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DESCRIPTION:Click for Latest Location Information: http://dgiq2022east.data
 versity.net/sessionPop.cfm?confid=151&proposalid=13923\nWhile it serves reg
 ulatory requirements, a heavy-handed, top-down approach to governance can l
 eave Data Governance teams exhausted and the business frustrated and overwo
 rked. In this session, I will demonstrate how my Data Governance team&rsquo
 ;s frictionless approach uses a data quality pilot to identify sources of g
 rowth and makes a case for Enterprise Governance and stewardship. By embedd
 ing ourselves in existing processes and applying a plug-and-play model of a
 ctivities, we implement governance from the ground up. These small wins enh
 ance commitment and ultimately build big buy-in when presented as a package
  to executives. To illustrate our approach, I'll highlight a finance-re
 lated use case through which we piloted our holistic offering, including:\n
 \n
 Insight: Marrying Python and Power BI to collect data quality rules and pub
 lish actionable scorecards\n
 Foresight: Utilizing an Adastra solution to extract terms and definitions f
 rom internal policies to encourage collaboration and deepen relationships\n
 Oversight: Leveraging Collibra catalog and workflow functionality to e
 nsure fit-for-purpose reporting and traceability\n\n
DTSTART:20221207T134500
SUMMARY:A Business-Friendly Approach to Data Governance and Quality
DTEND:20221207T142959
LOCATION: See Description
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