{"id":419,"date":"2020-12-14T14:27:00","date_gmt":"2020-12-14T14:27:00","guid":{"rendered":"http:\/\/advancement-services.ncsu.edu\/roadmap\/?p=419"},"modified":"2020-12-15T14:42:53","modified_gmt":"2020-12-15T14:42:53","slug":"predictive-data-analysis-for-decision-making-update","status":"publish","type":"post","link":"https:\/\/advancement-services.ncsu.edu\/roadmap\/2020\/12\/14\/predictive-data-analysis-for-decision-making-update\/","title":{"rendered":"Predictive Data Analysis for Decision-Making Update"},"content":{"rendered":"\n<h4 class=\"has-wolfpack-red-color has-text-color\"><strong>Accomplishments<\/strong><\/h4>\n\n\n\n<ul><li>Our data variable spreadsheet is complete and we are in the process of getting all the data fields in Data Mart to start running correlations.<\/li><li>We are focusing on two outcomes<ul><li>Donor outcome: we plan to figure out the attributes of donors and non donors<ul><li>For example, if we have non donors registering and attending events, have student activity and volunteer backgrounds, receiving, opening, and engaging with email and they still haven\u2019t given \u2192 WHY?<ul><li>These constituents would be on our high priority list<\/li><\/ul><\/li><\/ul><\/li><li>Giving outcome: we will only be analyzing donors and their established traits<ul><li>For example, constituents that are LAG donors that look like major gift donors but have only given a few thousand dollars over the past 10 years<\/li><\/ul><\/li><\/ul><\/li><\/ul>\n\n\n\n<h4 class=\"has-wolfpack-red-color has-text-color\"><strong>Obstacles\/Challenges<\/strong><\/h4>\n\n\n\n<ul><li>High priority tasks on the Advancement Services team for CYE and data migrations taking place may put us around a February timeline for all correlations to be completed.<\/li><li>Planning what we will do after our correlations are complete<ul><li>Planning to meet with LSU since they have a \u201cgold score\u201d for all their entities\/prospects that their stats department created<\/li><li>We will also need to determine how we will scale\/weight the significance of our variables and correlations<\/li><\/ul><\/li><\/ul>\n","protected":false},"excerpt":{"rendered":"<p>Accomplishments Our data variable spreadsheet is complete and we are in the process of getting all the data fields in Data Mart to start running&#8230;<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":[],"categories":[17],"tags":[],"_links":{"self":[{"href":"https:\/\/advancement-services.ncsu.edu\/roadmap\/wp-json\/wp\/v2\/posts\/419"}],"collection":[{"href":"https:\/\/advancement-services.ncsu.edu\/roadmap\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/advancement-services.ncsu.edu\/roadmap\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/advancement-services.ncsu.edu\/roadmap\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/advancement-services.ncsu.edu\/roadmap\/wp-json\/wp\/v2\/comments?post=419"}],"version-history":[{"count":3,"href":"https:\/\/advancement-services.ncsu.edu\/roadmap\/wp-json\/wp\/v2\/posts\/419\/revisions"}],"predecessor-version":[{"id":445,"href":"https:\/\/advancement-services.ncsu.edu\/roadmap\/wp-json\/wp\/v2\/posts\/419\/revisions\/445"}],"wp:attachment":[{"href":"https:\/\/advancement-services.ncsu.edu\/roadmap\/wp-json\/wp\/v2\/media?parent=419"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/advancement-services.ncsu.edu\/roadmap\/wp-json\/wp\/v2\/categories?post=419"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/advancement-services.ncsu.edu\/roadmap\/wp-json\/wp\/v2\/tags?post=419"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}