This project involves the analysis of the sales data of a hardware company named AtliQ. The project includes data cleaning and integration, which was done using MySQL, a popular relational database management system.

The primary aim of this undertaking is to effectively visualize AtliQ Hardware's sales data, offering valuable insights into crucial metrics like revenue, sales quantity, revenue and sales quantity distribution across different markets, revenue trends, and other pertinent indicators. To achieve this goal, the project employs Power BI, a versatile platform enabling the creation of interactive and visually appealing reports and dashboards.

The project's outset involves meticulous data cleaning, wherein the initial sales data is refined to eliminate irregularities, redundancies, and inaccuracies. Following the cleaning process, the data is consolidated into a cohesive dataset utilizing the MySQL relational database management system. Subsequently, this consolidated dataset is imported into Power BI, where a variety of visualizations are crafted to depict diverse facets of the sales data.

DashBoard:

Within Power BI, these visualizations encompass depictions such as product-specific revenue, revenue attributed to various markets, sales quantity breakdown by product and market, trends in revenue over time, and additional pertinent performance metrics. The interactive nature of these visualizations empowers users to delve into the data, thereby facilitating a deeper understanding of AtliQ Hardware's sales performance.

Mobile Version:

In essence, the "Sales Insights of AtliQ Hardware" project plays a pivotal role in offering invaluable comprehension of the sales performance of the hardware company. Such insights hold the potential to guide strategic decisions and enhance overall business operations.