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DESCRIPTION:Click for Latest Location Information: http://dgiq-aigov2026.da
 taversity.net/sessionPop.cfm?confid=166&proposalid=16726\nMany organization
 s invest in data quality rules but struggle to turn results into action. We
  saw this directly supporting Medicare enrollment campaigns and broker perf
 ormance tracking, where data arrives on different cadences and cannot be la
 te, missing, or incorrect without impacting file submissions, campaign exec
 ution, and reporting.\n\nWe focused on making data quality visible, actiona
 ble, and clearly owned. We implemented layered monitoring – freshness
  checks, reconciliation across source and target, fallout reporting, and fi
 eld-level validation – paired with dashboards and targeted alerts to 
 business and IT so issues are identified and acted on quickly.\n\nThis shif
 ted data quality from passive reporting to active response, reducing time t
 o detect and resolve issues and strengthening accountability. This directly
  improved the timeliness and reliability of critical business processes, in
 cluding file submissions and campaign reporting, while reducing audit risk.
 \n\nWhat Attendees Will Learn: \n\n
 How to design monitoring that reflects real business risk (freshness, recon
 ciliation, fallout – not just rule counts)\n
 How to make data quality visible and actionable through dashboards and targ
 eted alerts (so issues get picked up and acted on)\n
 How to drive clear ownership across business and IT so issues don’t s
 it unresolved\n
 How to reduce the time to detect and resolve issues without adding manual o
 verhead\n
 Where data quality efforts break down at scale, and how to fix gaps early\n
 \n
DTSTART:20261118T083000
SUMMARY:From Monitoring to Action: Making Data Quality Deliver Business Res
 ults
DTEND:20261118T091459
LOCATION: See Description
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