{"id":896,"date":"2013-04-11T13:46:21","date_gmt":"2013-04-11T13:46:21","guid":{"rendered":"http:\/\/www.predictiveanalyticsworld.com\/_dev\/magazine\/?p=896"},"modified":"2013-05-21T18:02:01","modified_gmt":"2013-05-21T18:02:01","slug":"predictive-analytics-provides-way-to-proactively-pounce","status":"publish","type":"post","link":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/predictive-analytics-provides-way-to-proactively-pounce\/896\/","title":{"rendered":"Predictive Analytics Provides Way To &#8216;Proactively Pounce&#8217;"},"content":{"rendered":"At Lexis Nexis Risk Solutions, predicting the future is the business. Using a combination of big data and scoring analytics, the company helps insurers assess their risk and streamline their underwriting. Eighteen months ago, CMO Lisa Agona determined it was time to apply predictive analytics to the company&#8217;s marketing efforts. &#8220;We had been talking about how the effective use of business&ndash;to&ndash;business data hypotheses could provide us with competitive differentiation,&#8221; Agona told CMO.com. &#8220;We decided to take that core capability and create a culture of analytics.&#8221; The marketing group piloted a predictive customer attrition model that saw attrition levels <a href=\"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/predictive-analytics-provides-way-to-proactively-pounce\/896\/\" class=\"more-link\">(more&hellip;)<\/a>","protected":false},"excerpt":{"rendered":"<p>At Lexis Nexis Risk Solutions, predicting the future is the business. Using a combination of big data and scoring analytics, the company helps insurers assess their risk and streamline their underwriting. Eighteen months ago, CMO Lisa Agona determined it was time to apply predictive analytics to the company&#8217;s marketing efforts. &#8220;We had been talking about [&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":[35,38,8,37,36],"class_list":["post-896","post","type-post","status-publish","format-standard","hentry","category-industry-news","tag-analysis-measurement","tag-best-practices","tag-predictive-analytics","tag-strategic-planning","tag-web-analytics"],"_links":{"self":[{"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/posts\/896","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=896"}],"version-history":[{"count":8,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/posts\/896\/revisions"}],"predecessor-version":[{"id":1323,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/posts\/896\/revisions\/1323"}],"wp:attachment":[{"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/media?parent=896"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/categories?post=896"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/tags?post=896"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}