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DESCRIPTION:Click for Latest Location Information: http://edw2023fall.datav
 ersity.net/sessionPop.cfm?confid=157&proposalid=14601\nAdvancing your organ
 ization by enabling users with self-service BI and analytics requires a muc
 h higher degree of forethought than just providing users with reports or wi
 th simple interactive capabilities. You are empowering self-service us
 ers to design their own analyses to speed up time to analytics - but there 
 are risks you need to consider e.g., risks of double counting, risks of mis
 understanding the data and the model, and risks of improper sharing. \
 n\nIn this presentation, we will go over the considerations for going to se
 lf-service BI/analytics. \n\n
 Using a Conceptual Data Model to ensure an understanding of complex busines
 s data rules and relationships\n
 Structuring an analytics model that helps prevent double counting and is ea
 sier for self-service users to use (also enabling point-in-time analytics)\
 n
 Ensuring effective metadata and data lineage available for self-service use
 rs to understand the data and where it comes from to inspire greater trust 
 in the data\n	Effective communications with your self-service users\n\n
DTSTART:20230919T134500
SUMMARY:Preparing for Your Self-Service BI and Analytics Journey
DTEND:20230919T142959
LOCATION: See Description
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