Year: 2025
Type: article
Abstract: This project presents the design and development of a comprehensive sales dashboard utilizing Microsoft Power BI, aimed at improving sales data analysis and enabling informed business decisions. The dashboard integrates and visualizes large volumes of sales data collected from various sources such as CRM systems, spreadsheets, and databases, providing a unified and realtime view of sales performance. Key features of the dashboard include interactive charts, graphs, and KPIs that track metrics like total sales, sales by region, product category performance, customer acquisition trends, and sales growth over time. The implementation leverages Power BI’s robust data modeling capabilities, including DAX formulas and relationships, to enable advanced analytics and dynamic data slicing by users. By offering drill-down and filter options, the dashboard supports granular analysis for sales managers, marketing teams, and executives to identify patterns, spot sales opportunities, and address performance bottlenecks promptly. The project also emphasizes best practices in dashboard design to ensure clarity, usability, and quick insights. Testing and evaluation indicate that the Power BI sales dashboard enhances data accessibility, reduces manual reporting efforts, and facilitates faster, data-driven decision-making, thereby contributing to improved sales strategies and overall business growth. This project highlights the role of business intelligence tools in transforming raw sales data into actionable insights, demonstrating a scalable approach applicable across diverse industries
Authors: Mithilesh Kumar, Mohammad Iftekhar, Om Prakash Yadav, Pratham Kumar Shaw, Himanshu Sirohi
Language: English
Subfield: Management Information Systems
Domain: Social Sciences
Open Access status: diamond
OpenAlex ID: W4411289241