Automobile manufacturer
Cloud analytics unlocks vehicle data worldwide for R&D and quality management
Starting point
- Holistic analysis of vehicle data: The foundation for a quantum leap in development and quality management
- Billions of datasets – Massive Data – must be decoded, enriched, and analysed
- Traditional technologies and approaches are overwhelmed
- Systematic use of vehicle data requires powerful cloud analytics, machine learning, and advanced visualisation
Procedure
- Design thinking workshops with deep domain knowledge and technical expertise define an innovative cloud target architecture
- Agile development of a high-performance Spark workflow with cloud analytics & AI platform Databricks in Azure
- Auto-optimisation of AI and control of the machine learning lifecycle with ML Flow
- Implementation of a self-service visualization platform based on Tableau
Features/Project outcome
- Parallelised cloud processing ensures the high-performance and effective ad-hoc analysis of all data
- Raw data from the entire global fleet can be processed at high speed and enhanced with additional information
- Cross-cutting analyses reveal previously hidden correlations
Customer benefits
- The car manufacturer can utilise all available data – across models – for product improvement and development through cloud analytics
- Error and root cause analysis now take only a few days instead of the previous six to eight weeks
- Product quality increases while the effort for analysis in development and quality management decreases
- Holistic analysis ensures a competitive edge as an innovation and paves the way for new business models

Marco Bruno | Senior Manager / Authorised Officer