Sales Performance Dashboard for Tracking Revenue Growth

This Power BI dashboard was designed to monitor corporate client sales performance, providing real-time insights into revenue growth, sales trends, and team performance. The dashboard enabled decision-makers to identify high-performing products, regions, and sales teams, as well as areas requiring improvement.

Key Features

Revenue Trends

Visualizations showcasing monthly, quarterly, and annual revenue growth.

Product Performance Analysis

Top-performing and underperforming products identified by sales and revenue contribution.

Regional Sales Insights

Geographical heatmaps displaying region-wise sales data.

Sales Team Performance

Metrics and KPIs for individual and team contributions to overall sales targets.

Impact/Results

Contributed to a 20% increase in revenue by identifying high-growth opportunities and focusing on underperforming products.

Improved sales team accountability with performance metrics that motivated better results.

Enabled corporate clients to make data-driven decisions for inventory management and marketing strategies.

Screenshots/Demo

(Screenshot of revenue trends, product performance charts, and regional sales heatmaps.)

Customer Insights and Predictive Sales Forecasting Dashboard

This project involved creating a sales analysis dashboard focused on customer behavior and sales forecasting. The dashboard provided insights into customer purchasing patterns, churn rates, and predicted future sales trends to help clients optimize marketing and sales strategies.

Key Features

Customer Segmentation

Analysis of customer groups by purchasing frequency, average order value, and lifecycle stage.

Churn Prediction

Indicators identifying at-risk customers to enable proactive engagement strategies.

Sales Forecasting

Predictive analytics using historical data to forecast future sales and revenue.

Profitability Metrics

Gross margin analysis across customer segments and product categories.

Impact/Results

Helped corporate clients reduce customer churn by 15% through targeted retention strategies.

Enabled accurate sales forecasting, improving inventory planning and reducing stockouts by 10%.

Contributed to a 20% increase in overall revenue by optimizing customer engagement and marketing efforts.

Screenshots/Demo

(Screenshot of customer segmentation charts, churn indicators, and sales forecasts.)