{"id":6786,"date":"2015-11-19T14:00:25","date_gmt":"2015-11-19T19:00:25","guid":{"rendered":"http:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/?p=6786"},"modified":"2015-11-30T16:13:38","modified_gmt":"2015-11-30T21:13:38","slug":"building-a-hiring-house-of-gold-with-talent-analytics","status":"publish","type":"post","link":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/building-a-hiring-house-of-gold-with-talent-analytics\/6786\/","title":{"rendered":"Building a Hiring House of Gold with Talent Analytics"},"content":{"rendered":"Building a quality database for talent analytics is like building a house. Having the tools, materials, and workers is absolutely essential \u2013 after all, without any of those, how will the house get built? \u2013 but even that isn\u2019t enough. In order to build the house you want, you have to have the plans for the house, know how it\u2019s going to be built, and be able to look at the results after it\u2019s built. The same is true for your talent analytics effort: the metrics you use in your talent acquisition process will influence how your recruiting <a href=\"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/building-a-hiring-house-of-gold-with-talent-analytics\/6786\/\" class=\"more-link\">(more&hellip;)<\/a>","protected":false},"excerpt":{"rendered":"<p>Building a quality database for talent analytics is like building a house. Having the tools, materials, and workers is absolutely essential \u2013 after all, without any of those, how will the house get built? \u2013 but even that isn\u2019t enough. In order to build the house you want, you have to have the plans for [&hellip;]<\/p>\n","protected":false},"author":2,"featured_media":0,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":"","_links_to":"","_links_to_target":""},"categories":[11],"tags":[436,339,484],"class_list":["post-6786","post","type-post","status-publish","format-standard","hentry","category-industry-news","tag-hr","tag-talent-analytics","tag-workforce"],"_links":{"self":[{"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/posts\/6786","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=6786"}],"version-history":[{"count":1,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/posts\/6786\/revisions"}],"predecessor-version":[{"id":6787,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/posts\/6786\/revisions\/6787"}],"wp:attachment":[{"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/media?parent=6786"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/categories?post=6786"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/tags?post=6786"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}