ISSN:2582-5208

www.irjmets.com

Paper Key : IRJ************284
Author: Siddiqui Mohd Shakeeb
Date Published: 17 Nov 2023
Abstract
The process of Sales Data Analysis provides valuable insights into customer purchasing behavior, allowing businesses to comprehend the reasons behind these actions. By closely examining this behaviour, organizations can optimize their future strategies. While major global brands have been leveraging sales data for improved decision-making, any company can harness these insights and reporting tools to achieve data-driven sales success. This research project focuses on the historical, current, and future trends within the sales industry, emphasizing the application of business analytics for crafting effective marketing strategies using data from various sources, with a specific focus on utilizing DAX query language and Power BI dashboards. The primary objective of this project is to demonstrate the application of Power BI in sales analysis. This entails employing SQL queries for data cleansing and utilizing DAX query language for creating a high-performance dashboard accessible to end users. The project's dashboard provides a comprehensive view of trends, business performance, top-selling products, regional product preferences, and overall market performance. Through the visualization of large datasets, this project offers a user-friendly platform for informed decision-making.
DOI LINK : 10.56726/IRJMETS45699 https://www.doi.org/10.56726/IRJMETS45699
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