Case Study: Ecommerce Analysis in Tableau

Are you ready to apply your Tableau skills to solve practical business problems? For ecommerce businesses, increasing sales and reducing expenses are top priorities. In this Tableau case study, you'll investigate a dataset from a fictitious online pet supply company called Munchy's.

Use Your Tableau Skills With a Practical Case Study

First, you’ll analyze the sales dataset and find out which products are frequently bought together and in what quantity. You will then make upsell and cross-sell recommendations by building a market basket analysis.

Next, you’ll need to address the fact that shipping costs remain a big expense for online retailers. You’ll work on strategies such as shipping more of the same product to reduce per-unit costs. You will also need to understand where the customers are and what they buy to make recommendations to the management for a new warehouse location.

Analyze The Data and Visualize Your Findings

As you collate your findings, you’ll create calculated fields and various visualizations in Tableau, such as dual-axis graphs, highlight tables, and maps. Finally, you'll use filters and parameters to make your graphs dynamic and combine everything into a story to share your recommendations.