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Extreme DAX

Extreme DAX

By : Michiel Rozema, Henk Vlootman
4.9 (44)
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Extreme DAX

Extreme DAX

4.9 (44)
By: Michiel Rozema, Henk Vlootman

Overview of this book

This book helps business analysts generate powerful and sophisticated analyses from their data using DAX and get the most out of Microsoft Business Intelligence tools. Extreme DAX will first teach you the principles of business intelligence, good model design, and how DAX fits into it all. Then, you’ll launch into detailed examples of DAX in real-world business scenarios such as inventory calculations, forecasting, intercompany business, and data security. At each step, senior DAX experts will walk you through the subtleties involved in working with Power BI models and common mistakes to look out for as you build advanced data aggregations. You’ll deepen your understanding of DAX functions, filters, and measures, and how and when they can be used to derive effective insights. You’ll also be provided with PBIX files for each chapter, so that you can follow along and explore in your own time.
Table of Contents (17 chapters)
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Free Chapter
1
Part I: Introduction
6
Part II: Business cases
15
Other Books You May Enjoy
16
Index

Summary

In this chapter, we have dealt with analyzing inventory data, although the kind of analysis in this chapter can be applied to all sorts of status-oriented data.

We have discussed different ways to model this kind of data, how to calculate inventory status at some point in time, and how to compare actuals with targets.

You have also seen different ways to look into the future. As inventory is typically needed to fulfill sales orders, being able to estimate future stock levels is a valuable capability. We have covered creating a future inventory outlook through sales forecasts and through extrapolation based on average shipment volumes. We have also shown you how to do linear regression in DAX, providing a slightly more sophisticated method to predict future shipments and extrapolate current inventory levels to the future.

More advanced ways to extrapolate or predict future inventory than the ones covered in this chapter are possible as well; you could create extrapolations...

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