In ecommerce, increasing sales and reducing expenses are top priorities. In this case study, you'll investigate data from an online pet supply company.
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.
You 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. Shipping costs remain a big expense for online retailers. You will consider strategies such as shipping more of the same product to reduce per-unit costs. You will understand where the customers are and what they buy, and you will make recommendations to the management for a new warehouse location.
You'll answer these questions by creating calculated fields and various visualizations in Tableau, such as dual-axis graphs, highlight tables, and maps. You'll use filters and parameters to make your graphs dynamic, and then combine everything into a story to share your findings.
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.
You 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. Shipping costs remain a big expense for online retailers. You will consider strategies such as shipping more of the same product to reduce per-unit costs. You will understand where the customers are and what they buy, and you will make recommendations to the management for a new warehouse location.
You'll answer these questions by creating calculated fields and various visualizations in Tableau, such as dual-axis graphs, highlight tables, and maps. You'll use filters and parameters to make your graphs dynamic, and then combine everything into a story to share your findings.
