Case Study: Bluemercury achieves unified metrics and governed self-service analytics with AtScale

How Bluemercury Unified Business Metrics and Scaled Self-Service Analytics with AtScale’s Semantic Layer

Bluemercury, a luxury beauty and skincare retailer, needed a better way to manage fragmented data and conflicting business metrics across finance, marketing, and store operations. Different teams were using separate systems and definitions for key KPIs, which led to inconsistent reporting, weak data governance, and limited self-service analytics. The company partnered with AtScale and its semantic layer to create a more unified data foundation.

AtScale implemented a governed semantic layer to standardize metric definitions, improve access control, and enable self-service reporting in Power BI and Tableau. The result was a single source of truth for core metrics like net sales, gross sales, and margin, with 80% of enterprise data integrated into the semantic layer and full coverage expected within six months. Bluemercury also reduced reporting bottlenecks, improved trust in business intelligence, and established an AI-ready data foundation for future GenAI and LLM use cases.

Bluemercury

Praful Deshpande

Managing Director of Data and Technology