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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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3 Hours4 Videos23 Exercises1900 XP

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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. 1

    Exploratory Analysis

    Free

    In 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.

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    Inventory Analysis with Power BI
    50 xp
    Power BI recap
    100 xp
    Preparing data
    100 xp
    Cleaning and exploring data
    100 xp
    Cost of Goods Sold
    100 xp
    Revenue and profit
    100 xp
    Insight of inventory analytics
    50 xp
  2. 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.

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  3. 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.

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Datasets

DataCamp vs. Local ExperienceExercises and DatasetsMetadata sheet

Collaborators

maartenvdbroeck
Maarten Van den Broeck
iasonprassides
Iason Prassides
Danny Cevallos Headshot

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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