lt;\/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW232749137 BCX0&amp;quot;&amp;gt;e.g., &amp;lt;\/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW232749137 BCX0&amp;quot;&amp;gt;data\/text mining, visualization, cluster analysis, forecasting).&amp;lt;\/span&amp;gt;&lt;\/div&gt;\"  href=\"https:\/\/crp.trb.org\/acrpwebresource18\/glossary\/analytics\/\"  data-gt-translate-attributes='[{\"attribute\":\"data-cmtooltip\", \"format\":\"html\"}]' tabindex='0' role='link'>analytics<\/a>, and other special-purpose tools.<\/li><\/ul><\/li><\/ul>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t<div class=\"elementor-column elementor-col-50 elementor-top-column elementor-element elementor-element-2a7cdbdc\" data-id=\"2a7cdbdc\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-64766761 elementor-view-default elementor-widget elementor-widget-icon\" data-id=\"64766761\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"icon.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<div class=\"elementor-icon-wrapper\">\n\t\t\t<div class=\"elementor-icon\">\n\t\t\t<i aria-hidden=\"true\" class=\"fas fa-folder-open\"><\/i>\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-78fbb413 elementor-widget elementor-widget-heading\" data-id=\"78fbb413\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h4 class=\"elementor-heading-title elementor-size-default\">Organization<\/h4>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-11e76f42 elementor-widget elementor-widget-text-editor\" data-id=\"11e76f42\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<ul><li style=\"list-style-type: none\"><ul><li>Encourage analytical leaders in functional airport divisions and business units.<\/li><li>Manage data risks at the local level, across airport divisions.<\/li><li>Encourage some airport divisions to adopt predictive models.<\/li><\/ul><\/li><\/ul>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-218f9d2d elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"218f9d2d\" data-element_type=\"section\" data-e-type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-1e0ef739\" data-id=\"1e0ef739\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-6a5a4ba7 elementor-widget elementor-widget-spacer\" data-id=\"6a5a4ba7\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"spacer.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<div class=\"elementor-spacer\">\n\t\t\t<div class=\"elementor-spacer-inner\"><\/div>\n\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-3fc12256 elementor-widget elementor-widget-heading\" data-id=\"3fc12256\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h3 class=\"elementor-heading-title elementor-size-medium\">Transition from Localized Analytics (Stage 2) to Analytical Aspirations (Stage 3)<\/h3>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-69a588c9 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"69a588c9\" data-element_type=\"section\" data-e-type=\"section\" data-settings='{\"background_background\":\"classic\"}'>\n\t\t\t\t\t\t\t<div class=\"elementor-background-overlay\"><\/div>\n\t\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-50 elementor-top-column elementor-element elementor-element-62ef327e\" data-id=\"62ef327e\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-2b2cf47c elementor-view-default elementor-widget elementor-widget-icon\" data-id=\"2b2cf47c\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"icon.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<div class=\"elementor-icon-wrapper\">\n\t\t\t<div class=\"elementor-icon\">\n\t\t\t<i aria-hidden=\"true\" class=\"fas fa-user-friends\"><\/i>\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-1c7155 elementor-widget elementor-widget-heading\" data-id=\"1c7155\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h4 class=\"elementor-heading-title elementor-size-default\">People<\/h4>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-22aeaab8 elementor-widget elementor-widget-text-editor\" data-id=\"22aeaab8\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<ul><li style=\"list-style-type: none\"><ul><li>Define analytical positions and use specialty recruiting.<\/li><li>Build consensus around analytical targets and data needs.<\/li><li>Ensure a central <a class=\"glossaryLink\"  aria-describedby=\"tt\"  data-cmtooltip=\"&lt;div class=glossaryItemTitle&gt;Analytics&lt;\/div&gt;&lt;div class=glossaryItemBody&gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW232749137 BCX0&amp;quot;&amp;gt;Statistical and mathematical analysis of data to cluster, segment, score, and predict what scenarios are most likely to happen (&amp;lt;\/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW232749137 BCX0&amp;quot;&amp;gt;e.g., &amp;lt;\/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW232749137 BCX0&amp;quot;&amp;gt;data\/text mining, visualization, cluster analysis, forecasting).&amp;lt;\/span&amp;gt;&lt;\/div&gt;\"  href=\"https:\/\/crp.trb.org\/acrpwebresource18\/glossary\/analytics\/\"  data-gt-translate-attributes='[{\"attribute\":\"data-cmtooltip\", \"format\":\"html\"}]' tabindex='0' role='link'>analytics<\/a> team is well-trained in predictive and <a class=\"glossaryLink\"  aria-describedby=\"tt\"  data-cmtooltip=\"&lt;div class=glossaryItemTitle&gt;Prescriptive Analytics&lt;\/div&gt;&lt;div class=glossaryItemBody&gt;&amp;lt;span class=&amp;quot;TextRun SCXW87192359 BCX0&amp;quot; lang=&amp;quot;EN-US&amp;quot; xml:lang=&amp;quot;EN-US&amp;quot; data-contrast=&amp;quot;auto&amp;quot;&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW87192359 BCX0&amp;quot;&amp;gt;Tools, procedures, and techniques for analyzing relationships among variables in order to prescribe a course of action (e.g., heuristics, recommender algorithms, graph analysis).&amp;lt;\/span&amp;gt;&amp;lt;\/span&amp;gt;&lt;\/div&gt;\"  href=\"https:\/\/crp.trb.org\/acrpwebresource18\/glossary\/prescriptive-analytics\/\"  data-gt-translate-attributes='[{\"attribute\":\"data-cmtooltip\", \"format\":\"html\"}]' tabindex='0' role='link'>prescriptive analytics<\/a>.<\/li><\/ul><\/li><\/ul>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t<div class=\"elementor-column elementor-col-50 elementor-top-column elementor-element elementor-element-181c215f\" data-id=\"181c215f\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-411a3947 elementor-view-default elementor-widget elementor-widget-icon\" data-id=\"411a3947\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"icon.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<div class=\"elementor-icon-wrapper\">\n\t\t\t<div class=\"elementor-icon\">\n\t\t\t<i aria-hidden=\"true\" class=\"far fa-file-alt\"><\/i>\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-668be26f elementor-widget elementor-widget-heading\" data-id=\"668be26f\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h4 class=\"elementor-heading-title elementor-size-default\">Processes<\/h4>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-66b7d7ab elementor-widget elementor-widget-text-editor\" data-id=\"66b7d7ab\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<ul><li style=\"list-style-type: none\"><ul><li>Take systematic inventory of analytical opportunities by business area.<\/li><li>Select applications for business problems with high analytical potential.<\/li><li>Establish standards for data privacy and security.<\/li><\/ul><\/li><\/ul>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-3f306097 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"3f306097\" data-element_type=\"section\" data-e-type=\"section\" data-settings='{\"background_background\":\"classic\"}'>\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-50 elementor-top-column elementor-element elementor-element-544523f9\" data-id=\"544523f9\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-352b04f1 elementor-view-default elementor-widget elementor-widget-icon\" data-id=\"352b04f1\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"icon.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<div class=\"elementor-icon-wrapper\">\n\t\t\t<div class=\"elementor-icon\">\n\t\t\t<i aria-hidden=\"true\" class=\"fas fa-tools\"><\/i>\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-22db4f42 elementor-widget elementor-widget-heading\" data-id=\"22db4f42\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h4 class=\"elementor-heading-title elementor-size-default\">Tools<\/h4>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-553b9803 elementor-widget elementor-widget-text-editor\" data-id=\"553b9803\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<ul><li style=\"list-style-type: none\"><ul><li>Identify a suite of <a class=\"glossaryLink\"  aria-describedby=\"tt\"  data-cmtooltip=\"&lt;div class=glossaryItemTitle&gt;Analytics&lt;\/div&gt;&lt;div class=glossaryItemBody&gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW232749137 BCX0&amp;quot;&amp;gt;Statistical and mathematical analysis of data to cluster, segment, score, and predict what scenarios are most likely to happen (&amp;lt;\/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW232749137 BCX0&amp;quot;&amp;gt;e.g., &amp;lt;\/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW232749137 BCX0&amp;quot;&amp;gt;data\/text mining, visualization, cluster analysis, forecasting).&amp;lt;\/span&amp;gt;&lt;\/div&gt;\"  href=\"https:\/\/crp.trb.org\/acrpwebresource18\/glossary\/analytics\/\"  data-gt-translate-attributes='[{\"attribute\":\"data-cmtooltip\", \"format\":\"html\"}]' tabindex='0' role='link'>analytics<\/a> tools for use throughout the enterprise.<\/li><li>Experiment with cloud-based <a class=\"glossaryLink\"  aria-describedby=\"tt\"  data-cmtooltip=\"&lt;div class=glossaryItemTitle&gt;Analytics&lt;\/div&gt;&lt;div class=glossaryItemBody&gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW232749137 BCX0&amp;quot;&amp;gt;Statistical and mathematical analysis of data to cluster, segment, score, and predict what scenarios are most likely to happen (&amp;lt;\/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW232749137 BCX0&amp;quot;&amp;gt;e.g., &amp;lt;\/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW232749137 BCX0&amp;quot;&amp;gt;data\/text mining, visualization, cluster analysis, forecasting).&amp;lt;\/span&amp;gt;&lt;\/div&gt;\"  href=\"https:\/\/crp.trb.org\/acrpwebresource18\/glossary\/analytics\/\"  data-gt-translate-attributes='[{\"attribute\":\"data-cmtooltip\", \"format\":\"html\"}]' tabindex='0' role='link'>analytics<\/a>, data management, and <a class=\"glossaryLink\"  aria-describedby=\"tt\"  data-cmtooltip=\"&lt;div class=glossaryItemTitle&gt;Big Data&lt;\/div&gt;&lt;div class=glossaryItemBody&gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW195689114 BCX0&amp;quot;&amp;gt;High volume, high velocity&amp;lt;\/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW195689114 BCX0&amp;quot;&amp;gt;,&amp;lt;\/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW195689114 BCX0&amp;quot;&amp;gt; and high variety information assets that require cost-effective, innovative forms of information processing to &amp;lt;\/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW195689114 BCX0&amp;quot;&amp;gt;identify&amp;lt;\/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW195689114 BCX0&amp;quot;&amp;gt; insights and inform decision-making.&amp;lt;\/span&amp;gt;&lt;\/div&gt;\"  href=\"https:\/\/crp.trb.org\/acrpwebresource18\/glossary\/big-data\/\"  data-gt-translate-attributes='[{\"attribute\":\"data-cmtooltip\", \"format\":\"html\"}]' tabindex='0' role='link'>big data<\/a> applications.<\/li><li>Experiment with statistical ML; explore text and <a class=\"glossaryLink\"  aria-describedby=\"tt\"  data-cmtooltip=\"&lt;div class=glossaryItemTitle&gt;Sentiment Analysis&lt;\/div&gt;&lt;div class=glossaryItemBody&gt;&amp;lt;span class=&amp;quot;TextRun SCXW238648406 BCX0&amp;quot; lang=&amp;quot;EN-US&amp;quot; xml:lang=&amp;quot;EN-US&amp;quot; data-contrast=&amp;quot;auto&amp;quot;&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW238648406 BCX0&amp;quot;&amp;gt;Analysis procedure for &amp;lt;\/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW238648406 BCX0&amp;quot;&amp;gt;determining&amp;lt;\/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW238648406 BCX0&amp;quot;&amp;gt; whether text is positive, negative&amp;lt;\/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW238648406 BCX0&amp;quot;&amp;gt;,&amp;lt;\/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW238648406 BCX0&amp;quot;&amp;gt; or neutral&amp;lt;\/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW238648406 BCX0&amp;quot;&amp;gt;.&amp;lt;\/span&amp;gt;&amp;lt;\/span&amp;gt;&amp;lt;span class=&amp;quot;TextRun SCXW238648406 BCX0&amp;quot; lang=&amp;quot;EN-US&amp;quot; xml:lang=&amp;quot;EN-US&amp;quot; data-contrast=&amp;quot;auto&amp;quot;&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW238648406 BCX0&amp;quot;&amp;gt;&nbsp;&nbsp;&amp;lt;\/span&amp;gt;&amp;lt;\/span&amp;gt;&lt;\/div&gt;\"  href=\"https:\/\/crp.trb.org\/acrpwebresource18\/glossary\/sentiment-analysis\/\"  data-gt-translate-attributes='[{\"attribute\":\"data-cmtooltip\", \"format\":\"html\"}]' tabindex='0' role='link'>sentiment analysis<\/a>.<\/li><\/ul><\/li><\/ul>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t<div class=\"elementor-column elementor-col-50 elementor-top-column elementor-element elementor-element-8e6be3a\" data-id=\"8e6be3a\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-12a267 elementor-view-default elementor-widget elementor-widget-icon\" data-id=\"12a267\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"icon.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<div class=\"elementor-icon-wrapper\">\n\t\t\t<div class=\"elementor-icon\">\n\t\t\t<i aria-hidden=\"true\" class=\"fas fa-folder-open\"><\/i>\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-1a261296 elementor-widget elementor-widget-heading\" data-id=\"1a261296\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h4 class=\"elementor-heading-title elementor-size-default\">Organization<\/h4>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-19b3986f elementor-widget elementor-widget-text-editor\" data-id=\"19b3986f\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<ul><li style=\"list-style-type: none\"><ul><li>Plan the groundwork for enterprise <a class=\"glossaryLink\"  aria-describedby=\"tt\"  data-cmtooltip=\"&lt;div class=glossaryItemTitle&gt;Analytics&lt;\/div&gt;&lt;div class=glossaryItemBody&gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW232749137 BCX0&amp;quot;&amp;gt;Statistical and mathematical analysis of data to cluster, segment, score, and predict what scenarios are most likely to happen (&amp;lt;\/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW232749137 BCX0&amp;quot;&amp;gt;e.g., &amp;lt;\/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW232749137 BCX0&amp;quot;&amp;gt;data\/text mining, visualization, cluster analysis, forecasting).&amp;lt;\/span&amp;gt;&lt;\/div&gt;\"  href=\"https:\/\/crp.trb.org\/acrpwebresource18\/glossary\/analytics\/\"  data-gt-translate-attributes='[{\"attribute\":\"data-cmtooltip\", \"format\":\"html\"}]' tabindex='0' role='link'>analytics<\/a> strategy and priorities.<\/li><li>Begin building enterprise analytical infrastructure incrementally.<\/li><li>Motivate and reward cross-functional data contributions and management.<\/li><\/ul><\/li><\/ul>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-597efdaf elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"597efdaf\" data-element_type=\"section\" data-e-type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-703c28a3\" data-id=\"703c28a3\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-6145746f elementor-widget elementor-widget-spacer\" data-id=\"6145746f\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"spacer.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<div class=\"elementor-spacer\">\n\t\t\t<div class=\"elementor-spacer-inner\"><\/div>\n\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-3fd5185c elementor-widget elementor-widget-heading\" data-id=\"3fd5185c\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h3 class=\"elementor-heading-title elementor-size-medium\">Transition from Analytical Aspirations (Stage 3) to Analytical Organizations (Stage 4)<\/h3>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-51645d42 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"51645d42\" data-element_type=\"section\" data-e-type=\"section\" data-settings='{\"background_background\":\"classic\"}'>\n\t\t\t\t\t\t\t<div class=\"elementor-background-overlay\"><\/div>\n\t\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-50 elementor-top-column elementor-element elementor-element-5e395ed3\" data-id=\"5e395ed3\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-31d38278 elementor-view-default elementor-widget elementor-widget-icon\" data-id=\"31d38278\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"icon.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<div class=\"elementor-icon-wrapper\">\n\t\t\t<div class=\"elementor-icon\">\n\t\t\t<i aria-hidden=\"true\" class=\"fas fa-user-friends\"><\/i>\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-974077a elementor-widget elementor-widget-heading\" data-id=\"974077a\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h4 class=\"elementor-heading-title elementor-size-default\">People<\/h4>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-5c2c707d elementor-widget elementor-widget-text-editor\" data-id=\"5c2c707d\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<ul><li style=\"list-style-type: none\"><ul><li>Establish a central <a class=\"glossaryLink\"  aria-describedby=\"tt\"  data-cmtooltip=\"&lt;div class=glossaryItemTitle&gt;Analytics&lt;\/div&gt;&lt;div class=glossaryItemBody&gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW232749137 BCX0&amp;quot;&amp;gt;Statistical and mathematical analysis of data to cluster, segment, score, and predict what scenarios are most likely to happen (&amp;lt;\/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW232749137 BCX0&amp;quot;&amp;gt;e.g., &amp;lt;\/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW232749137 BCX0&amp;quot;&amp;gt;data\/text mining, visualization, cluster analysis, forecasting).&amp;lt;\/span&amp;gt;&lt;\/div&gt;\"  href=\"https:\/\/crp.trb.org\/acrpwebresource18\/glossary\/analytics\/\"  data-gt-translate-attributes='[{\"attribute\":\"data-cmtooltip\", \"format\":\"html\"}]' tabindex='0' role='link'>analytics<\/a> function to support local <a class=\"glossaryLink\"  aria-describedby=\"tt\"  data-cmtooltip=\"&lt;div class=glossaryItemTitle&gt;Analytics&lt;\/div&gt;&lt;div class=glossaryItemBody&gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW232749137 BCX0&amp;quot;&amp;gt;Statistical and mathematical analysis of data to cluster, segment, score, and predict what scenarios are most likely to happen (&amp;lt;\/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW232749137 BCX0&amp;quot;&amp;gt;e.g., &amp;lt;\/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW232749137 BCX0&amp;quot;&amp;gt;data\/text mining, visualization, cluster analysis, forecasting).&amp;lt;\/span&amp;gt;&lt;\/div&gt;\"  href=\"https:\/\/crp.trb.org\/acrpwebresource18\/glossary\/analytics\/\"  data-gt-translate-attributes='[{\"attribute\":\"data-cmtooltip\", \"format\":\"html\"}]' tabindex='0' role='link'>analytics<\/a> applications.<\/li><li>Initiate collaboration among business leaders, IT, and <a class=\"glossaryLink\"  aria-describedby=\"tt\"  data-cmtooltip=\"&lt;div class=glossaryItemTitle&gt;Analytics&lt;\/div&gt;&lt;div class=glossaryItemBody&gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW232749137 BCX0&amp;quot;&amp;gt;Statistical and mathematical analysis of data to cluster, segment, score, and predict what scenarios are most likely to happen (&amp;lt;\/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW232749137 BCX0&amp;quot;&amp;gt;e.g., &amp;lt;\/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW232749137 BCX0&amp;quot;&amp;gt;data\/text mining, visualization, cluster analysis, forecasting).&amp;lt;\/span&amp;gt;&lt;\/div&gt;\"  href=\"https:\/\/crp.trb.org\/acrpwebresource18\/glossary\/analytics\/\"  data-gt-translate-attributes='[{\"attribute\":\"data-cmtooltip\", \"format\":\"html\"}]' tabindex='0' role='link'>analytics<\/a> professionals.<\/li><li>Provide training to develop business acumen in analysts and <a class=\"glossaryLink\"  aria-describedby=\"tt\"  data-cmtooltip=\"&lt;div class=glossaryItemTitle&gt;Analytics&lt;\/div&gt;&lt;div class=glossaryItemBody&gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW232749137 BCX0&amp;quot;&amp;gt;Statistical and mathematical analysis of data to cluster, segment, score, and predict what scenarios are most likely to happen (&amp;lt;\/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW232749137 BCX0&amp;quot;&amp;gt;e.g., &amp;lt;\/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW232749137 BCX0&amp;quot;&amp;gt;data\/text mining, visualization, cluster analysis, forecasting).&amp;lt;\/span&amp;gt;&lt;\/div&gt;\"  href=\"https:\/\/crp.trb.org\/acrpwebresource18\/glossary\/analytics\/\"  data-gt-translate-attributes='[{\"attribute\":\"data-cmtooltip\", \"format\":\"html\"}]' tabindex='0' role='link'>analytics<\/a> skills for executives.<\/li><\/ul><\/li><\/ul>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t<div class=\"elementor-column elementor-col-50 elementor-top-column elementor-element elementor-element-1e3d174\" data-id=\"1e3d174\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-3de99d1a elementor-view-default elementor-widget elementor-widget-icon\" data-id=\"3de99d1a\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"icon.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<div class=\"elementor-icon-wrapper\">\n\t\t\t<div class=\"elementor-icon\">\n\t\t\t<i aria-hidden=\"true\" class=\"far fa-file-alt\"><\/i>\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-33ced20b elementor-widget elementor-widget-heading\" data-id=\"33ced20b\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h4 class=\"elementor-heading-title elementor-size-default\">Processes<\/h4>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-2634473c elementor-widget elementor-widget-text-editor\" data-id=\"2634473c\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<ul><li style=\"list-style-type: none\"><ul><li>Work with high value, high impact business processes and their owners.<\/li><li>Deploy a combined mix of analytic models using commercial and open-source tools.<\/li><li>Conduct risk assessment for all analytical applications.<\/li><\/ul><\/li><\/ul>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-27998423 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"27998423\" data-element_type=\"section\" data-e-type=\"section\" data-settings='{\"background_background\":\"classic\"}'>\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-50 elementor-top-column elementor-element elementor-element-6a4fe01a\" data-id=\"6a4fe01a\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-48013c67 elementor-view-default elementor-widget elementor-widget-icon\" data-id=\"48013c67\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"icon.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<div class=\"elementor-icon-wrapper\">\n\t\t\t<div class=\"elementor-icon\">\n\t\t\t<i aria-hidden=\"true\" class=\"fas fa-tools\"><\/i>\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-1ac684e4 elementor-widget elementor-widget-heading\" data-id=\"1ac684e4\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h4 class=\"elementor-heading-title elementor-size-default\">Tools<\/h4>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-35f663c5 elementor-widget elementor-widget-text-editor\" data-id=\"35f663c5\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<ul><li style=\"list-style-type: none\"><ul><li>Integrate internal and external resources in cloud-based data warehouses or data lakes.<\/li><li>Implement self-service data platforms for extracting data and conducting <a class=\"glossaryLink\"  aria-describedby=\"tt\"  data-cmtooltip=\"&lt;div class=glossaryItemTitle&gt;Analytics&lt;\/div&gt;&lt;div class=glossaryItemBody&gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW232749137 BCX0&amp;quot;&amp;gt;Statistical and mathematical analysis of data to cluster, segment, score, and predict what scenarios are most likely to happen (&amp;lt;\/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW232749137 BCX0&amp;quot;&amp;gt;e.g., &amp;lt;\/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW232749137 BCX0&amp;quot;&amp;gt;data\/text mining, visualization, cluster analysis, forecasting).&amp;lt;\/span&amp;gt;&lt;\/div&gt;\"  href=\"https:\/\/crp.trb.org\/acrpwebresource18\/glossary\/analytics\/\"  data-gt-translate-attributes='[{\"attribute\":\"data-cmtooltip\", \"format\":\"html\"}]' tabindex='0' role='link'>analytics<\/a>.<\/li><li>Develop ML applications; explore deep learning and AI models.<\/li><\/ul><\/li><\/ul>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t<div class=\"elementor-column elementor-col-50 elementor-top-column elementor-element elementor-element-2fe0b340\" data-id=\"2fe0b340\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-7109925e elementor-view-default elementor-widget elementor-widget-icon\" data-id=\"7109925e\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"icon.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<div class=\"elementor-icon-wrapper\">\n\t\t\t<div class=\"elementor-icon\">\n\t\t\t<i aria-hidden=\"true\" class=\"fas fa-folder-open\"><\/i>\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-611d4034 elementor-widget elementor-widget-heading\" data-id=\"611d4034\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h4 class=\"elementor-heading-title elementor-size-default\">Organization<\/h4>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-5fbe44e elementor-widget elementor-widget-text-editor\" data-id=\"5fbe44e\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<ul><li style=\"list-style-type: none\"><ul><li>Develop and implement <a class=\"glossaryLink\"  aria-describedby=\"tt\"  data-cmtooltip=\"&lt;div class=glossaryItemTitle&gt;Analytics&lt;\/div&gt;&lt;div class=glossaryItemBody&gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW232749137 BCX0&amp;quot;&amp;gt;Statistical and mathematical analysis of data to cluster, segment, score, and predict what scenarios are most likely to happen (&amp;lt;\/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW232749137 BCX0&amp;quot;&amp;gt;e.g., &amp;lt;\/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW232749137 BCX0&amp;quot;&amp;gt;data\/text mining, visualization, cluster analysis, forecasting).&amp;lt;\/span&amp;gt;&lt;\/div&gt;\"  href=\"https:\/\/crp.trb.org\/acrpwebresource18\/glossary\/analytics\/\"  data-gt-translate-attributes='[{\"attribute\":\"data-cmtooltip\", \"format\":\"html\"}]' tabindex='0' role='link'>analytics<\/a> IT roadmap for the entire enterprise.<\/li><li>Engage senior leaders in building <a class=\"glossaryLink\"  aria-describedby=\"tt\"  data-cmtooltip=\"&lt;div class=glossaryItemTitle&gt;Analytics&lt;\/div&gt;&lt;div class=glossaryItemBody&gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW232749137 BCX0&amp;quot;&amp;gt;Statistical and mathematical analysis of data to cluster, segment, score, and predict what scenarios are most likely to happen (&amp;lt;\/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW232749137 BCX0&amp;quot;&amp;gt;e.g., &amp;lt;\/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW232749137 BCX0&amp;quot;&amp;gt;data\/text mining, visualization, cluster analysis, forecasting).&amp;lt;\/span&amp;gt;&lt;\/div&gt;\"  href=\"https:\/\/crp.trb.org\/acrpwebresource18\/glossary\/analytics\/\"  data-gt-translate-attributes='[{\"attribute\":\"data-cmtooltip\", \"format\":\"html\"}]' tabindex='0' role='link'>analytics<\/a> capabilities: data, technology, human capital.<\/li><li>Establish enterprise governance of technology and <a class=\"glossaryLink\"  aria-describedby=\"tt\"  data-cmtooltip=\"&lt;div class=glossaryItemTitle&gt;Architecture&lt;\/div&gt;&lt;div class=glossaryItemBody&gt;In reference to computers, software, or networks, the overall design of the computing system and the logical and physical interrelationships between its components. The architecture specifies the hardware, software, and access methods and protocols used throughout the system.&lt;\/div&gt;\"  href=\"https:\/\/crp.trb.org\/acrpwebresource18\/glossary\/architecture\/\"  data-gt-translate-attributes='[{\"attribute\":\"data-cmtooltip\", \"format\":\"html\"}]' tabindex='0' role='link'>architecture<\/a> for <a class=\"glossaryLink\"  aria-describedby=\"tt\"  data-cmtooltip=\"&lt;div class=glossaryItemTitle&gt;Analytics&lt;\/div&gt;&lt;div class=glossaryItemBody&gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW232749137 BCX0&amp;quot;&amp;gt;Statistical and mathematical analysis of data to cluster, segment, score, and predict what scenarios are most likely to happen (&amp;lt;\/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW232749137 BCX0&amp;quot;&amp;gt;e.g., &amp;lt;\/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW232749137 BCX0&amp;quot;&amp;gt;data\/text mining, visualization, cluster analysis, forecasting).&amp;lt;\/span&amp;gt;&lt;\/div&gt;\"  href=\"https:\/\/crp.trb.org\/acrpwebresource18\/glossary\/analytics\/\"  data-gt-translate-attributes='[{\"attribute\":\"data-cmtooltip\", \"format\":\"html\"}]' tabindex='0' role='link'>analytics<\/a>.<\/li><\/ul><\/li><\/ul>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-22e3620 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"22e3620\" data-element_type=\"section\" data-e-type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-7b992712\" data-id=\"7b992712\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-6bafc1af elementor-widget elementor-widget-spacer\" data-id=\"6bafc1af\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"spacer.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<div class=\"elementor-spacer\">\n\t\t\t<div class=\"elementor-spacer-inner\"><\/div>\n\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-3f2a8f13 elementor-widget elementor-widget-heading\" data-id=\"3f2a8f13\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h3 class=\"elementor-heading-title elementor-size-medium\">Transition from Analytical Organizations (Stage 4) to Analytical Competitors (Stage 5)<\/h3>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-6d9515f4 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"6d9515f4\" data-element_type=\"section\" data-e-type=\"section\" data-settings='{\"background_background\":\"classic\"}'>\n\t\t\t\t\t\t\t<div class=\"elementor-background-overlay\"><\/div>\n\t\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-50 elementor-top-column elementor-element elementor-element-694db549\" data-id=\"694db549\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-6b21f387 elementor-view-default elementor-widget elementor-widget-icon\" data-id=\"6b21f387\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"icon.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<div class=\"elementor-icon-wrapper\">\n\t\t\t<div class=\"elementor-icon\">\n\t\t\t<i aria-hidden=\"true\" class=\"fas fa-user-friends\"><\/i>\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-5dc84e30 elementor-widget elementor-widget-heading\" data-id=\"5dc84e30\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h4 class=\"elementor-heading-title elementor-size-default\">People<\/h4>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-407ee5d elementor-widget elementor-widget-text-editor\" data-id=\"407ee5d\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<ul>\n<li style=\"list-style-type: none\">\n<ul>\n<li>Hire analytically minded employees in all business roles.<\/li>\n<li>Engage analysts and end-users to coordinate <a class=\"glossaryLink\"  aria-describedby=\"tt\"  data-cmtooltip=\"&lt;div class=glossaryItemTitle&gt;Analytics&lt;\/div&gt;&lt;div class=glossaryItemBody&gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW232749137 BCX0&amp;quot;&amp;gt;Statistical and mathematical analysis of data to cluster, segment, score, and predict what scenarios are most likely to happen (&amp;lt;\/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW232749137 BCX0&amp;quot;&amp;gt;e.g., &amp;lt;\/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW232749137 BCX0&amp;quot;&amp;gt;data\/text mining, visualization, cluster analysis, forecasting).&amp;lt;\/span&amp;gt;&lt;\/div&gt;\"  href=\"https:\/\/crp.trb.org\/acrpwebresource18\/glossary\/analytics\/\"  data-gt-translate-attributes='[{\"attribute\":\"data-cmtooltip\", \"format\":\"html\"}]' tabindex='0' role='link'>analytics<\/a> initiatives and objectives.<\/li>\n<li>Communicate with key stakeholders about how <a class=\"glossaryLink\"  aria-describedby=\"tt\"  data-cmtooltip=\"&lt;div class=glossaryItemTitle&gt;Analytics&lt;\/div&gt;&lt;div class=glossaryItemBody&gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW232749137 BCX0&amp;quot;&amp;gt;Statistical and mathematical analysis of data to cluster, segment, score, and predict what scenarios are most likely to happen (&amp;lt;\/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW232749137 BCX0&amp;quot;&amp;gt;e.g., &amp;lt;\/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW232749137 BCX0&amp;quot;&amp;gt;data\/text mining, visualization, cluster analysis, forecasting).&amp;lt;\/span&amp;gt;&lt;\/div&gt;\"  href=\"https:\/\/crp.trb.org\/acrpwebresource18\/glossary\/analytics\/\"  data-gt-translate-attributes='[{\"attribute\":\"data-cmtooltip\", \"format\":\"html\"}]' tabindex='0' role='link'>analytics<\/a> contributes to success.<\/li>\n<\/ul>\n<\/li>\n<\/ul>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t<div class=\"elementor-column elementor-col-50 elementor-top-column elementor-element elementor-element-178355c7\" data-id=\"178355c7\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-493eaaa4 elementor-view-default elementor-widget elementor-widget-icon\" data-id=\"493eaaa4\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"icon.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<div class=\"elementor-icon-wrapper\">\n\t\t\t<div class=\"elementor-icon\">\n\t\t\t<i aria-hidden=\"true\" class=\"far fa-file-alt\"><\/i>\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-4c144043 elementor-widget elementor-widget-heading\" data-id=\"4c144043\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h4 class=\"elementor-heading-title elementor-size-default\">Processes<\/h4>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-40795bb8 elementor-widget elementor-widget-text-editor\" data-id=\"40795bb8\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<ul><li style=\"list-style-type: none\"><ul><li>Establish strong data management, governance, and stewardship.<\/li><li>Focus on strategic initiatives that add business value and build <a class=\"glossaryLink\"  aria-describedby=\"tt\"  data-cmtooltip=\"&lt;div class=glossaryItemTitle&gt;Analytics&lt;\/div&gt;&lt;div class=glossaryItemBody&gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW232749137 BCX0&amp;quot;&amp;gt;Statistical and mathematical analysis of data to cluster, segment, score, and predict what scenarios are most likely to happen (&amp;lt;\/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW232749137 BCX0&amp;quot;&amp;gt;e.g., &amp;lt;\/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW232749137 BCX0&amp;quot;&amp;gt;data\/text mining, visualization, cluster analysis, forecasting).&amp;lt;\/span&amp;gt;&lt;\/div&gt;\"  href=\"https:\/\/crp.trb.org\/acrpwebresource18\/glossary\/analytics\/\"  data-gt-translate-attributes='[{\"attribute\":\"data-cmtooltip\", \"format\":\"html\"}]' tabindex='0' role='link'>analytics<\/a> capabilities.<\/li><li>Build distinctive <a class=\"glossaryLink\"  aria-describedby=\"tt\"  data-cmtooltip=\"&lt;div class=glossaryItemTitle&gt;Analytics&lt;\/div&gt;&lt;div class=glossaryItemBody&gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW232749137 BCX0&amp;quot;&amp;gt;Statistical and mathematical analysis of data to cluster, segment, score, and predict what scenarios are most likely to happen (&amp;lt;\/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW232749137 BCX0&amp;quot;&amp;gt;e.g., &amp;lt;\/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW232749137 BCX0&amp;quot;&amp;gt;data\/text mining, visualization, cluster analysis, forecasting).&amp;lt;\/span&amp;gt;&lt;\/div&gt;\"  href=\"https:\/\/crp.trb.org\/acrpwebresource18\/glossary\/analytics\/\"  data-gt-translate-attributes='[{\"attribute\":\"data-cmtooltip\", \"format\":\"html\"}]' tabindex='0' role='link'>analytics<\/a> capabilities that will enhance competitive differentiation.<\/li><\/ul><\/li><\/ul>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-1c5da1e5 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"1c5da1e5\" data-element_type=\"section\" data-e-type=\"section\" data-settings='{\"background_background\":\"classic\"}'>\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-50 elementor-top-column elementor-element elementor-element-595acf7d\" data-id=\"595acf7d\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-1982bc5f elementor-view-default elementor-widget elementor-widget-icon\" data-id=\"1982bc5f\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"icon.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<div class=\"elementor-icon-wrapper\">\n\t\t\t<div class=\"elementor-icon\">\n\t\t\t<i aria-hidden=\"true\" class=\"fas fa-tools\"><\/i>\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-175fa31c elementor-widget elementor-widget-heading\" data-id=\"175fa31c\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h4 class=\"elementor-heading-title elementor-size-default\">Tools<\/h4>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-3aaafc6e elementor-widget elementor-widget-text-editor\" data-id=\"3aaafc6e\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<ul><li style=\"list-style-type: none\"><ul><li>Move <a class=\"glossaryLink\"  aria-describedby=\"tt\"  data-cmtooltip=\"&lt;div class=glossaryItemTitle&gt;Big Data Analytics&lt;\/div&gt;&lt;div class=glossaryItemBody&gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW104606164 BCX0&amp;quot;&amp;gt;Set of procedures, tools, and techniques for analyzing &amp;lt;\/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW104606164 BCX0&amp;quot;&amp;gt;very large&amp;lt;\/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW104606164 BCX0&amp;quot;&amp;gt; datasets to enable enhanced insight, decision-making, and process automation for high value&amp;lt;\/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW104606164 BCX0&amp;quot;&amp;gt; and&amp;lt;\/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW104606164 BCX0&amp;quot;&amp;gt; high veracity.&amp;lt;\/span&amp;gt;&lt;\/div&gt;\"  href=\"https:\/\/crp.trb.org\/acrpwebresource18\/glossary\/big-data-analytics\/\"  data-gt-translate-attributes='[{\"attribute\":\"data-cmtooltip\", \"format\":\"html\"}]' tabindex='0' role='link'>big data analytics<\/a> to cloud-based platforms.<\/li><li>Deploy automated ML and ensemble models using open-source tools.<\/li><li>Explore the use of deep learning neural networks and AI toolsets for all types of data.<\/li><\/ul><\/li><\/ul>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t<div class=\"elementor-column elementor-col-50 elementor-top-column elementor-element elementor-element-4985e905\" data-id=\"4985e905\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-26152987 elementor-view-default elementor-widget elementor-widget-icon\" data-id=\"26152987\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"icon.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<div class=\"elementor-icon-wrapper\">\n\t\t\t<div class=\"elementor-icon\">\n\t\t\t<i aria-hidden=\"true\" class=\"fas fa-folder-open\"><\/i>\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-6901d97d elementor-widget elementor-widget-heading\" data-id=\"6901d97d\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h4 class=\"elementor-heading-title elementor-size-default\">Organization<\/h4>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-32edc7fa elementor-widget elementor-widget-text-editor\" data-id=\"32edc7fa\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<ul><li style=\"list-style-type: none\"><ul><li>Integrate <a class=\"glossaryLink\"  aria-describedby=\"tt\"  data-cmtooltip=\"&lt;div class=glossaryItemTitle&gt;Analytics&lt;\/div&gt;&lt;div class=glossaryItemBody&gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW232749137 BCX0&amp;quot;&amp;gt;Statistical and mathematical analysis of data to cluster, segment, score, and predict what scenarios are most likely to happen (&amp;lt;\/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW232749137 BCX0&amp;quot;&amp;gt;e.g., &amp;lt;\/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW232749137 BCX0&amp;quot;&amp;gt;data\/text mining, visualization, cluster analysis, forecasting).&amp;lt;\/span&amp;gt;&lt;\/div&gt;\"  href=\"https:\/\/crp.trb.org\/acrpwebresource18\/glossary\/analytics\/\"  data-gt-translate-attributes='[{\"attribute\":\"data-cmtooltip\", \"format\":\"html\"}]' tabindex='0' role='link'>analytics<\/a> into the strategic planning process to shape business strategy.<\/li><li>Manage analytical priorities, assets, and model review at the enterprise level.<\/li><li>Extend analytical tools and infrastructure broadly and deeply across the enterprise.<\/li><\/ul><\/li><\/ul>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-67d70fd0 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"67d70fd0\" data-element_type=\"section\" data-e-type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-38201f1b\" data-id=\"38201f1b\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap\">\n\t\t\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<\/div>\n\t\t","protected":false},"excerpt":{"rendered":"<p>Maturity Model and Evaluation Matrix Framing the <a class=\"glossaryLink\" aria-describedby=\"tt\" data-cmtooltip=\"&lt;div class=glossaryItemTitle&gt;Analytics&lt;\/div&gt;&lt;div class=glossaryItemBody&gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW232749137 BCX0&amp;quot;&amp;gt;Statistical and mathematical analysis of data to cluster, segment, score, and predict what scenarios are most likely to happen (&amp;lt;\/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW232749137 BCX0&amp;quot;&amp;gt;e.g., &amp;lt;\/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW232749137 BCX0&amp;quot;&amp;gt;data\/text mining, visualization, cluster analysis, forecasting).&amp;lt;\/span&amp;gt;&lt;\/div&gt;\" href=\"https:\/\/crp.trb.org\/acrpwebresource18\/glossary\/analytics\/\" data-gt-translate-attributes='[{\"attribute\":\"data-cmtooltip\", \"format\":\"html\"}]' tabindex=\"0\" role=\"link\">analytics<\/a> maturity of an organization as a series of stages can provide guidance to airports at different levels about the next steps in adopting data <a class=\"glossaryLink\" aria-describedby=\"tt\" data-cmtooltip=\"&lt;div class=glossaryItemTitle&gt;Analytics&lt;\/div&gt;&lt;div class=glossaryItemBody&gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW232749137 BCX0&amp;quot;&amp;gt;Statistical and mathematical analysis of data to cluster, segment, score, and predict what scenarios are most likely to happen (&amp;lt;\/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW232749137 BCX0&amp;quot;&amp;gt;e.g., &amp;lt;\/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW232749137 BCX0&amp;quot;&amp;gt;data\/text mining, visualization, cluster analysis, forecasting).&amp;lt;\/span&amp;gt;&lt;\/div&gt;\" href=\"https:\/\/crp.trb.org\/acrpwebresource18\/glossary\/analytics\/\" data-gt-translate-attributes='[{\"attribute\":\"data-cmtooltip\", \"format\":\"html\"}]' tabindex=\"0\" role=\"link\">analytics<\/a> for their specific needs (Davenport 2018). As traditional businesses, airports can be slow to change and therefore may seek to expand their &hellip; <a href=\"https:\/\/crp.trb.org\/acrpwebresource18\/maturity-model\/\" class=\"more-link\">Continue reading<span class=\"screen-reader-text\"> &ldquo;Maturity Model&rdquo;<\/span><\/a><\/p>\n","protected":false},"author":95,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_acf_changed":false,"footnotes":""},"categories":[],"tags":[4],"class_list":["post-1401","page","type-page","status-publish","hentry","tag-maturity-model"],"acf":[],"_links":{"self":[{"href":"https:\/\/crp.trb.org\/acrpwebresource18\/wp-json\/wp\/v2\/pages\/1401","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/crp.trb.org\/acrpwebresource18\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/crp.trb.org\/acrpwebresource18\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/crp.trb.org\/acrpwebresource18\/wp-json\/wp\/v2\/users\/95"}],"replies":[{"embeddable":true,"href":"https:\/\/crp.trb.org\/acrpwebresource18\/wp-json\/wp\/v2\/comments?post=1401"}],"version-history":[{"count":16,"href":"https:\/\/crp.trb.org\/acrpwebresource18\/wp-json\/wp\/v2\/pages\/1401\/revisions"}],"predecessor-version":[{"id":1670,"href":"https:\/\/crp.trb.org\/acrpwebresource18\/wp-json\/wp\/v2\/pages\/1401\/revisions\/1670"}],"wp:attachment":[{"href":"https:\/\/crp.trb.org\/acrpwebresource18\/wp-json\/wp\/v2\/media?parent=1401"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/crp.trb.org\/acrpwebresource18\/wp-json\/wp\/v2\/categories?post=1401"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/crp.trb.org\/acrpwebresource18\/wp-json\/wp\/v2\/tags?post=1401"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}