Case Study · Power BI · DAX · KPI Reporting
Revenue & KPI Dashboard — From Hours of Excel Work to Minutes of Review
An executive KPI dashboard focused on revenue trends, top performers, monthly growth, and management-level decision views — replacing a slow, inconsistent manual reporting process.
Power BI
DAX
KPI Reporting
Executive Dashboard
Hours → Minutes
The Problem
The client's team was spending significant time every week manually compiling revenue reports. The process was error-prone, inconsistent across team members, and produced results that couldn't be trusted without double-checking.
- Weekly revenue report required 3–4 hours of manual Excel work
- Different team members produced different numbers for the same metric
- No consistent definition of KPIs — "revenue" meant different things in different files
- Management had to wait until Monday morning to see last week's performance
- Filtering by region, product, or time period required rebuilding the report from scratch
The Solution
I designed and built an automated Power BI executive dashboard that connects directly to the data source, applies consistent business logic via DAX, and gives management a live, filterable view of revenue performance.
- Defined all KPIs in DAX — single source of truth for every metric
- Built automated data refresh so numbers update without manual action
- Designed clean executive summary page — key metrics at a glance
- Added time intelligence — MoM, YoY, rolling 90-day views with one click
- Drillthrough pages for digging into specific regions, products, or reps
What Was Built
- Executive overview — total revenue, orders, avg deal size, conversion rate
- Revenue trends page — daily/weekly/monthly trend charts with forecast line
- Top performers — ranked by revenue, deals closed, growth rate
- Monthly growth breakdown — MoM %, waterfall chart, target vs actual
- Interactive filters — slice by date range, region, product, team, or rep
- Mobile-optimized layout — management can check from their phone
Tech Stack
- Power BI Desktop + Service — Dashboard design, publishing, and scheduled refresh
- DAX — Revenue, MoM growth %, YoY %, rolling averages, target variance
- Power Query (M) — Data cleaning, date table generation, relationship modeling
- Data source: Excel + SQL Server (connected via Power BI gateway)
Results
Reporting time cut from 3–4 hours to under 10 minutes
The Monday morning report-building session is gone. Management opens Power BI and the numbers are already there — accurate, consistent, and filterable.
The team eliminated disagreements about KPI definitions. Every metric is calculated identically, every time, by the DAX engine.