Faced with overwhelmi ng amounts of data, organizations across the world are looking at ways to d erive insights from data analytics and make good business decisions. Howeve r, not many organizations are successful in transforming their data into in sights. In January of 2019, Gartner reported that 80% of analytics insights did not deliver business outcomes. So how can a business enterprise avoid an analytics failure?
\nThis tutorial will provide 10 key enterprise data analytics best practices across four domains: Data Management, Da ta Engineering, Data Science, and Data Monetization. These best practices r eflect the regulations, compliance and business processes, and ethical dimensions pertaining to data analytics. The analytics best practices will be the core theme of the tutorial, as the objective is to offer prescriptive, superior, and reusable guidance to the audience and impr ove the likelihood of delivering enterprise data analytics solutions succes sfully!
\nNOTE: The audience for this tutorial is senior IT and busin ess leaders who are looking at delivering successful analytics solutions. T his tutorial is NOT on Tableau, R, or SAS. But key statistical techniq ues required for business leaders will be discussed.
\n DTSTART:20200323T083000 SUMMARY:AM10: Ten Key Analytics Best Practices for Business Results DTEND:20200323T114459 LOCATION: See Description END:VEVENT END:VCALENDAR