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Case Study: Inventory Analysis in Tableau
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Practice Your Tableau Skills With a Case Study
You’ll analyze a dataset from a fictitious company named Acropolis Retail Inc. Many retailers 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.Clean and Explore Data With Tableau
You will start by cleaning and exploring the data to verify everything makes sense. Next, you’ll create calculated fields and ensure there is the appropriate level of detail for analyzing the clean information to obtain focused insights. Finally, you’ll finish by creating attractive, informative visualizations and dashboards.By the time you’re finished, you’ll be more confident performing an inventory analysis using Tableau.
Prerequisites
Calculations in TableauExploratory Analysis
Inventory Analysis
Reporting Inventory Analytics
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FAQs
What company scenario does this inventory analysis case study use?
You analyze inventory data from Acropolis Retail Inc., a fictitious retailer looking to improve its inventory management and purchasing decisions through data analysis.
Does this case study involve data cleaning challenges?
Yes. Like real-world data, the dataset has imperfections. Chapter 1 focuses on preparing and exploring the data, verifying it makes sense, and creating any missing variables.
What inventory analysis methods are covered?
You learn inventory turnover calculations and ABC analysis to classify items by importance, helping determine which products deserve the most attention in stock management.
What will I deliver by the end of this case study?
You create informative dashboards with practical applications for management, including purchase decision support and stock management efficiency recommendations.
How long does this case study take to complete?
It contains 3 chapters with 26 exercises. The median completion time is about 1.8 hours, making it one of the shorter Tableau case studies on DataCamp.
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