课程
Case Study: Supply Chain Analytics in Power BI
基础技能水平
更新时间 2023年8月
Power BIData Visualization4小时5 视频20 道练习1,750 XP5,151成就证明
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企业版试用课程描述
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.
先决条件
Introduction to Power BIDAX Functions in Power BIData Connections in Power BI1
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.
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.
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.
Case Study: Supply Chain Analytics in Power BI
课程完成 加入超过19百万学习者，今天就开始Case Study: Supply Chain Analytics in Power BI！
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继续操作即表示您接受我们的《使用条款》和《隐私政策》，并同意您的数据存储在美国。
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