Case Study: Ecommerce Analysis in Power BI
In ecommerce, increasing sales and reducing costs are key. Analyze data from an online pet supply company using Power BI.
For ecommerce businesses, increasing sales and reducing expenses are top priorities. In this Power BI case study, you’ll investigate a dataset from a fictitious online pet supply company called Whiskique. Use Your Power BI Skills to Solve Real-World Problems First, you’ll analyze the sales dataset to inform the company of who their customers are and what purchases they make. You will then use market basket analysis to help identify which products are frequently bought together. 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.
Analyze The Data and Visualize Your Findings As you collate your findings, you’ll create new measures and various visualizations in Power BI, such as combination graphs, treemaps, and maps. Finally, you’ll use filters and parameters to make your graphs dynamic and create dashboard-style pages to share your insights.
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