Discovery
Clarify the goal, users, constraints, current systems, success measures, and delivery risks.
Data & Reporting
Operations reporting rebuilt as a Power BI dashboard on top of the existing sales and stock data, replacing a monthly workbook that four people maintained by hand.
The report was accurate but expensive: a month of copy-paste, four versions of the same file, and no way to answer a question mid-month without rebuilding half of it.
Agreed the star schema before drawing anything: transactions in the fact, product, party and date as dimensions, and the definitions written down once.
Moved the manual formulas into the model, so a change in a business rule is one edit rather than a hunt through cells.
Built the views around decisions — margin by product line, movement by depot, ageing by party — instead of a wall of KPI tiles.
Set an explicit refresh schedule and a data-quality check that fails loudly when a day is missing.
Mid-month questions get answered in the dashboard rather than in a queue behind a spreadsheet owner, and the monthly workbook became a monthly review.
Clarify the goal, users, constraints, current systems, success measures, and delivery risks.
Choose the right structure, integrations, data model, security boundaries, and technology stack.
Map important journeys and responsive states before expensive decisions are locked in.
Build in reviewable milestones with clean code, documented decisions, and visible progress.
Validate functionality, performance, accessibility, security, and production readiness.
Monitor real use, resolve issues, and prioritize improvements using evidence.
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