{"id":10639,"date":"2019-11-09T08:21:28","date_gmt":"2019-11-09T13:21:28","guid":{"rendered":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/?p=10639"},"modified":"2019-11-09T08:21:28","modified_gmt":"2019-11-09T13:21:28","slug":"how-to-leverage-predictive-analytics-for-employee-retention","status":"publish","type":"post","link":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/how-to-leverage-predictive-analytics-for-employee-retention\/10639\/","title":{"rendered":"How to Leverage Predictive Analytics for Employee Retention"},"content":{"rendered":"Originally published in TechRepublic, November 7, 2019. Competition for skilled tech workers is fierce, so a new program actually predicts when an employee is considering resignation, and how you can implement retention. Crystal balls, fortune cookies and tellers, and, sadly, our own perceptions, can&#8217;t predict the future. This indecision may lead your coveted employees to ask themselves the question The Clash posed in 1981: &#8220;Should I stay or should I go?&#8221; Your company&#8217;s go-to girl(s) or guy(s) are a hot commodity, and it&#8217;s hard for them to ignore how they and their tech skills are in heavy demand. <a href=\"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/how-to-leverage-predictive-analytics-for-employee-retention\/10639\/\" class=\"more-link\">(more&hellip;)<\/a>","protected":false},"excerpt":{"rendered":"<p>Originally published in TechRepublic, November 7, 2019. Competition for skilled tech workers is fierce, so a new program actually predicts when an employee is considering resignation, and how you can implement retention. Crystal balls, fortune cookies and tellers, and, sadly, our own perceptions, can&#8217;t predict the future. This indecision may lead your coveted employees to [&hellip;]<\/p>\n","protected":false},"author":72,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":"","_links_to":"","_links_to_target":""},"categories":[11,48],"tags":[],"class_list":["post-10639","post","type-post","status-publish","format-standard","hentry","category-industry-news","category-left-hand"],"_links":{"self":[{"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/posts\/10639","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/users\/72"}],"replies":[{"embeddable":true,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/comments?post=10639"}],"version-history":[{"count":4,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/posts\/10639\/revisions"}],"predecessor-version":[{"id":10643,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/posts\/10639\/revisions\/10643"}],"wp:attachment":[{"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/media?parent=10639"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/categories?post=10639"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/tags?post=10639"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}