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