Client Spotlight: How EMC Insurance Uses MCP to Operationalize AI

We take a behind-the-scenes look at how EMC Insurance 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.

EMC’s MCP use cases include:
* 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.
* Claims operational reporting: 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.

Timestamps & Topics
00:00 - Welcome and Intros
00:02:35 - What is MCP and how it helps organizations operationalize AI
00:11:07 - Interview with Rob with EMC Insurance
Question #1: What challenges were you facing, and how did you land on MCP as a solution for the organization?
00:16:21 - Question #2: How are you leveraging MCP to accelerate your migration to dbt?
00:20:06 - Question #3: How was MC used for your other use cases: claims operations, semantic model analysis, and data lineage.
00:26:01 - Question #4: What are some emerging projects or ideas that you're excited to leverage MCP, or AI in general, for in 2026?
00:28:35 - Starting point and prerequisite for organizations looking to leverage MCP
00:31:31 - Analytics8 MCP Framework Demo
00:45:25 - Key takeaways and how to succeed with MCP

Additional Resource:
[Research Report] Best Practices for Excelling with AI and Advanced Analytics: https://www.analytics8.com/a8-special-research-report-best-practices-for-excelling-with-ai-form/

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Видео Client Spotlight: How EMC Insurance Uses MCP to Operationalize AI канала Analytics8