Challenge
Today’s financial institutions are drowning in data — yet starved for trust in it.
Poor data quality, fragmented ownership, legacy tooling, regulatory scrutiny, and the sheer volume of change (cloud, AI, real-time risk) mean that what should be an asset becomes a liability.
Board reporting is questioned. Regulatory responses are delayed. Strategic decisions get second-guessed.
You don’t just need better data — you need enterprise-wide governance that’s pragmatic, operationalized, and built for accountability.
Our Strategy
At Wyman Advisory, we help organizations shift from reactive data management to proactive data governance.
Our approach includes:
Clear data ownership frameworks tied to operating models
End-to-end governance structures covering data lifecycle (DQIM)
Control testing & assurance overlay
Alignment with BCBS 239, GDPR, local data privacy and supervisory expectations
Practical tooling assessment — Excel to MDM to AI pipelines
Integration with Risk, Finance, Compliance, and IT stakeholder needs
Culture shift through roles, stewardship, and adoption workshops
We don’t install shelfware. We embed controls, behaviors, and metrics into your business fabric.
Impact
Clients that implement our enterprise data governance strategy typically achieve:
✅ 40–60% reduction in regulatory reporting rework
✅ 90%+ traceability across critical data elements
✅ Confidence in Board packs and RCSA narratives
✅ Audit-ready data control attestations
✅ Strategic clarity on what data matters — and who’s responsible for it
Our work gets noticed not just by auditors and regulators, but by the business.
Where We’ve Helped
Global bank: Implemented a Data Governance Office and federated model across 5 divisions, delivering governance of 200+ critical data elements in under 6 months
Wealth management firm: Enabled alignment of client data across CRM, onboarding, and AML systems, reducing onboarding lag by 30%
Fintech: Built lightweight control and data accountability model ready for regulatory scale-up