{"id":6678,"date":"2015-11-01T10:00:04","date_gmt":"2015-11-01T15:00:04","guid":{"rendered":"http:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/?p=6678"},"modified":"2015-10-26T14:05:38","modified_gmt":"2015-10-26T18:05:38","slug":"misconceptions-about-predictive-analytics","status":"publish","type":"post","link":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/misconceptions-about-predictive-analytics\/6678\/","title":{"rendered":"Misconceptions About Predictive Analytics"},"content":{"rendered":"Predictive analytics is often cited as a key business driver for Big Data. It is easy to see how predictive analytics, when done right, can represent a strong competitive advantage for companies. Such as: Enabling companies to be proactive which translates to reduced cost, improved service and\/or being the first to market Making customers feel you\u2019ve read their mind which improves customer loyalty and retention So let\u2019s discuss the common misconceptions about predictive analytics and how to overcome them: We need to start small and iterate, so let\u2019s start with a limited feature set A key roadblock for <a href=\"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/misconceptions-about-predictive-analytics\/6678\/\" class=\"more-link\">(more&hellip;)<\/a>","protected":false},"excerpt":{"rendered":"<p>Predictive analytics is often cited as a key business driver for Big Data. It is easy to see how predictive analytics, when done right, can represent a strong competitive advantage for companies. Such as: Enabling companies to be proactive which translates to reduced cost, improved service and\/or being the first to market Making customers feel [&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":[42,8,146],"class_list":["post-6678","post","type-post","status-publish","format-standard","hentry","category-industry-news","tag-big-data","tag-predictive-analytics","tag-predictive-models"],"_links":{"self":[{"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/posts\/6678","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=6678"}],"version-history":[{"count":4,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/posts\/6678\/revisions"}],"predecessor-version":[{"id":6682,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/posts\/6678\/revisions\/6682"}],"wp:attachment":[{"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/media?parent=6678"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/categories?post=6678"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/tags?post=6678"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}