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An interactive Microsoft Excel dashboard created to analyze pharmaceutical sales performance by month, territory, sales representative, customer, product and category. The dashboard includes KPI cards, PivotTables, PivotCharts, slicers, sales trends, gross profit, gross margin and management insights. The project uses synthetic data for portfolio demonstration.
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I created an interactive Excel dashboard to help businesses understand their sales and profitability. The project involved cleaning and organizing sales data, analyzing monthly sales and profit, comparing regional performance, and creating interactive charts and filters for product categories.
The dashboard turns raw sales data into clear visual insights that can help business owners monitor performance and make data-driven decisions.
Tools: Microsoft Excel, Pivot Tables, Charts, Data Cleaning, Dashboard & Data Analysis
Project Title:
Adidas Sales Performance & Profitability Analysis (Capstone Project)
Overview:
A comprehensive interactive Excel analytics dashboard developed as a Capstone Project to analyze Adidas' overall sales revenue, unit distribution, regional performance, and profit margins. This dashboard transforms raw retail data into executive-ready visuals that highlight top-performing channels, regional growth opportunities, and product category trends.
FNP Sales Analysis Dashboard – Excel
Developed an interactive Sales Analysis Dashboard in Microsoft Excel to analyze order performance, revenue trends, customer spending, product performance, and delivery efficiency. The dashboard provides a comprehensive view of sales data through dynamic KPIs, charts, filters, and time-based analysis.
Key Features & Analysis
Sales Performance KPIs: Tracked 1,000 total orders, ₹35.20 lakh total revenue, average customer spending of ₹3,520.98, and average order-delivery time of 5.53 days.
Revenue by Occasion: Analyzed revenue generated across occasions such as Anniversary, Birthday, Diwali, Holi, Raksha Bandhan, and Valentine's Day.
Revenue by Category: Compared sales performance across product categories including Cakes, Colors, Mugs, Plants, Raksha Bandhan products, Soft Toys, and Sweets.
Revenue by Hour: Examined order-time patterns to identify hours with higher revenue generation.
Monthly Revenue Analysis: Analyzed revenue trends across different months to identify seasonal fluctuations and peak-performing periods.
Top 5 Products: Identified the highest-revenue-generating products, including Deserunt Box, Dolores Gift, Harum Pack, Magnam Set, and Quia Gift.
Top 10 Cities: Compared order volumes across cities such as Bharara, Bidhanagar, Bilaspur, Dhanbad, Dibrugarh, Gujratkal, Haridwar, Imphal, Kavali, and North Dumdum.
Interactive Filters: Added filters for Order Date, Delivery Date, and Occasion, allowing users to dynamically explore specific periods and sales segments.
Dashboard Design: Created a user-friendly layout with KPI cards, charts, slicers/filters, and interactive visualizations for quick business insights. Tools & Skills Microsoft Excel | Data Analysis | Data Visualization | Dashboard Development | Pivot Tables/Charts | Interactive Filters Project Objective The primary objective of this project was to transform raw sales data into an interactive Excel dashboard that enables users to monitor sales performance, identify revenue trends, understand customer purchasing patterns, and evaluate product and geographical performance for better business decision-making.
