The company
Mitsubishi Electric
mitsubishielectric.comManufacturer of electrical and electronic equipment for industrial and consumer markets.
The story
A global manufacturer of electrical equipment and systems launched a company-wide digital ecosystem to centralize data value creation across its diverse business units.
Analytics efforts were fragmented and slow due to manual workflows and disconnected tools that restricted insights to isolated silos. This lack of integration prevented the organization from scaling capabilities or enabling collaboration between technical experts and business users.
The organization established a unified analytics layer alongside Snowflake to consolidate data ingestion, modeling, and reporting within a single environment. Cross-functional teams now collaborate on projects ranging from thermal energy optimization using AutoML to a GenAI system that retrieves failure response history for troubleshooting. This architecture allows domain experts to participate through code-free workflows while engineers manage complex pipelines in the same workspace.
Scope & timeline
- 80% faster data visualization vs Python
- 60% faster analysis output generation
- 40% less time on system documentation
- Annual thermal analysis in 20 days
Quotes
“By linking the data stored in Snowflake with Dataiku, we are creating a system that allows a wide range of people at our company to analyze the data.”