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Case Study: Ecommerce Analysis in Power BI
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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.Prerequisites
DAX Functions in Power BIData Visualization in Power BIData Exploration
Ecommerce Analytics
Visualize Your Analysis
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FAQs
What prior Power BI experience do I need before taking this ecommerce case study?
You should have completed courses on DAX functions, data modeling, and data visualization in Power BI. This is an intermediate course that builds on foundational Power BI skills.
What kind of business dataset does this course use?
You work with data from a fictional online pet supply company called Whiskique, analyzing sales performance, customer locations, shipping costs, and product profitability.
Will I build interactive dashboards in this course?
Yes. The final chapter focuses on building dashboard-style report pages that present product and customer KPIs and tell a data story for an executive audience.
Does this course cover both Power Query and DAX?
Yes. You use Power Query to investigate and clean the data in early chapters, then apply DAX to create calculated metrics and insightful visualizations throughout.
How is the what-if analysis used in this course?
You build a what-if analysis to model the impact of shipping higher quantities on shipping costs, helping the Whiskique team explore cost reduction strategies.
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