Published Paper Details:

The Paper a systematic approach to using Power BI for retail store sales analysis, emphasizing the importance of data visualization in understanding sales performance, trends, and customer preferences. It includes insights on monthly sales trends, highlighting fluctuations and peaks in certain months, which aids in forecasting and inventory planning. The sales breakdown by retailer reveals varying contributions from different outlets, identifying top performers and opportunities for improvement. Regional sales distribution is analyzed, with New York showing significant contributions. Additionally, product insights detail sales volumes by beverage brands and cities, guiding marketing and inventory strategies. The methodology involves comprehensive data gathering, cleansing, and analysis to create an interactive Power BI dashboard that displays key metrics and allows for real-time insights. The document also suggests future enhancements for predictive analytics and emphasizes the need for cross-disciplinary research in retail analytics. Overall, it aims to provide a comprehensive view of trends and best practices in retail sales analysis.