FP&A & Business
Performance Dashboard

A Power BI dashboard providing centralized business intelligence for financial planning and analysis. Delivers comprehensive insights across revenue, profitability, products, customers, regions, and cash flows for data-driven decision making.

Power BI DAX Power Query FP&A MIS Reporting Variance Analysis Cash Flow   Completed
25K+
Sales records
500
Customers
200
Products
4
Regions
24mo
Coverage
Category FP&A / BI Dashboard
Primary tool Power BI
Data source Simulated dataset
Period 24 months
Status Completed
Discuss this project

Project overview

This project analyzes business performance across revenue, profitability, customer segments, products, regions, and cash flows. The dashboard was developed to provide management with a consolidated view of financial performance and support data-driven decision making.

Management required a centralized Business Intelligence (BI) Dashboard to consolidate fragmented financial and operational data into a single source of truth. This solution automates data ingestion from ERP, CRM, and accounting systems to deliver real-time, actionable insights.

Management required a centralized reporting solution to:

  • Monitor revenue and profitability trends
  • Track customer and product performance
  • Analyze regional sales contribution
  • Review cash flow movements
  • Compare actual performance against business targets

Without a consolidated dashboard, decision-makers struggled with fragmented data sources, delayed reporting, and inability to quickly identify performance trends and anomalies.

Data used

Source: Simulated business dataset created for FP&A and business intelligence reporting purposes.  Coverage period: 24 months of data.

25K+
Sales records
Sales transactions table
500
Customers
Customer master records
200
Products
Across product categories
4
Regions
Business region coverage
24mo
Budget data
Budget target timeline
3
Cash flow types
Operating, investing, financing
1
Calendar table
Time intelligence dimension

Approach & methodology

1
Data model architecture

Built data model connecting Sales, Customer, Product, Budget, and Cash Flow tables with proper relationships and cardinality.

2
Power Query transformation

Used Power Query for data cleaning, transformation, and integration across multiple source tables.

3
DAX measure development

Developed DAX measures for KPIs including revenue, profit margins, variance calculations, and time intelligence functions.

4
Interactive dashboard design

Created interactive dashboards with KPI cards, trend visuals, and dynamic filters for management-facing reporting.

5
Drill-through and time intelligence

Implemented drill-through functionality for detailed analysis and added YoY and MoM time comparisons throughout.

Analysis performed

  • Revenue Trend Analysis — monthly and quarterly revenue movement over the 24-month coverage period.
  • Regional Revenue Comparison — contribution breakdown across the four business regions.
  • Category-wise Revenue Contribution — product category revenue split and mix.
  • Customer Segment Revenue Analysis — revenue performance by customer segment and tier.
  • Gross Profit Calculation — revenue less cost of goods sold across categories and periods.
  • Profit Margin Analysis — margin tracking and trend at overall and category level.
  • Category Profitability Assessment — comparing profit contribution per product category.
  • Product Performance Evaluation — individual product-level profitability and margin review.
  • Customer Segmentation Analysis — segmenting customers by type, value, and buying behavior.
  • Revenue Contribution by Segment — understanding which customer segments drive the most revenue.
  • Top Customer Identification — identifying high-value accounts and key client concentration.
  • Customer Concentration Assessment — evaluating revenue risk from over-reliance on key customers.
  • Top-performing Products — ranking products by revenue, margin, and volume contribution.
  • Category Performance Comparison — cross-category benchmarking on revenue and profitability.
  • Subcategory Contribution Analysis — drilling into subcategory-level performance within main categories.
  • Product Profitability Review — identifying high-margin and low-margin products for action.
  • Actual vs Budget Comparison — tracking actual financial results against budgeted targets.
  • Revenue Variance Calculation — calculating favorable and unfavorable revenue variances.
  • Budget Attainment Tracking — measuring % attainment of budget targets across periods.
  • Regional Performance Against Targets — regional variance analysis against budgeted objectives.
  • Operating Cash Flow Trends — movement and trends in core operating cash generation.
  • Investing Cash Flow Review — capital expenditure and investment cash activity analysis.
  • Financing Cash Flow Analysis — debt, equity, and financing activity review.
  • Overall Liquidity Assessment — combined cash flow review for organizational liquidity position.

Key findings

Consistent Revenue Growth

Revenue showed consistent growth throughout the reporting period, indicating strong business performance and market demand.

West Region Leadership

West region generated the highest revenue, demonstrating superior regional performance and market penetration.

Technology Product Strength

Technology products delivered the strongest profitability, highlighting high-margin product opportunities for scale.

Corporate Customer Dominance

Corporate customers contributed the largest revenue share, indicating significant enterprise relationship value and dependency.

Strategic recommendations

01 — Focus
Focus on High-Margin Categories

Aggressively scale technology products and high-margin segments to drive immediate profitability improvements across the business.

02 — Regional
Improve Underperforming Regions

Address regional performance gaps by fixing operational leaks in weaker regions while maintaining the West region's market strength.

03 — Retention
Strengthen Customer Retention Programs

Enhance retention initiatives for corporate customers who drive the largest revenue share to secure long-term stability and growth.

Tools used

Power BI Desktop
Power Query (M Language)
DAX (Data Analysis Expressions)
Microsoft Excel
SQL
Star Schema Data Modeling
Time Intelligence Functions

Project files

FP&A Dashboard.xlsx
Excel model with calculations, budget logic, and supporting data.
Open file
FP&A Dashboard.pbix
Power BI dashboard file for business performance reporting.
Open file

Dashboard screenshots

Dashboard screenshots will be added here. Click any screenshot to view it full size.

Executive Summary Dashboard
KPI cards and overview metrics
Revenue Trend Analysis
Regional breakdown and trend charts
Profitability Dashboard
By product and category
Customer Segment Analysis
Segment contribution and top customers
Budget vs Actual Variance
Variance dashboard by region and period
Cash Flow Analysis
Operating, investing, and financing flows
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