Abstract: The objective of analyzing Sales Insights data within Power BI is to achieve a thorough comprehension of sales performance by examining the data through the lens of Power BI's extensive analytical and graphical capabilities. This initiative seeks to identify critical sales metrics and patterns, offering valuable insights for strategic planning. The process employs a systematic methodology to ensure a thorough collection, examination, cleansing, transformation, and visualization of data, leading to the identification of meaningful indicators. Marketing is experiencing significant growth, and there's a challenge in accurately tracking sales. This necessitates precise information on the company's sales figures to facilitate informed decision-making.

The Power BI Quick Insights feature, with its array of sophisticated analytics algorithms, is a cutting-edge tool for this purpose. By analyzing sales data, it reveals the products customers are buying and the reasons behind their purchasing behaviors. This understanding can guide strategic choices and enhance the overall sales efficiency. The project aims to showcase how to leverage Power BI for sales analytics data, utilizing SQL queries for data cleansing and DAX query language, and its effectiveness in delivering dashboards to users. Thus, I developed a dashboard to monitor trends and business performance, including market fluctuations, identify top-selling products, regional sales variations, and product market performance. The dashboard presents a comprehensive data visualization that aids in making business decisions.

The project's goal is to provide businesses with a deeper insight into their sales operations, enabling them to refine their strategies and boost sales effectiveness.

Keywords: Data Analytics, Business Intelligence, Sales, Visualization.

| DOI: 10.17148/IARJSET.2024.11750