{"id":3321,"date":"2014-02-20T18:09:08","date_gmt":"2014-02-20T18:09:08","guid":{"rendered":"http:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/?p=3321"},"modified":"2014-06-12T16:08:21","modified_gmt":"2014-06-12T16:08:21","slug":"employee-churn-201-calculating-employee-value","status":"publish","type":"post","link":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/employee-churn-201-calculating-employee-value\/3321\/","title":{"rendered":"Employee Churn 201: Calculating Employee Value"},"content":{"rendered":"Much has been written about customer churn &#8211; predicting who, when, and why customers will stop buying, and how (or whether) to intervene. Employee churn is similar &#8211; we want to predict who, when, and why employees will terminate. In many ways, it is smarter to to focus inward on employees. For one thing, it is far easier for an company to change the operations or even the behavior of an employee, than that of a customer. As will be seen, employee churn can be massively expensive, and incremental improvements will give big results. The most important difference <a href=\"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/employee-churn-201-calculating-employee-value\/3321\/\" class=\"more-link\">(more&hellip;)<\/a>","protected":false},"excerpt":{"rendered":"<p>Much has been written about customer churn &#8211; predicting who, when, and why customers will stop buying, and how (or whether) to intervene. Employee churn is similar &#8211; we want to predict who, when, and why employees will terminate. In many ways, it is smarter to to focus inward on employees. For one thing, it [&hellip;]<\/p>\n","protected":false},"author":2,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":"","_links_to":"","_links_to_target":""},"categories":[3],"tags":[],"class_list":["post-3321","post","type-post","status-publish","format-standard","hentry","category-leading-stories"],"_links":{"self":[{"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/posts\/3321","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\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/comments?post=3321"}],"version-history":[{"count":7,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/posts\/3321\/revisions"}],"predecessor-version":[{"id":3328,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/posts\/3321\/revisions\/3328"}],"wp:attachment":[{"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/media?parent=3321"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/categories?post=3321"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/tags?post=3321"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}