Broken architecture leaves data users in a constant fight against untrustworthy BI stacks and new systems that add complexity and compound data silos.

Modern analytics only works when data, semantics, dashboards and AI live on one governed platform — like the Databricks Platform.

This compact guide shows how lakehouse, Unity Catalog and native AI/BI can reduce duplicate logic, improve metric consistency and create a simpler, self-service experience.

You’ll learn how to:

• Use metadata-driven approaches for stronger datasets and data engineering
• Close the gap between tools and teams for a more seamless analytics experience
• Accelerate real-time insights and boost flexibility with AI-powered dashboards
• Ask your data questions in plain language and get analytical answers