Panel: Making The Most Of Data Governance
summary
Panel shows practical governance steps: run automated discovery (vendor example finds 400 credit card numbers in minutes) rather than manual Excel trawls, pick a modular tool like OneTrust as an accelerator not a cure, and size scope by business criticality so regulatory KPIs get priority. Expect wins such as cutting a regulatory report from six days to 20 minutes, but plan for 18–24 months per maturity level and budget ongoing BAU and change management focused on people, process, technology.
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chapters (11)
- 0:00Introduction and panel setup
- 1:02Panelist introductions
- 4:13Defining data governance
- 8:46Prioritizing data governance efforts
- 13:44Role of tools in data governance
- 21:02Expected benefits of data governance
- 28:46Biggest challenges in data governance
- 36:28Q&A: Transitioning to modern governance
- 41:10Q&A: Keeping stakeholders engaged
- 44:03Q&A: Three key elements of data governance
- 45:26Closing remarks and next steps
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