The use of data as a strategic competitive advantage poses major challenges for many industrial companies - especially when information is distributed across numerous, non-integrated engineering systems.
A leading automotive OEM faced exactly this situation: data was available, but not in the required quality, speed and connectivity to realize modern, AI-supported use cases.
The challenge
- Distributed data landscapes across numerous engineering systems
- Lack of integration and limited real-time availability
- High requirements for future AI and data-driven use cases
- Need for a scalable, future-proof data architecture
The aim was to develop a consistent data strategy and a sustainable architecture that makes data usable as a company-wide value driver.
The solution approach
We provided the client with holistic support - from the strategic concept to managing the technical implementation:
Developing a data strategy Definition of target image, governance and usage scenarios for a company-wide database.
Design enterprise data architecture Conception of a modern data fabric architecture as the technical backbone of the data strategy.
Enable standardized data integration Development of a generic connector concept for the flexible connection of heterogeneous source systems.
Control implementation Support and management of the technical implementation in close coordination with the business and IT departments.
For the technical implementation and operation of individual components, KIINNO AG was involved as an implementation partner as required.
The solution: Data Fabric as a central connective tissue
At the center of the solution is a data fabric that acts as a connecting layer between existing systems and offers the following advantages:
- Real-time capable integration of engineering data
- Uniform data access layer for different applications
- Basis for AI-supported use cases and advanced analytics
- Scalable and future-proof architecture
Added value for the customer
Transparent data landscape Access to relevant information across system boundaries.
Accelerated innovation Faster implementation of data-driven and AI-based use cases.
Standardized integration Reduced integration effort thanks to standardized connector logic.
Strategic foundation for growth A resilient data architecture as a foundation for future developments.
Our strength in the industrial environment
We have been supporting companies in the automotive and supplier industry with data-intensive transformation projects for many years. Topics such as the digital factory, Industry 4.0 and modern logistics and purchasing processes are an integral part of our expertise.