{"id":6140,"date":"2015-08-23T14:30:34","date_gmt":"2015-08-23T18:30:34","guid":{"rendered":"http:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/?p=6140"},"modified":"2015-08-27T10:47:18","modified_gmt":"2015-08-27T14:47:18","slug":"retailers-find-big-data-limiting-for-promotions0823152","status":"publish","type":"post","link":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/retailers-find-big-data-limiting-for-promotions0823152\/6140\/","title":{"rendered":"Retailers Find Big Data Limiting for Promotions"},"content":{"rendered":"The term \u2018big data\u2019 has become ubiquitous as it has permeated nearly every industry over the last ten years. While definitions abound, its fundamental implications remain constant: it represents a cross-functional focus on leveraging exponentially growing volumes of data to increase operational performance and ROI. Though it hit the mainstream only recently, big data has been a mainstay of brick-and-mortar retail \u2013 where data is created every time a consumer makes a purchase \u2013 for years. In fact, retailers have long looked to big data as the key to competitive advantage, particularly as competition has intensified and margins <a href=\"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/retailers-find-big-data-limiting-for-promotions0823152\/6140\/\" class=\"more-link\">(more&hellip;)<\/a>","protected":false},"excerpt":{"rendered":"<p>The term \u2018big data\u2019 has become ubiquitous as it has permeated nearly every industry over the last ten years. While definitions abound, its fundamental implications remain constant: it represents a cross-functional focus on leveraging exponentially growing volumes of data to increase operational performance and ROI. Though it hit the mainstream only recently, big data has [&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":[11,48],"tags":[59,42],"class_list":["post-6140","post","type-post","status-publish","format-standard","hentry","category-industry-news","category-left-hand","tag-analytics","tag-big-data"],"_links":{"self":[{"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/posts\/6140","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=6140"}],"version-history":[{"count":5,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/posts\/6140\/revisions"}],"predecessor-version":[{"id":6145,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/posts\/6140\/revisions\/6145"}],"wp:attachment":[{"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/media?parent=6140"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/categories?post=6140"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/tags?post=6140"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}