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Mobile Sales Analytics Dashboard | Power BI
Tools: Power BI, Excel
Overview:
Built an interactive mobile sales analytics dashboard to track sales performance across brands, cities, payment methods, and time periods.
Key Insights:
• Total sales, quantity sold, and transaction volume
• Sales trends by month and day
• City-wise and brand-wise performance
• Payment method distribution (UPI, Card, Cash)
• Customer rating analysis
What I Did:
• Cleaned and structured raw sales data in Excel
• Created KPIs and DAX measures
• Designed interactive visuals and filters
• Built a decision-ready dashboard for business users
Outcome:
Enables businesses to identify top-performing brands, cities, and payment channels to improve sales strategy.
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AI-Assisted Sales Intelligence Dashboard
Project Overview
This project is an end-to-end Sales Analytics solution built using Python, SQL, and Power BI.
The workflow includes:
Data Cleaning using Python (Pandas)
Data Storage using SQLite
Business Analysis using SQL Queries
Interactive Dashboard using Power BI
Automated Business Report Generation using Python
The goal of this project is to analyze sales performance, identify profitable products, monitor regional performance, and generate business recommendations.
Dataset
Dataset: Sample Superstore Dataset
Records: 9,994
Features:
Order Details
Customer Information
Product Information
Sales
Profit
Discount
Region
Category
Sub-Category
Tools & Technologies
Python
Pandas
SQLite
SQL
Power BI
Data Visualization
Business Intelligence
Project Workflow
CSV Dataset
↓
Data Cleaning (Python)
↓
SQLite Database
↓
SQL Analysis
↓
Power BI Dashboard
↓
AI Business Report
Dashboard Pages
Executive Overview Total Sales Total Profit Total Orders Profit Margin Regional Sales Analysis Category Performance Analysis
Product Performance Analysis Top Profitable Products Loss-Making Products Profit by Category Sales by Sub-Category
Sales Trends Analysis Sales Trends Over Time Profit Trends Seasonal Performance Insights Key Business Insights West Region generated the highest sales. Technology is the most profitable category. Several products generate significant losses and require pricing review. Sales performance varies significantly across regions. Automated AI Report The project includes a Python-based reporting system that automatically generates:
Total Sales
Total Profit
Business Insights
Strategic Recommendations
Author
Gourav Jangid
Aspiring Data Analyst
Open to Data Analytics Opportunities
Built an interactive Power BI dashboard to analyze mobile sales performance, customer ratings, transactions, payment methods, brands, mobile models, and sales trends. Used Power Query and DAX to prepare data, create KPIs, and build interactive visualizations for business insights.
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