{"id":5056,"date":"2015-03-06T15:27:33","date_gmt":"2015-03-06T15:27:33","guid":{"rendered":"http:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/?p=5056"},"modified":"2015-03-06T15:27:47","modified_gmt":"2015-03-06T15:27:47","slug":"big-data-or-big-deal-why-you-should-hug-your-analytics-specialist","status":"publish","type":"post","link":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/big-data-or-big-deal-why-you-should-hug-your-analytics-specialist\/5056\/","title":{"rendered":"Big Data or Big Deal? Why You Should Hug Your Analytics Specialist"},"content":{"rendered":"It\u2019s impossible to escape the terminology Big Data these days. It\u2019s taken on faddish dimensions of popularity with various theories and ideas proposing the best way to tackle and manage the increasing amounts of information we generate and record. The reality is that most data is unusable to most businesses due to various regulations including privacy, intellectual property constraints and firewalls. Even data in the public domain is hopelessly mismanaged and underutilised. A recent (-ish, late 2012) report by IDC Digital Universe claims that only 3% of all potentially useful data is currently tagged at all, while less <a href=\"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/big-data-or-big-deal-why-you-should-hug-your-analytics-specialist\/5056\/\" class=\"more-link\">(more&hellip;)<\/a>","protected":false},"excerpt":{"rendered":"<p>It\u2019s impossible to escape the terminology Big Data these days. It\u2019s taken on faddish dimensions of popularity with various theories and ideas proposing the best way to tackle and manage the increasing amounts of information we generate and record. The reality is that most data is unusable to most businesses due to various regulations including [&hellip;]<\/p>\n","protected":false},"author":2,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":"","_links_to":"","_links_to_target":""},"categories":[11,48],"tags":[],"class_list":["post-5056","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\/5056","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=5056"}],"version-history":[{"count":1,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/posts\/5056\/revisions"}],"predecessor-version":[{"id":5057,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/posts\/5056\/revisions\/5057"}],"wp:attachment":[{"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/media?parent=5056"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/categories?post=5056"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/tags?post=5056"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}