{"id":2675,"date":"2021-12-08T22:42:28","date_gmt":"2021-12-08T22:42:28","guid":{"rendered":"https:\/\/aurorapredictions.com\/?page_id=2675"},"modified":"2021-12-20T23:47:56","modified_gmt":"2021-12-20T23:47:56","slug":"module-02","status":"publish","type":"page","link":"https:\/\/aurorapredictions.com\/academy\/module-02\/","title":{"rendered":"Academy &#8211; Module 2"},"content":{"rendered":"\n<p>Most executives and managers say adopting AI and analytics is their top priority, however, only 1 of 3 of these projects succeeds. Further, the lack of analytics costs businesses some $242 billion annually from under optimized planning. Implementing AI has been elusive due to a lack of vision, voice, and clarity on the value of analytics, and how to achieve a culture of data-driven decisions. Module 1 of the Analytics Academy follows the book, \u201cImplementing an Analytics Culture for Data-Driven Decisions\u201d,&nbsp; to crystallize and articulate the Roadmap to implement an analytics culture and to give clarity to the four main components of Mindset, People, Process, and Systems. These components when aligned encompass a successful implementation path.<\/p>\n\n\n\n<p>In Module 1 you\u2019ll learn each of the four components of the analytics culture, then the assembly of these components into a Roadmap for how to implement analytics. You\u2019ll conclude with an exceptionally enlightening use case where a highly successful analytics proof-of-concept project ended without its implementation, and where and why on the analytics Roadmap misalignment can cause a derailment.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Most executives and managers say adopting AI and analytics is their top priority, however, only 1 of 3 of these projects succeeds. Further, the lack of analytics costs businesses some $242 billion annually from under optimized planning. Implementing AI has been elusive due to a lack of vision, voice, and clarity on the value of [&hellip;]<\/p>\n","protected":false},"author":16,"featured_media":0,"parent":2589,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"templates\/modules-parent.php","meta":{"footnotes":""},"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v22.6 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>Academy - Module 2 - Aurora Predictions<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/aurorapredictions.com\/academy\/module-02\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Academy - Module 2 - Aurora Predictions\" \/>\n<meta property=\"og:description\" content=\"Most executives and managers say adopting AI and analytics is their top priority, however, only 1 of 3 of these projects succeeds. Further, the lack of analytics costs businesses some $242 billion annually from under optimized planning. 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Further, the lack of analytics costs businesses some $242 billion annually from under optimized planning. 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