Million Dollar Baby revolutionized its finance, sales and marketing operations with Sigma on Databricks. After ditching manual Excel extracts, MDB teams now build interactive AI Applications on live warehouse data. This allows non-technical users to perform granular analysis on billions of rows of manufacturing and financial data via a familiar spreadsheet interface, reducing the burden on IT and accelerating time-to-insight.

Sigma’ s AI Applications empower these users to embed AI across their workflows— from natural language querying to building custom agents. Unlike traditional BI tools, Sigma has enabled the creation of multi-step agentic workflows that automate complex business processes. Natively woven into the workspace, Sigma AI Applications interact directly with Databricks, ensuring“ human-in-the-loop” verification and highfidelity outputs for every decision. Critically, this AI scales safely by inheriting Databricks Unity Catalog security. Every AI interaction respects existing row-level permissions, eliminating“ shadow AI” risks and data silos.

For Million Dollar Baby, the partnership between Sigma and Databricks has turned AI into an everyday operational reality. Finance, sales and marketing departments use self-built Sigma AI apps to drive deeper business awareness and faster decisionmaking. Daniel Rivera, Sr Mgr, BI has quantified these benefits.“ In finance alone, we’ ve cut 100 + hours per month of repetitive work. More importantly, 80 % of that time is now spent on highervalue activities like digging into insights, planning, or forecasting.” Utilizing Sigma’ s no-code interface, users previously“ stuck in Excel” can now explore live, cloud-scale data and build AI Applications without SQL or Python expertise, IT intervention, or creating new infrastructure sprawl.