Challenge
Sales data lived in several systems with different definitions, so every regional view meant manual reconciliation.
Sales Analysis to Grow
Customer and product performance by region, in one trusted view.
Data from multiple sources harmonised into consistent KPI definitions, with interactive dashboards for regional, period and target comparisons.
Delivered
A transformation layer and interactive dashboards with consistent KPI definitions.
Enabled
Like-for-like comparisons and growth opportunities by region, customer and product.
Challenge
Sales data lived across multiple systems with different definitions, granularities, and refresh cadences. Pulling a coherent view of customer behavior and product performance by region required manual reconciliation each time - slow, error-prone, and inconsistent across analysts. Growth opportunities were buried in the noise. Commercial decisions waited on data preparation that should have been automatic.
Approach
We built a sales analytics solution that integrates and transforms data from multiple sources into a single, trusted view. The transformation layer harmonizes customer and product master data, aligns regional hierarchies, and applies consistent KPI definitions - so a "region" or "growth %" means the same thing in every dashboard.
Interactive dashboards expose customer and product analysis by region, comparison views across periods, and trend tracking against targets. The architecture is built for accuracy: automated data quality checks ensure consistency across reporting levels, and full lineage makes any number traceable to its source.
Inside the sales dashboards
Two dashboard screens.
Dashboard screen · 01 / 02
Sales overview
Turnover month and year to date, plan execution, margin trends, turnover by business type and plan against actual by month.
- Unit and region filter
- Turnover against plan
- Margin trends
Dashboard screen · 02 / 02
Regional performance report
Plan against actual turnover, a sales funnel, a customer and project list, and turnover by product and business type.
- Period, year, month, unit and region filters
- Sales funnel
- Turnover by product
Outcomes
Qualitative project outcomes; no measured savings are claimed.
Single, trusted view of customer and product performance across regions
Growth opportunities surfaced through interactive exploration, not buried in spreadsheets
Like-for-like comparisons enabled by harmonized master data
High data accuracy and consistency across analysts and dashboards
Foundation for commercial decision-making at the speed of the market
Technology
ETL pipelines
SQL-based DWH
Power BI
Master data harmonization
Solution areas: Data Foundations ยท Data Products
