Data Modeling Reimagined: Mosaic Studio

Data Modeling Reimagined: Building AI-Ready Analytics with Mosaic Studio 

Fragmented data slows everything down—conflicting dashboards, manual reconciliations, and metrics no one fully trusts. As organizations race to deploy AI agents and copilots, that inconsistency becomes a liability. AI is only as reliable as the governed data behind it.

In this hands-on workshop, you'll see how Strategy Mosaic's Universal Semantic Layer creates a single, trusted source of metrics that both human analysts and AI agents can query consistently. Using Mosaic Studio, our AI-driven, code-free modeling workspace, you'll combine data from multiple sources—files, cloud databases, and existing models—into a governed dataset in minutes, then analyze it in an interactive dashboard.

Along the way, you'll discover how AI accelerates data preparation, metric creation, and metadata localization; how row- and object-level security travel with the model itself; and how the Model Context Protocol (MCP) lets agents like Claude securely query your governed metrics—honoring the same permissions your people have.

What you'll learn:

• How a Universal Semantic Layer eliminates data chaos and powers trustworthy AI
• Building a governed Mosaic model from multiple sources without writing code
• AI-assisted data cleaning, metric creation, and hierarchy modeling
• Applying enterprise-grade security and translations that stay with the model
• Connecting governed metrics to BI tools and AI agents via MCP

Who should attend: Data analysts, BI developers, and analytics leaders looking to make their data AI-ready without costly re-architecture