Retail Insights: Unveiling E-Commerce Dynamics with Power Bi

Abstract

This study talks about using a tool called Power BI to create reports for online businesses. These reports help businesses understand how well they're doing in areas like sales, customer behaviour, inventory, and marketing. The reports use interactive charts and graphs to make it easier to see important information. They also use techniques like random sampling to make sure the data is represented accurately. The report covers topics like how the data is collected, different ways to show the data visually, predicting future trends, and showing data in real time. They give examples of how Power BI can help businesses understand their sales, customer behaviour, and marketing effectiveness. The abstract also talks about future trends, like using more advanced techniques for predicting trends, getting personalized insights, and analyzing data from different sources. By using these tools and techniques, businesses can stay ahead in the online marketplace and grow successfully. Furthermore, we examine emerging trends and future developments in e-commerce reporting using Power BI, such as advanced predictive analytics, real-time data streaming, personalized insights, and cross-channel analytics. By embracing these innovations, businesses can gain a competitive edge in the dynamic and ever-evolving e-commerce landscape, driving growth, and success in the digital marketplace. The study also talks about what might happen in the future, like using even fancier tools to guess what might happen next, getting special advice that's just for you, and looking at data from all different places. By using these tools, businesses can stay ahead in the online shopping world and grow successfully.