The Data Governance Effect: An exploration into the foundations and future of data collaboration

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Claims that COVID compresses five years of digital adoption into about eight weeks (McKinsey) and that analytics projects fail >75% of the time (Gartner/Cisco/Deloitte) set the stakes. A concrete stack is described: Data Republic’s Senate platform plus a data sandbox that lets Westpac run 20 DataRobot pilots in hours not months (one winner covers the rest), and a patent-pending Senate Matching privacy-preserving linkage for ad and B2B matches. Time-to-data drops by 93% on average under the seven-controls governance model.

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" chapters (22)

1. 0:00Introduction and speaker intro
2. 1:08Pandemic’s impact on data collaboration
3. 3:55Data quality and minimization principles
4. 6:21Data sensitivity and open data libraries
5. 7:28Enterprise data collaboration explained
6. 9:15Internal data access limitations
7. 10:38Legal and trust barriers in data sharing
8. 11:20Rise of the chief data office
9. 13:06Seven safes governance framework
10. 15:11High failure rates in data projects
11. 16:35Data monetization and self-assessment
12. 17:37Key pillars for successful collaboration
13. 19:02Right data over more data
14. 20:24Project orchestration and pitfalls
15. 22:08Future possibilities with data exchange
16. 24:56Future trends in data collaboration
17. 27:45Consumer consent and data rights
18. 28:28Data Republic’s technologies
19. 29:33Q&A session begins
20. 30:14Data governance and cybersecurity
21. 31:18Integrating legal and HR into governance
22. 33:43Closing remarks and contact info