Gather, Govern, & Empower Your Data

Gather, Govern, & Empower Your Data
A data management playbook for trusted data across analytics, agentic AI, and compliance.

Most organizations want to be data-driven and AI-enabled. Far fewer can answer a simpler question with confidence: what does our own data actually say? Finance reports one revenue number and Sales reports another. Dashboards disagree. AI pilots stall because no one trusts the data underneath them. The problem usually isn’t a missing tool. It’s a missing path from raw data to trusted, shared answers.

This session introduces Gather, Govern, & Empower Your Data, a practical playbook mapped to the DAMA-DMBOK framework. It walks through how to take scattered source data and turn it into certified data products and data marts, so that executives, analysts, and AI agents all work from the same trusted insights.

What you’ll learn

Gather: How to bring raw source data together through a repeatable ingestion and integration approach, with metadata captured from the start rather than added later.
Govern: How to put ownership, data quality, and definitions in place without slowing delivery, so shared terms like “customer” or “revenue” mean the same thing everywhere.
Empower: How to publish certified data products and data marts that business users can use on their own and AI agents can safely draw on.
DMBOK in practice: How each stage connects to familiar DMBOK knowledge areas, giving you a common language for explaining the work to leadership and IT.

Who should attend
Data and analytics leaders, data governance practitioners, BI and data engineering teams, and business stakeholders who are tired of reconciling numbers and want a clear, practical way to build a data foundation they can trust for AI.

Key takeaway
AI readiness depends on trust in the data underneath it. You’ll leave with a framework you can apply right away to move your organization from conflicting reports to one certified version of the truth.