01Business problem
Multiple ETL extractions on several legacy technologies made the reporting environment hard to control and its performance unpredictable. Every new data need required a bespoke technical build, which slowed delivery and inflated cost.
02Intervention
We defined a path towards a data mesh architecture and implemented it step by step, with the flexibility to add new domains such as warranty, sales and products as they proved their value.
03Role of data & AI
Common data governance enforced through a data catalogue, and a data marketplace with access control, so the environment scales while remaining trustworthy for reports, automation and AI. Built purpose-fit for predictable, reliable delivery.
04Adoption
New customer, dealer and external sources are added without rework. Business teams find and use data products through the marketplace instead of requesting extractions.
05Measurable impact
A flexible, scalable architecture that replaced point-to-point integrations with a reusable foundation supporting reports, automation and AI at scale.