{"id":3879,"date":"2014-08-14T16:36:23","date_gmt":"2014-08-14T16:36:23","guid":{"rendered":"http:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/?p=3879"},"modified":"2014-08-14T16:36:57","modified_gmt":"2014-08-14T16:36:57","slug":"using-predictive-analytics-improve-hire-quality","status":"publish","type":"post","link":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/using-predictive-analytics-improve-hire-quality\/3879\/","title":{"rendered":"Using Predictive Analytics to Improve Hire Quality"},"content":{"rendered":"To learn more about talent analytics, attend Predictive Analytics World for Workforce As the economy improves, demand for new hires is rising as more departing and retiring employees leave openings to fill. With increased voluntary turnover, organizations face growing pressure to hire quickly, often resulting in an increase in poor hires. A good indicator of quality of hire is turnover during the first year of service. An employee leaving \u2014 voluntarily or involuntarily \u2014 within the first year typically indicates poor selection, poor onboarding or both. Through the use of advanced analytic techniques, modeling frameworks and data from <a href=\"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/using-predictive-analytics-improve-hire-quality\/3879\/\" class=\"more-link\">(more&hellip;)<\/a>","protected":false},"excerpt":{"rendered":"<p>To learn more about talent analytics, attend Predictive Analytics World for Workforce As the economy improves, demand for new hires is rising as more departing and retiring employees leave openings to fill. With increased voluntary turnover, organizations face growing pressure to hire quickly, often resulting in an increase in poor hires. A good indicator of [&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":[11,48],"tags":[],"class_list":["post-3879","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\/3879","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=3879"}],"version-history":[{"count":2,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/posts\/3879\/revisions"}],"predecessor-version":[{"id":3881,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/posts\/3879\/revisions\/3881"}],"wp:attachment":[{"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/media?parent=3879"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/categories?post=3879"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/tags?post=3879"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}