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DESCRIPTION:Click for Latest Location Information: http://dgiq-aigov2026.da
 taversity.net/sessionPop.cfm?confid=166&proposalid=16818\nEvery organizatio
 n is told to think in data products. Few can answer the first question: whi
 ch ones? This session shares the method used at Xcel Energy, a regulated ut
 ility, to find data products hiding in plain sight, and it starts with gove
 rnance foundations, not a platform purchase.\n\nYou will see the full journ
 ey: establishing the ownership, stewardship, and classification groundwork 
 that makes products trustworthy, overlaying business capability maps to sur
 face shared data needs no single function owns, applying a seven-characteri
 stic test that separates real products from datasets and dashboards, and us
 ing AI to accelerate the unglamorous work of metadata, classification, and 
 data contract drafting. Our case study: Active Customer Counts, a question 
 every department answered differently, rebuilt as our blueprint data produc
 t with data contracts living in the lakehouse, certified once and consumed 
 everywhere. You will leave with a facilitation sequence, scoring rubric, bl
 ueprint anatomy, and a 90-day roadmap sized for any organization.\n\nKey Ta
 keaways:\n\n
 Lay the governance foundations first: data ownership, stewardship, and risk
 -based classification are what turn a dataset into a product someone can tr
 ust\n
 Overlay your business capability map to surface data product candidates whe
 re multiple capabilities share an unmet data need that no single function o
 wns\n
 Apply a seven-characteristic test to distinguish genuine data products from
  datasets, reports, and dashboards\n
 Walk through the anatomy of a real blueprint data product, including data c
 ontracts, certification, and lakehouse delivery, lessons that translate to 
 any architecture\n
 Use AI to accelerate identification and delivery, from metadata enrichment 
 and classification to drafting data contracts, without surrendering steward
  accountability\n
 Take home a facilitation sequence, scoring rubric, and 90-day starter roadm
 ap that requires workshops and existing tools, not new investment\n\n
DTSTART:20261118T093000
SUMMARY:Where Are Your Data Products Hiding? A Governance-First Method for 
 Any Industry and Budget
DTEND:20261118T101459
LOCATION: See Description
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