Book Image

Extreme DAX

By : Michiel Rozema, Henk Vlootman
Book Image

Extreme DAX

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)
Free Chapter
1
Part I: Introduction
6
Part II: Business cases
15
Other Books You May Enjoy
16
Index

Inventory Analysis

This chapter is all about analyzing inventory levels and changes in inventory. This is a specific kind of analysis, as we are interested in the status of something, in this case inventory quantity or value, at a specific point in time.

An inventory report could provide insights into how inventory levels vary over time, and which products risk running out of inventory. And, on the other side of the spectrum, you may have simply too much inventory for a product relative to its turnover speed – although the question "how much inventory is too much?" is not a simple one to answer. As an example, in this chapter, we will calculate the number of products that are likely to be still in stock twelve months from now, given a sales forecast. It may seem obvious that products that are on the shelves for a year could have been produced or purchased later, saving the company money.

Although this chapter uses product inventory for our beloved QuantoBikes...