Sales Data Analysis

The Sales data analysis Power BI project is designed to provide actionable insights to the furniture store management team, enabling them to make data-driven decisions to improve sales performance.

The project involves collecting and analyzing sales data from various sources. Data is transformed and modeled using Power BI to create interactive and visually appealing dashboards that present key performance indicators (KPIs) such as sales revenue, gross profit, and product performance.

The project scope includes analyzing sales data over a specific period, such as a quarter or year, and comparing sales performance to previous periods to identify trends and patterns. The project also involves identifying the top 5 sales representatives, determining the highest-selling products, and identifying total revenue by product name.

The expected outcomes of the project include identifying areas of improvement in the store's sales performance, optimizing product selection and pricing strategies, and enhancing customer experience to increase loyalty and retention. By providing the store management team with actionable insights, the project aims to increase sales revenue, improve operational efficiency, and drive business growth.