Case Study: Innowatts achieves sub-second energy analytics and 40% forecast accuracy gains with Imply Druid

Innowatts provides AI-driven analytics for the power industry

Innowatts, a provider of an AI-driven analytics SaaS platform for the utility and energy retail industry, faced the challenge of processing massive, near-real-time data from over 40 million meters to deliver actionable business intelligence. To achieve the sub-second query performance needed for their application, they chose to implement Imply and use Apache Druid as their analytics database.

By building their platform on Imply's technology, Innowatts gained the ability to quickly work with massive datasets and provide sub-second query response times. This allows them to scale their Druid cluster efficiently for daily data ingestion and deliver rapid BI innovation to their clients. The solution from Imply helped Innowatts' customers achieve a 40% improvement in forecast accuracy, enhance customer lifetime value by $3,000 per customer, and avoid $4 million in operational costs.

Innowatts

Daniel Hernsndez

Senior Software Engineer