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Case Study: Supply Chain Analytics in Power BI

中級スキルレベル
更新日 2023/08
Learn how to use Power BI for supply chain analytics in this case study. Create a make vs. buy analysis tool, calculate costs, and analyze production volumes.
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Power BIData Visualization4時間5 ビデオ20 演習1,750 XP5,048達成証明書

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コース説明

Master Supply Chain Analytics with Power BI

Looking to enhance your supply chain analytics skills? This course focuses on creating a powerful make versus buy analysis tool using Power BI.

Create a Make versus Buy Analysis Tool

Through this case study, you will develop a quote analysis tool, calculate costs for various production volumes, and integrate internal manufacturing cost data for in-depth analysis.

Discover the Advantages of Power BI

The course highlights the advantages of Power BI over traditional spreadsheets, offering a valuable model that can be extended to include additional cost considerations and supply chain aspects.

Extend the Model to Include More Supply Chain Aspects

Take your supply chain analytics to the next level by extending the model to include additional cost considerations and supply chain aspects.

By the end of this course, you'll have a strong understanding of supply chain analytics with Power BI, allowing you to create valuable tools for your organization.

前提条件

Introduction to Power BIDAX Functions in Power BIData Connections in Power BI
1

The Buy Option

In this first chapter, you will learn about the make and buy options in a supply chain. Then you will become acquainted with the concepts of extended cost and full cost. You will learn how to calculate these with a basic quote dataset.
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2

Creating a Volume Parameter and Scenario Analysis

In this chapter, you will explore building a scenario analysis tool to examine how your cost calculations change as volumes change. You will create visualizations of how the full cost changes across the different potential production volumes.
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3

The Make Option

You will learn how to assess internal costs manufacturing costs - the "Make" option in the Make versus Buy. You will also learn how to communicate your results.
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Case Study: Supply Chain Analytics in Power BI
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