Data Mesh Solution Using AWS Lake Formation
Facing ESG requirements and substantial cost pressures in the automotive industry, Volkswagen Financial Services AG was looking for ways to make its operations more efficient.
faster data access and data transfer
your data architecture and achieve an enhanced data governance and meta data management
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Business Case
The automotive industry is currently under immense cost pressure as it tries to integrate innovative ways to reduce operating costs and become overall more efficient. Â Sustainability is another significant concern since it not only requires additional investments, but it also compels companies to comply with ESG requirements and reporting standards.
One of the largest automotive manufacturers needed a precise and effective solution to respond to sustainability and cost efficiency demands by the manufacturer. The hope was that the solution would minimize entry costs for sustainability efforts in parallel to cost reduction.
Solution
Volkswagen Financial Services AG is working with Adastra as an experienced partner to enhance their current data architecture in accordance with the principles of Data Mesh. Specifically designed templates are used to create data products and data domains as part of the Data Mesh approach. We support our client to take initial steps toward integrating Data Mesh into their existing solutions using AWS Lake Formation.
Achieving a full-scale, coherent Data Mesh architecture with compatible systems requires commitment and time. For this reason, Adastra provides consultancy for Data Mesh architecture and helps carry out implementation to ensure scalability and promote a smooth transition from currently established solutions. Our solution represents one of the first implemented use cases to consider remarketing data and providing information about sales data in a standardized interface.
As a global consultancy company, Adastra has in-depth knowledge and experience to provide key solutions to facilitate Data Mesh transformation processes. Thanks to our dedicated and specialized experts, we support our clients to shape their target architecture.
Benefits
- Significant increase in overall data accessibility and quality.
- Quicker data delivery and enhanced data governance.
- More accessible data for multi-purpose usage.
- Ability to provide better cost transparency and cost efficiency.





