To take full advantage of AI, you need a strong foundation. That means knowing where your data lives, whether it’s high quality, and how it’s structured. We help you build a clear data and AI governance strategy that makes it easy to prioritize the right use cases, get them into production, and drive real business results.
Data Governance
You Have 200 AI Use Cases. Where Do You Start?
Governance as a Business Driver
Governance isn’t just about compliance—it’s about making data a strategic advantage.
Our approach helps organizations build the people, processes, and platforms needed to take control of their data. We align your governance strategy with your AI and analytics goals so you can scale innovation with confidence.
Focus Areas
Data Quality & Observability
Ensure your pipelines are healthy, reliable, and delivering trusted data—especially in dynamic environments like Databricks.
Data Discoverability, Cataloging, & Lineage
Help teams find, understand, and trust data by making it searchable and traceable across your systems.
Data Privacy and Security
Protect sensitive data and meet regulatory requirements without slowing down innovation.
Data Product Management & Marketplaces
Curate data like a product to streamline reuse, accelerate delivery, and scale your impact.
AI Governance Maturity & Readiness
Assess where you are today and define what’s needed to move from AI use cases from experiments to production.
AI Governance Implementation
Put the tools, controls, and processes in place to govern AI responsibly—without bottlenecks while maximizing business value.
Databricks Unity Catalog: Our Data Governance Platform of Choice
As the unified governance layer for Databricks, Unity Catalog is core to how we help customers manage access, policies, lineage, and quality across their data estate.
Featured Insights
