The main aim of this project is to develop a real-time analytics dashboard that helps retail businesses monitor key performance indicators (KPIs) and make data-informed decisions regarding pricing, promotions, inventory, and customer engagement strategies. Traditional reporting systems in retail are often static, delayed, or fragmented across departments, which limits responsiveness to market shifts. This project seeks to bridge that gap by using business intelligence (BI) tools to integrate data from multiple sources (POS systems, CRM, ERP, etc.) and visualize it on a dynamic, centralized platform. The expected outcome is a dashboard that enhances visibility, reduces decision latency, and enables proactive business management.
Students will begin by identifying the key metrics and performance indicators relevant to retail strategy, such as daily sales, stock levels, customer footfall, return rates, and promotional impact. They will then study dashboard design principles and evaluate BI tools such as Power BI, Tableau, or Google Data Studio.
Next, students will gather or simulate retail data from various sources and design data pipelines for real-time or near-real-time integration. They will build the dashboard interface, ensuring it is user-friendly, mobile-accessible, and capable of drill-down analysis. Tasks will also include testing for performance, visual clarity, and reliability under different usage conditions.
The final deliverables will include the working dashboard prototype, a user guide, a strategic insights report demonstrating the dashboard’s decision-making capabilities, and a presentation highlighting the project’s business impact. Throughout the project, students must follow data governance practices and ensure compliance with privacy and security standards.
