Ready for AI: How TPG Built a Smarter Analytics Architecture

The Planet Group partnered with Launch to overhaul its fragmented reporting systems and manual processes. The result: a scalable, AI-ready analytics platform built on a unified data warehouse and star schema models—enabling trust, self-service, and speed.

The Challenge

The Planet Group, a leading staffing and workforce solutions provider, was operating with a raw Snowflake data environment that fed directly into Power BI reports—without standardized modeling or governance. Business users received different numbers from different reports, creating confusion, duplicated effort, and a deepening lack of trust in the data.

Even experienced BI professionals were spending excessive time manually transforming and maintaining reports. And with only a small BI team fielding all reporting requests, business users faced long delays—often weeks—to access insights. The organization needed a modern, scalable analytics solution that enabled data confidence and self-service across teams.

The Solution

Launch stepped in to architect a dimensional data warehouse and design star schema models tailored for Power BI. These models standardized reporting logic across the enterprise and eliminated the manual rework previously done at the visualization layer.

The result was a governed, scalable analytics environment that supported both enterprise-wide self-service and deep BI team analysis. Launch also ensured the architecture aligned with Microsoft Fabric's capabilities—positioning The Planet Group to take full advantage of generative AI for natural language querying and future innovations.