Case Study: Wohlig cuts data ops costs and accelerates reporting with Hevo Data

Wohlig delivers business reports to its client while optimizing data ops cost using Hevo

Wohlig, an India-based IT services and technology consulting firm, needed a better way to help its fantasy sports client build an analytics division, generate business reports, and understand user behavior across the platform. The team wanted to centralize product and business data while reducing the operational burden of managing schema changes and data pipelines.

Using Hevo Data, Wohlig mirrored data from MongoDB to Snowflake and connected Power BI to Snowflake for self-serve reporting. Hevo Data also enabled Wohlig to shift 40+ production product API calls from MongoDB to Snowflake, cutting data ops costs by 20% and avoiding the need to hire 15 engineers for schema management, while maintaining 99.9% data accuracy and low-latency access.

Wohlig

Darsh Murarka

Data Analyst