MHM - Shop Heat Map
Geographical Data Visualization for Milk Distribution Analytics
Power BI
Interactive Heat Map Dashboard
Real-time milk distribution analytics
Project Overview
Business Challenge
Orion Food Vina needed a comprehensive visualization tool to analyze the geographical distribution of shops selling their milk products, enabling data-driven decisions for market expansion and supply chain optimization.
Solution Approach
Developed an interactive heat map application that visualizes shop density, sales performance, and geographic distribution patterns, providing actionable insights for strategic business decisions.
Project Details
Timeline
August 2024 - November 2024
Team Composition
- • Development Team: 5 members
- • Cross-functional collaboration
- • Agile methodology implementation
My Role
Business Analyst & Quality Assurance Tester
Key Features
Interactive Heat Maps
Dynamic geographical visualization showing shop density and distribution patterns across different regions.
Real-time Analytics
Live data processing and visualization with automatic updates to reflect current market conditions and sales data.
Targeted Insights
Customizable filters and drill-down capabilities to analyze specific regions, product categories, and time periods.
Mobile Responsive
Optimized for mobile devices to enable field teams to access critical data and insights on-the-go.
Advanced Search
Powerful search functionality to quickly locate specific shops, regions, or analyze particular market segments.
Performance Metrics
Comprehensive KPI dashboard showing sales performance, market penetration, and growth opportunities.
My Key Contributions
Business Analysis
- Requirements Gathering: Conducted stakeholder interviews to understand business needs and define functional requirements
- Data Analysis: Analyzed existing data sources and defined data validation rules for accurate visualization
- Process Documentation: Created comprehensive business process documentation and user workflows
Quality Assurance
- Test Planning: Developed comprehensive test plans covering functional, usability, and performance testing
- Data Validation: Implemented rigorous data validation processes to ensure accuracy and reliability
- User Acceptance: Coordinated UAT sessions with business stakeholders and incorporated feedback
Technology Stack
Frontend Technologies
Backend & Analytics