{"id":7088,"date":"2015-12-29T16:00:09","date_gmt":"2015-12-29T21:00:09","guid":{"rendered":"http:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/?p=7088"},"modified":"2015-12-29T10:06:15","modified_gmt":"2015-12-29T15:06:15","slug":"how-to-harness-predictive-analytics-and-become-a-big-data-dynamo","status":"publish","type":"post","link":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/how-to-harness-predictive-analytics-and-become-a-big-data-dynamo\/7088\/","title":{"rendered":"How to Harness Predictive Analytics and Become a Big Data Dynamo"},"content":{"rendered":"Predictive analytics has come a long way and, in an era defined by the ever-increasing influx of data and heightened customer demands, businesses no longer can deny its strategic importance. Industries such as insurance, financial services, and retail have used predictive analytics for decades, while others are just getting started. So what\u2019s new? Predictive analytics now is being used to support day-to-day business operations and decision making rather than only special, retrospective projects. \u00a0Companies that use predictive analytics effectively can glean forward-looking insights that enable them to spot new business opportunities and innovate more quickly. So why aren\u2019t <a href=\"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/how-to-harness-predictive-analytics-and-become-a-big-data-dynamo\/7088\/\" class=\"more-link\">(more&hellip;)<\/a>","protected":false},"excerpt":{"rendered":"<p>Predictive analytics has come a long way and, in an era defined by the ever-increasing influx of data and heightened customer demands, businesses no longer can deny its strategic importance. Industries such as insurance, financial services, and retail have used predictive analytics for decades, while others are just getting started. So what\u2019s new? Predictive analytics [&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":[42,166,451,8],"class_list":["post-7088","post","type-post","status-publish","format-standard","hentry","category-industry-news","tag-big-data","tag-data-science","tag-emc","tag-predictive-analytics"],"_links":{"self":[{"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/posts\/7088","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=7088"}],"version-history":[{"count":6,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/posts\/7088\/revisions"}],"predecessor-version":[{"id":7093,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/posts\/7088\/revisions\/7093"}],"wp:attachment":[{"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/media?parent=7088"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/categories?post=7088"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/tags?post=7088"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}