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Case Study: Inventory Analysis in Power BI
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Apply Your Skills with a Power BI Case Study
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.Deep-dive into Inventory Management
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.Utilize Power Query for Data Cleaning
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.
Prerequisites
Introduction to Power BIData Preparation in Power BIDAX Functions in Power BIExploratory Analysis
Inventory Analysis
Reporting inventory analytics
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FAQs
What company scenario does this Power BI case study use?
You work with data from WarmeHands Inc., a fictitious retailer investigating improvements in inventory management and purchasing practices using Power BI.
Does this case study involve data cleaning before analysis?
Yes. You start with Power Query to clean and explore the data, verifying that everything makes sense before moving on to analysis and reporting.
What Power BI tools and techniques are applied in this case study?
You will use Power Query for data cleaning, intermediate DAX formulas for analysis, and report design techniques to create attractive and informative report pages.
How many prerequisites does this case study require?
Five prerequisites are required: Introduction to Power BI, Data Preparation, Data Modeling, Introduction to DAX, and DAX Functions in Power BI.
How long should I expect this case study to take?
It has 3 chapters and 24 exercises, but the median completion time is about 4.5 hours, making it a substantial hands-on challenge.
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