{"id":5992,"date":"2015-08-08T09:00:52","date_gmt":"2015-08-08T13:00:52","guid":{"rendered":"http:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/?p=5992"},"modified":"2015-08-06T09:39:02","modified_gmt":"2015-08-06T13:39:02","slug":"building-predictive-models-more-about-value-than-glamour0808152","status":"publish","type":"post","link":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/building-predictive-models-more-about-value-than-glamour0808152\/5992\/","title":{"rendered":"Building Predictive Models more about Value than Glamour"},"content":{"rendered":"Building predictive models has come to seem like one of the more glamorous jobs in business intelligence and analytics. Successful, high-profile predictive modelers like Nate Silver, founder of the ESPN blog FiveThirtyEight, and Rayid Ghani, chief data scientist for President Obama&#8217;s 2012 re-election campaign, can achieve rock star status. But looking beneath the surface, it becomes clear that most of the actual work involved in successful predictive analytics projects isn&#8217;t so glamorous. &#8220;Everyone wants to build a model or do the business sell job&#8221; to help drive organizational decision making, said Jens Meyer, managing director of credit risk, <a href=\"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/building-predictive-models-more-about-value-than-glamour0808152\/5992\/\" class=\"more-link\">(more&hellip;)<\/a>","protected":false},"excerpt":{"rendered":"<p>Building predictive models has come to seem like one of the more glamorous jobs in business intelligence and analytics. Successful, high-profile predictive modelers like Nate Silver, founder of the ESPN blog FiveThirtyEight, and Rayid Ghani, chief data scientist for President Obama&#8217;s 2012 re-election campaign, can achieve rock star status. But looking beneath the surface, it [&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":[125,184],"class_list":["post-5992","post","type-post","status-publish","format-standard","hentry","category-industry-news","tag-business-intelligence","tag-predictive-modeling"],"_links":{"self":[{"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/posts\/5992","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=5992"}],"version-history":[{"count":2,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/posts\/5992\/revisions"}],"predecessor-version":[{"id":5994,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/posts\/5992\/revisions\/5994"}],"wp:attachment":[{"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/media?parent=5992"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/categories?post=5992"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/tags?post=5992"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}