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

Mitsubishi Electric cuts analytics delivery time by 60% with Dataiku

Mitsubishi Electric, a global electrical equipment manufacturer, faced challenges with fragmented, slow, and difficult-to-scale data analytics and GenAI projects. Their previous manual workflows and disconnected tools limited decision-making across the enterprise. To overcome this, they turned to Dataiku, The Universal AI Platform, to serve as a foundational component of their Serendie digital ecosystem.

By implementing Dataiku, Mitsubishi Electric consolidated data ingestion, preparation, modeling, and visualization into a single unified platform. This solution enabled a 60% reduction in time to produce analysis outputs and an 80% reduction in time needed for data visualization. Dataiku also facilitated the scaling of generative AI, including building a RAG system for failure response, and helped complete a year's worth of thermal energy analysis in just 20 days.

Mitsubishi Electric