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Extreme DAX

You're reading from   Extreme DAX Take your Power BI and Microsoft data analytics skills to the next level

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Product type Paperback
Published in Jan 2022
Publisher Packt
ISBN-13 9781801078511
Length 470 pages
Edition 1st Edition
Languages
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Authors (2):
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Henk Vlootman Henk Vlootman
Author Profile Icon Henk Vlootman
Henk Vlootman
Michiel Rozema Michiel Rozema
Author Profile Icon Michiel Rozema
Michiel Rozema
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Toc

Table of Contents (17) Chapters Close

Preface Part I: Introduction FREE CHAPTER
1.1 DAX in Business Intelligence 1.2 Model Design 1.3 Using DAX 1.4 Context and Filtering Part II: Business cases
2.1 Security with DAX 2.2 Dynamically Changing Visualizations 2.3 Alternative Calendars 2.4 Working with AutoExist 2.5 Intercompany Business 2.6 Exploring the Future: Forecasting and Future Values 2.7 Inventory Analysis 2.8 Personnel Planning Other Books You May Enjoy
Index

Inventory forecasting

You have now seen some examples of inventory calculations. In some way, the measures describe a static view of inventory: the quantities at a specific point in time, and the differences compared to a fixed inventory target level. In reality, inventory is constantly in flux: products are shipped from our warehouses, and new products come in from manufacturing. It is therefore more interesting to take turnover speed into account when we analyze inventory. And as the real business value comes from balancing our inventory levels as exactly as possible with our sales, we want to have some way of looking into the future of our inventory. In other words, what we want is an inventory forecast.

Two types of forecast

There are, of course, many ways to get a prediction of the future state of inventory. We will cover two options here: first, using a sales forecast that is provided by salespeople, and second, extrapolating changes in the inventory that have occurred...

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