Sales Analytics Dashboard

The Sales dashboard for a fashion chain in Australia was created using a dataset that contains information on sales performance, product details, region, and time. The data was cleaned and prepared using Python and the Pandas library. Advanced data wrangling techniques were applied to ensure the data was accurate and relevant to the dashboard's purpose. The dataset was then imported into Tableau for visualization and analysis.

​

The dashboard includes multiple advanced visualizations and charts such as bar charts, line charts, and maps that show sales performance by product, region, and time. It also includes interactive filters and drill-down options, allowing users to easily analyze sales data at a granular level. This feature helps to identify trends, patterns, and areas for improvement in sales performance, which can ultimately help to optimize operations and improve overall performance.

​

Some key improvements that the dashboard offers include the ability to quickly identify underperforming products and regions, track sales trends over time, and monitor the effectiveness of marketing and promotional campaigns. Additionally, by drilling down into the data, it can help to identify and address specific issues such as stockouts or pricing discrepancies.

​

Overall, the Sales dashboard is a powerful tool for any fashion chain in Australia that wants to improve their sales performance by analyzing sales data, identifying trends, patterns, and areas for improvement and optimize operations. The use of advanced data wrangling techniques and advanced visualization in Tableau ensures that the data is accurate and relevant, allowing for informed decision-making.