{"id":4021,"date":"2014-09-10T13:59:14","date_gmt":"2014-09-10T13:59:14","guid":{"rendered":"http:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/?p=4021"},"modified":"2014-09-10T13:59:48","modified_gmt":"2014-09-10T13:59:48","slug":"predictive-analytics-highest-value-utilities-analyzing-past","status":"publish","type":"post","link":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/predictive-analytics-highest-value-utilities-analyzing-past\/4021\/","title":{"rendered":"Predictive Analytics Have the Highest Value, So Why Are Utilities Analyzing the Past?"},"content":{"rendered":"Many utilities are realizing that the huge amount of granular data coming at them can be leveraged to tackle their biggest challenges, such as distributed generation and engaging consumers beyond traditional power delivery. A growing number of power companies are initiating big-data analytics projects, which include reports, dashboards and visualizations of historical data. But will they get the most out of the data by analyzing the past? Can slicing and dicing yesterday&#8217;s data provide them with the maximum value they so urgently need to address emerging operational and marketing needs? According to the technology research firm Gartner, predictive <a href=\"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/predictive-analytics-highest-value-utilities-analyzing-past\/4021\/\" class=\"more-link\">(more&hellip;)<\/a>","protected":false},"excerpt":{"rendered":"<p>Many utilities are realizing that the huge amount of granular data coming at them can be leveraged to tackle their biggest challenges, such as distributed generation and engaging consumers beyond traditional power delivery. A growing number of power companies are initiating big-data analytics projects, which include reports, dashboards and visualizations of historical data. But will [&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":[230,364,8,365,366],"class_list":["post-4021","post","type-post","status-publish","format-standard","hentry","category-industry-news","category-left-hand","tag-data-analytics","tag-grid4c","tag-predictive-analytics","tag-soft-grid","tag-utilities"],"_links":{"self":[{"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/posts\/4021","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=4021"}],"version-history":[{"count":3,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/posts\/4021\/revisions"}],"predecessor-version":[{"id":4024,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/posts\/4021\/revisions\/4024"}],"wp:attachment":[{"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/media?parent=4021"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/categories?post=4021"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/tags?post=4021"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}