Case Study: Supply Chain Analytics in Power BI

Starting at USD 39.00
3 hours duration

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.

Enhance your supply chain analytics skills with the Master Supply Chain Analytics with Power BI course. This comprehensive program focuses on creating a powerful make versus buy analysis tool using Power BI. Throughout the course, you will develop a quote analysis tool and learn how to calculate costs for various production volumes. Additionally, you will integrate internal manufacturing cost data for in-depth analysis, providing you with valuable insights into your supply chain. One of the key advantages of this course is its emphasis on Power BI over traditional spreadsheets. You will discover how Power BI can enhance your analytics capabilities and provide a more efficient and effective solution for supply chain analysis. Furthermore, this course offers the opportunity to extend the model to include additional cost considerations and supply chain aspects. By taking your supply chain analytics to the next level, you will be able to create more comprehensive and valuable tools for your organization. By the end of the Master Supply Chain Analytics with Power BI course, you will have a strong understanding of supply chain analytics with Power BI. This knowledge will enable you to create valuable tools and make informed decisions that can positively impact your organization's supply chain operations.

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DataCamp is an online learning platform that offers interactive courses and tutorials for data science and analytics. It provides a wide range of courses covering topics such as Python, R, SQL, machine learning, data visualization, and more. The platform offers a hands-on learning experience through coding exercises and projects, allowing users to practice and apply their skills in real-world scenarios. DataCamp also offers a personalized learning experience with adaptive learning technology that adjusts the course content based on the user's skill level and progress. It is widely used by individuals, professionals, and organizations to enhance their data science skills and stay up-to-date with the latest trends and technologies in the field.
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