Case Study: Inventory Analysis in Power BI
This Power BI case study follows a real-world business use case on tackling inventory analysis using DAX and visualizations.
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Course Description
Looking for a way to challenge what you have learned in Power BI? This case study can help you be prepared to tackle real-world problems in the field of inventory analysis.
You’ll analyze a dataset from a wonderful fictitious company named WarmeHands Inc. As with many retailers, they want to investigate possible improvements in inventory management and purchases, but they need some help. Here is where you come to the rescue. But as you will see, in a real-world case, not everything is perfect.
You will start using some Power Query for cleaning and exploring the data to verify everything makes sense. Next, you’ll work with some manipulations and intermediate DAX formulas for analyzing the clean information to obtain focused insights. Finally, you’ll finish by creating some attractive yet informative report pages.
By the time you’re finished, you’ll be more confident performing an inventory analysis using Power BI.
- 1
Exploratory Analysis
FreeIn this first chapter, you will prepare and explore your new dataset in Power BI, to set things up for your inventory analysis. Of course, as with a real-world dataset, things might not be perfect, so you should keep your eyes open to check your data is in order and makes sense.
- 2
Inventory Analysis
Here, you will continue developing more interesting metrics and methods for inventory analysis in Power BI, such as inventory turnover and ABC analysis, to help you investigate which items are best for WarmeHands Inc.
- 3
Reporting inventory analytics
In the final chapter, it's time to start creating dashboard-style pages to share information with suitable applications on management practices, such as assisting in purchase decisions to improve stock management efficiently.
Collaborators
Danny Cevallos
Statistician and Data Scientist
Danny is a master of statistics and data science who shares the DataCamp philosophy and culture. He started as a biologist and found his passion in analyzing data after working in quantitative genetics. He believes in the impact of good analysis to solve problems and enjoys finding ways to make complex ideas easier. He enjoys “oldies but goodies” in music and cinema in his free time.
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