{"id":8543,"date":"2017-03-20T09:00:08","date_gmt":"2017-03-20T13:00:08","guid":{"rendered":"http:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/?p=8543"},"modified":"2017-03-17T13:42:17","modified_gmt":"2017-03-17T17:42:17","slug":"employee-life-time-value-cost-modeling-part-2","status":"publish","type":"post","link":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/employee-life-time-value-cost-modeling-part-2\/8543\/","title":{"rendered":"Employee Life Time Value and Cost Modeling &#8211;  Part 2"},"content":{"rendered":"The Employee Cost Curve It is simple enough to document the hard costs that make up the initial stages of employee life-cycle. This section will walk through the major cost areas, but the specifics will depend on the role at hand. We don&#8217;t suggest modeling &#8220;soft costs&#8221; such as morale or engagement, as they are easy to manipulate and difficult to defend. Typically a small number of meetings and accounting queries are all that is needed to put a simple aggregate together. It is a good practice to assemble the costs in a shared spreadsheet for the involved <a href=\"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/employee-life-time-value-cost-modeling-part-2\/8543\/\" class=\"more-link\">(more&hellip;)<\/a>","protected":false},"excerpt":{"rendered":"<p>The Employee Cost Curve It is simple enough to document the hard costs that make up the initial stages of employee life-cycle. This section will walk through the major cost areas, but the specifics will depend on the role at hand. We don&#8217;t suggest modeling &#8220;soft costs&#8221; such as morale or engagement, as they are [&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],"tags":[59,230,166,243,650,8,549,339,565],"class_list":["post-8543","post","type-post","status-publish","format-standard","hentry","category-industry-news","tag-analytics","tag-data-analytics","tag-data-science","tag-machine-learning","tag-pasha-roberts","tag-predictive-analytics","tag-predictive-workforce-analytics","tag-talent-analytics","tag-workforce-analytics"],"_links":{"self":[{"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/posts\/8543","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=8543"}],"version-history":[{"count":3,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/posts\/8543\/revisions"}],"predecessor-version":[{"id":8554,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/posts\/8543\/revisions\/8554"}],"wp:attachment":[{"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/media?parent=8543"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/categories?post=8543"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/tags?post=8543"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}