Data Governance: Building Decision Confidence and Regulatory Readiness

Join us for an online webinar on how modern data governance helps organizations move from data chaos to decision confidence, AI readiness, and stronger regulatory resilience.

Data governance is no longer just a compliance checkbox. For regulated and fast-growing organizations, it has become a business capability that directly affects decision speed, trust in reporting, operational risk, and the ability to scale AI safely.
During this session, we will look at what “real” governance means in practice — not as a documentation exercise or a technology purchase, but as a system of ownership, decision rights, quality controls, evidence, and operating routines that help businesses trust their data when it matters most.

Agenda

11:00–11:05 — Welcome and opening
A short introduction to the topic and why data governance has become urgent for organizations working with AI, reporting, and regulatory pressure.

11:05–11:45 — From data chaos to AI advantage
Data governance has evolved from a compliance checkbox to a critical business capability. Organizations across financial services, healthcare, and industrial sectors now recognize that ungoverned data creates measurable business risk: delayed decisions, regulatory exposure, blocked AI initiatives, and replicated chaos in system modernization efforts.

11:45–12:00 — Q&A
A live question-and-answer session with the speaker.

Key topics we will cover

• Why governance should be framed as decision confidence, not just compliance
• How inconsistent KPIs, unclear ownership, and manual reconciliation create business risk
• Why AI initiatives require strong data quality, lineage, classification, and accountability
• What a practical data governance maturity model looks like
• What organizations can realistically achieve in the first 6 months
• Common pitfalls that make governance programs fail
• How to start with a bounded, evidence-based diagnostic instead of a large, open-ended transformation

Speaker
Anton Maidan, Chief Delivery Officer at Andersen, will share practical insights on how organizations can build scalable, evidence-based data governance capabilities that support business decisions, regulatory expectations, and AI initiatives.