{"id":2554,"date":"2013-10-25T14:47:34","date_gmt":"2013-10-25T14:47:34","guid":{"rendered":"http:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/?p=2554"},"modified":"2013-12-03T17:19:35","modified_gmt":"2013-12-03T17:19:35","slug":"cloud-predictive-analytics-most-used-to-gain-customer-insight","status":"publish","type":"post","link":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/cloud-predictive-analytics-most-used-to-gain-customer-insight\/2554\/","title":{"rendered":"Cloud Predictive Analytics Most Used To Gain Customer Insight"},"content":{"rendered":"Using analytics to better understand customer satisfaction, profitability, retention and churn while increasing cross-sell and up-sell are the most dominant uses of cloud-based analytics today. James Taylor will present on these research results at Predictive Analytics World San Francisco Jim Ericson and James Taylor presented the results of Decision Management Solutions\u2019 cloud predictive analytics survey this week in the webinar Predictive Analytics in the Cloud 2013 \u2013 Opportunities, Trends and the Impact of Big Data.\u00a0 The research methodology included 350 survey responses, with a Web-based survey used for data collection.\u00a0 The survey centered on the areas of pre-packaged <a href=\"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/cloud-predictive-analytics-most-used-to-gain-customer-insight\/2554\/\" class=\"more-link\">(more&hellip;)<\/a>","protected":false},"excerpt":{"rendered":"<p>Using analytics to better understand customer satisfaction, profitability, retention and churn while increasing cross-sell and up-sell are the most dominant uses of cloud-based analytics today. James Taylor will present on these research results at Predictive Analytics World San Francisco Jim Ericson and James Taylor presented the results of Decision Management Solutions\u2019 cloud predictive analytics survey [&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":[],"class_list":["post-2554","post","type-post","status-publish","format-standard","hentry","category-industry-news"],"_links":{"self":[{"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/posts\/2554","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=2554"}],"version-history":[{"count":7,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/posts\/2554\/revisions"}],"predecessor-version":[{"id":2742,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/posts\/2554\/revisions\/2742"}],"wp:attachment":[{"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/media?parent=2554"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/categories?post=2554"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/tags?post=2554"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}