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DESCRIPTION:Click for Latest Location Information: http://dgiq-aigov2026.da
 taversity.net/sessionPop.cfm?confid=166&proposalid=16799\nMost organization
 s say they value transparency, equity, and data-driven decision-making&mdas
 h;yet their operational data practices tell a different story. This session
  introduces the data culture gap: the disconnect between what organizations
  say they value and how data is actually defined, governed, and used.\n\nDr
 awing on critical data studies and hands-on governance experience, this ses
 sion challenges one of the most persistent myths in data management: that b
 etter tools will fix broken outcomes. They won't. Because governance do
 esn't succeed or fail based on technology. Success (or failure) comes d
 own to how power, accountability, and decision rights are designed into a s
 ystem. Governance is about people: making definitions explicit, decisions v
 isible, and accountability unavoidable.\n\nAttendees will leave with a prac
 tical mental model for diagnosing why governance efforts stall, and how to 
 design systems where data practices are intentional, transparent, and align
 ed to real-world consequences.\n\nKey takeaways:\n\n
 Why "data-driven" organizations still produce inconsistent outcom
 es, and what's actually going wrong\n
 How power, definitions, and decision rights quietly shape your data, and wh
 at to do about it\n
 Why opacity, not complexity, is the root cause of most data governance fail
 ures\n
 What it takes to operationalize transparency and accountability in practice
 \n
 How to reframe governance as the execution layer of strategy, not a complia
 nce exercise\n
DTSTART:20261117T134500
SUMMARY:Mind the Culture Gap: Why Good Data Starts with Hard Questions
DTEND:20261117T142959
LOCATION: See Description
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