Customer & Sales Intelligence
Connect sales growth with customer value, profitability and team performance.
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How I built it
The Challenge
Sales performance is influenced by customer behaviour, product demand, geographical markets and individual salesperson results.
I developed this four-page Power BI demonstration to bring these perspectives together, helping users explore sales performance, understand customer activity and evaluate commercial targets.
My Approach
The solution combines an executive sales overview, geographic sales analysis, individual customer profiles and sales-team performance reporting.
It enables users to move from overall revenue trends to detailed customer and salesperson-level insights.
DAX & Technical Methods
- Sales KPIs: Total Sales, Orders, Active Customers, Average Order Value and Gross Margin %.
- Time intelligence: Year-on-year sales, customer and order comparisons.
- Customer segmentation: Revenue analysis by customer segment, product category and customer account.
- Geographic analysis: Country-level sales distribution and regional growth comparisons.
- Customer 360° reporting: Customer profiles, account status, credit limits, purchasing history and product portfolios.
- Sales-target analysis: Target Attainment %, Target Variance % and salesperson rankings.
- Interactive analysis: Fiscal-year and regional filters, customer selection and switchable performance measures.
What This Project Demonstrates
Commercial analytics, customer segmentation, DAX KPI development, geographic reporting and sales-performance measurement.
Tools & Techniques: Power BI · DAX · Customer Analytics · Sales Intelligence · Data Modelling
Demonstration project using synthetic sales and customer data. The geographic map is a static visual supported by report-level country and regional charts.