Initializing System...
Initializing System...
Replacing manual reports with dashboards people actually use.
A disconnected reporting landscape converted into a shared business intelligence layer, standardising KPI definitions, reusable DAX measures, and dashboard logic for more consistent decision-making.
Analytics
Teams were reliant on manual spreadsheet reporting, leading to inconsistent metric definitions across different groups. The lack of a centralized data foundation made it difficult for leadership to access self-service answers or ensure calculation consistency.
A commercial team environment with multiple stakeholders — leadership, managers, and individual teams — all needing different views of the same underlying data. The existing process was Excel-heavy, error-prone, and difficult to audit.
A centralised semantic layer and reporting suite designed to reduce conflicting manual spreadsheets. By standardising KPI definitions and reusable DAX measures, the system creates a more reliable source of truth for decision-making.
A semantic layer built in Power BI with a shared metric library, fed by automated Power Query transformations from source Excel files and database exports.
The best dashboard is one people actually open every morning. Focused on clarity, speed, and answering the questions stakeholders were already asking — not inventing new ones. Ran discovery sessions with each stakeholder group to understand their actual decision workflow before designing anything.
The core challenge was the metric inconsistency problem — the same KPI calculated differently by different teams. Solved this by defining a canonical DAX measure library centrally, then using those measures everywhere. Power Query transformations were documented as named queries, not anonymous M code, making them auditable and maintainable.