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DESCRIPTION:Click for Latest Location Information: http://edw2020.dataversi
 ty.net/sessionPop.cfm?confid=128&proposalid=11440\n<p>A number of health ca
 re institutions undertake institutional-level Data Integration and Analytic
 s Delivery initiatives. However, some of these initiatives take so long to 
 kick&nbsp;off that the business loses interest in their implementation and 
 looks for alternative short-term solutions for meeting their immediate anal
 ytics needs. These short-term approaches are suboptimal. These suboptimal s
 olutions do not really integrate data for the institution and hence result 
 in inefficiencies introduced due to lack of coordinated effort, governance,
 &nbsp;etc.</p>\n<p>On the other hand, some of the institutional Data Integr
 ation initiatives kick&nbsp;off on time but fail to integrate the&nbsp;data
  that brings the most value to the institution. As a result, though there i
 s integrated data in the Integrated Data Platform, there is not enough busi
 ness pull-through and eventually, the platform loses its value.</p>\n<p>Dur
 ing my experience working at premier health care institutions in the U.S.,&
 nbsp;I&#39;ve&nbsp;encountered both of these scenarios in varying degrees. 
 Hence, through that experience, I have come up with an approach to identify
 , analyze, strategize, and plan for the successful delivery of Analytics th
 rough the implementation of an institutional-wide Integrated Data Platform.
 &nbsp;The approach not only looks at the problem of timely integrated data 
 and delivery but also best practices that can be widely adopted.</p>\n<p>De
 sign&nbsp;a&nbsp;finite step approach&nbsp;for timely value-based Analytics
  delivery using the Integrated Data Platform:</p>\n\n
 Validate the&nbsp;Need\n
 Identify Analytics for Automation and&nbsp;Delivery\n
 Identify Business Sponsors\n	Prioritize and&nbsp;Build a Roadmap\n
 Plan Delivery\n	Getting Started\n
 Project Monitoring and&nbsp;Periodic Analytics Delivery\n\n<p>The presentat
 ion also covers other items that need to be taken care of for successful de
 livery of a data warehouse like:</p>\n\n	Managing Customer Expectations\n
 Team Alignment\n	Customer Engagement\n	Data Governance\n	Data Quality\n
 Analytics Pull-Through\n\n
DTSTART:20200326T110000
SUMMARY:Best Practices to Initiate and Manage Data Warehouse as a Product
DTEND:20200326T115959
LOCATION: See Description
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