{"id":3176,"date":"2014-01-22T14:10:16","date_gmt":"2014-01-22T14:10:16","guid":{"rendered":"http:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/?p=3176"},"modified":"2014-01-22T14:13:55","modified_gmt":"2014-01-22T14:13:55","slug":"thriving-in-a-big-data-world","status":"publish","type":"post","link":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/thriving-in-a-big-data-world\/3176\/","title":{"rendered":"Thriving in a Big Data World"},"content":{"rendered":"Three recent books offer managers expert perspectives on the increasing power and importance of analytics. U.S. President Barack Obama&#8217;s 2012 campaign owed much of its success to quantitative analysis, with staffers able to identify, for example, which people would likely be swayed to vote for him after receiving a flyer, phone call or home visit, thus tipping the balance in the fight for crucial swing states. Wal-Mart has learned that before a hurricane strikes an area, not only does the demand for flashlights increase but also that for Pop-Tarts. Even the world of sports has become enamored of <a href=\"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/thriving-in-a-big-data-world\/3176\/\" class=\"more-link\">(more&hellip;)<\/a>","protected":false},"excerpt":{"rendered":"<p>Three recent books offer managers expert perspectives on the increasing power and importance of analytics. U.S. President Barack Obama&#8217;s 2012 campaign owed much of its success to quantitative analysis, with staffers able to identify, for example, which people would likely be swayed to vote for him after receiving a flyer, phone call or home visit, [&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":[42,230],"class_list":["post-3176","post","type-post","status-publish","format-standard","hentry","category-industry-news","tag-big-data","tag-data-analytics"],"_links":{"self":[{"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/posts\/3176","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=3176"}],"version-history":[{"count":7,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/posts\/3176\/revisions"}],"predecessor-version":[{"id":3183,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/posts\/3176\/revisions\/3183"}],"wp:attachment":[{"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/media?parent=3176"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/categories?post=3176"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/tags?post=3176"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}