Case Study: Mitsubishi Electric accelerates analytics delivery and scales GenAI with Dataiku

Mitsubishi Electric accelerates analytics delivery by 60% with Dataiku

Mitsubishi Electric, a global electrical equipment manufacturer, aimed to become a data-driven company but faced challenges with fragmented, slow, and difficult-to-scale analytics. Manual workflows and disconnected tools limited decision-making and prevented enterprise-scale AI adoption. To overcome this, they turned to the vendor Dataiku and its Universal AI Platform.

With Dataiku, Mitsubishi Electric consolidated data processes into a unified platform. This enabled collaboration between experts and non-experts and integrated with their Snowflake data ecosystem. Results included a 60% acceleration in analytics delivery, an 80% reduction in visualization time, and the ability to complete a year-long thermal energy analysis in just 20 days. Dataiku also facilitated scaling GenAI, such as building a RAG system for failure response.

Mitsubishi Electric