Client Spotlight: How EMC Insurance Uses MCP to Operationalize AI

Join Analytics8 and EMC Insurance for a behind-the-scenes look at how EMC applied the Analytics8 Model Context Protocol (MCP) framework to securely connect AI tools to enterprise data—cutting complex data management initiatives from months to minutes and achieving measurable returns on AI investments.

What You’ll Learn:

• How MCP makes your data environment “AI-ready” without custom integrations, security risks, or manual hand-offs—and where MCP fits within the modern data stack
• How ​EMC is using the Analytics8 MCP framework to demonstrate significant ROI:
  • Large scale dbt migration: EMC converted 130 SQL views from Denodo into ~1,000 dbt models in Snowflake, reducing a previous year-long ETL migration effort to just one month.
  • FP&A semantic model analysis: EMC reconciled more than 1,600 financial metrics across Power BI reports, identified inconsistencies, and established a single source of truth.
  • Data discovery and lineage: EMC now has instant access to lineage, logic, and metadata across 45,000+ EDW objects — with each query returning results in under a minute.
• How the Analytics8 MCP framework accelerates the setup and foundational work necessary to leverage MCP in your data ecosystem.

Who Should Attend:

Data leaders and IT decision-makers responsible for data platform modernization, AI enablement, and analytics governance — especially those seeking to accelerate complex data management initiatives and prove business impact from AI investments.

​On the Panel:

• Kevin Lobo, EVP of Consulting at Analytics8
• John Bemenderfer, Principal Consultant and AI Leader at Analytics8
• Rob Vicker, Data Analytics Architecture Director at EMC Insurance