{"id":8177,"date":"2016-09-28T15:50:02","date_gmt":"2016-09-28T19:50:02","guid":{"rendered":"http:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/?p=8177"},"modified":"2021-09-05T11:54:47","modified_gmt":"2021-09-05T15:54:47","slug":"trick-predictive-analytics-bridge-quantbusiness-culture-gap","status":"publish","type":"post","link":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/trick-predictive-analytics-bridge-quantbusiness-culture-gap\/8177\/","title":{"rendered":"The Trick to Predictive Analytics: How to Bridge the Quant\/Business Culture Gap"},"content":{"rendered":"This article is excerpted from Eric Siegel\u2019s foreword to the recently released book, Mining Your Own Business: A Primer for Executives on Understanding and Employing Data Mining and Predictive Analytics, by Jeff Deal and Gerhard Pilcher. Those two authors head up the programming of two of the event series Siegel founded, Predictive Analytics World: PAW Healthcare and PAW Government, respectively. For predictive analytics to work, two different species must cooperate in harmony: the business leader and the quant. In order to function together, they each have to adapt. On the one hand, the quant needs to attain a <a href=\"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/trick-predictive-analytics-bridge-quantbusiness-culture-gap\/8177\/\" class=\"more-link\">(more&hellip;)<\/a>","protected":false},"excerpt":{"rendered":"<p>This article is excerpted from Eric Siegel\u2019s foreword to the recently released book, Mining Your Own Business: A Primer for Executives on Understanding and Employing Data Mining and Predictive Analytics, by Jeff Deal and Gerhard Pilcher. Those two authors head up the programming of two of the event series Siegel founded, Predictive Analytics World: PAW [&hellip;]<\/p>\n","protected":false},"author":625,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":"","_links_to":"","_links_to_target":""},"categories":[3],"tags":[166,8],"class_list":["post-8177","post","type-post","status-publish","format-standard","hentry","category-leading-stories","tag-data-science","tag-predictive-analytics"],"_links":{"self":[{"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/posts\/8177","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\/625"}],"replies":[{"embeddable":true,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/comments?post=8177"}],"version-history":[{"count":6,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/posts\/8177\/revisions"}],"predecessor-version":[{"id":12269,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/posts\/8177\/revisions\/12269"}],"wp:attachment":[{"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/media?parent=8177"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/categories?post=8177"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/tags?post=8177"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}