The project translated a manual Excel-based control process into a centralized monitoring solution for delayed retail reporting. Working closely with business stakeholders, the team standardized the logic for identifying late registrations, integrated manually maintained category information into the governed data flow, and structured the reporting around the most relevant quality views. Users could analyze vehicles reported more than five working days late, review recent reporting-speed patterns over several weeks, and access defined snapshots for targeted validation. The result was a repeatable and auditable monitoring approach that embedded data-quality checks directly into the reporting process.
