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DESCRIPTION:Click for Latest Location Information: http://dgiq-aigov2026.da
 taversity.net/sessionPop.cfm?confid=166&proposalid=16806\nIn this session, 
 Sheetal Nayyar, Senior Manager of Data Governance at Philip Morris Internat
 ional, introduces the concept of a Data Quality Control Tower: a structured
  monitoring framework that gives data governance teams centralized visibili
 ty into the health of enterprise data across sources, domains, and business
  functions.\n\nDrawing directly from her work monitoring product and retail
  store data across multiple external vendor feeds at a Fortune 500 global e
 nterprise, Sheetal will walk through how she designed the framework, define
 d data quality rules and thresholds, structured stewardship accountability,
  and built the KPIs and executive dashboards that keep leadership informed.
 \n\nAttendees will leave with:\n\n
 A repeatable framework for designing a data quality monitoring program acro
 ss external data sources\n
 Practical guidance on defining business rules, completeness thresholds, and
  timeliness SLAs that actually get enforced\n
 A proven escalation and issue resolution model — from alert to accoun
 tability\n
 An executive reporting approach that makes data quality visible to leadersh
 ip without drowning them in detail\n
 Honest lessons learned: what broke, what was harder than expected, and what
  she'd do differently\n\nThis session is ideal for data governance prac
 titioners, data quality leads, and program managers responsible for monitor
 ing enterprise data at scale — especially those dealing with external
  data sources and cross-functional stewardship.\n
DTSTART:20261118T093000
SUMMARY:The Data Quality Control Tower: Monitoring Enterprise Data at Scale
DTEND:20261118T101459
LOCATION: See Description
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