Talk to your data: AI-powered conversational analytics with the dbt MCP server
Blog post from dbt
Norlys, Denmark's largest energy and telecommunications group, faced the challenge of rebuilding its analytics infrastructure following a major acquisition and organizational split, opting to leverage the dbt Model Context Protocol (MCP) Server to place AI-powered conversational analytics at the forefront of their strategy. The company aimed to consolidate over 500 disparate business intelligence solutions into a singular data platform, defining canonical business metrics centrally using dbt's Semantic Layer to ensure consistency and clarity across its data landscape. By focusing on a metrics-first approach, Norlys systematically defined core metrics and utilized a structured context that supports reliable AI applications, which was demonstrated through a successful proof-of-concept in the finance domain. This foundational work allowed the organization to build a flexible framework for conversational interfaces, enhancing user interactions and enabling rapid, accurate data-driven insights. The partnership with AI and data consulting firm Leap facilitated the development of best practices and architectural blueprints, ensuring sustainability and consistency across their data engineering initiatives. Norlys envisions the conversational analytics capability as a complementary tool to traditional BI, capable of evolving into a "personal mission control console" for proactive data engagement and action-taking, while their structured approach serves as a useful model for other organizations navigating the evolving landscape of AI-driven analytics.
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