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Case Study: Inventory Analysis in Power BI

IntermediateSkill Level
4.6+
45 reviews
Updated 10/2024
This Power BI case study follows a real-world business use case on tackling inventory analysis using DAX and visualizations.
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Power BIData Visualization5 hours4 videos23 Exercises1,900 XP4,509Statement of Accomplishment

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Course Description

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 BI
1

Exploratory Analysis

Start Chapter
2

Inventory Analysis

Start Chapter
3

Reporting inventory analytics

Start Chapter
Case Study: Inventory Analysis in Power BI
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Don’t just take our word for it

*4.6
from 45 reviews
73%
18%
9%
0%
0%
  • Anil
    1 day

  • Jonas
    5 days

    that was a demanding but very informative course i learned a lot!

  • Wai Tung
    8 days

  • Sukhendra
    8 days

    In this case study, I conducted an in-depth ABC analysis of inventory data for WarmeHands, focusing on 2021 sales performance. The objective was to identify product categories that contribute the most to revenue and make data-driven recommendations for inventory optimization.🔍 Key Insights: Class A items accounted for the majority of revenue (~$0.32M), with a strong average inventory turnover of 1.59, indicating high demand and efficient stock movement.Class B items, though moderate in revenue, showed a competitive turnover rate of 1.38, suggesting untapped potential if stocked strategically.Class C items had lower turnover and contributed the least to revenue, making them less favorable for continued stocking.📈 Data Visualizations & Techniques Used: Created dynamic Power BI dashboards with KPI cards, bar charts, and Pareto distribution curves.Used filters and tooltips to isolate insights by ABC class.Performed calculations for revenue contribution, cumulative percentages, and inventory turnover differentials.💡 Recommendations: Maintain or increase stock levels for A-class items due to their consistent high turnover and revenue.Consider increasing stock for B-class items, which are slightly behind in performance but offer good turnover with less inventory.Reassess or phase out underperforming C-class items to optimize warehouse space and cash flow.

  • Naing Naing
    8 days

  • Ghulam Abbas
    16 days

Anil

"that was a demanding but very informative course i learned a lot!"

Jonas

Wai Tung

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