Analyzing Data with Power BI and Power Pivot for Excel

How can you use Excel and Power BI to gain real insights into your information? As you examine your data, how do you write a formula that provides the numbers you need? The answers to both of these questions lie with the data model. This book introduces the basic techniques for shaping data models in Excel and Power BI. It’s meant for readers who are new to data modeling as well as for experienced data modelers looking for tips from the experts. If you want to use Power BI or Excel to analyze data, the many real-world examples in this book will help you look at your reports in a different way—like experienced data modelers do. As you’ll soon see, with the right data model, the correct answer is always a simple one!

By reading this book, you will:

  • Gain an understanding of the basics of data modeling, including tables, relationships, and keys
  • Familiarize yourself with star schemas, snowflakes, and common modeling techniques
  • Learn the importance of granularity
  • Discover how to use multiple fact tables, like sales and purchases, in a complex data model
  • Manage calendar-related calculations by using date tables
  • Track historical attributes, like previous addresses of customers or manager assignments
  • Use snapshots to compute quantity on hand
  • Work with multiple currencies in the most efficient way
  • Analyze events that have durations, including overlapping durations
  • Learn what data model you need to answer your specific business questions

About this book

  • For Excel and Power BI users who want to exploit the full power of their favorite tools
  • For BI professionals seeking new ideas for modeling data

Table of Contents

  • CHAPTER 1 – Introduction to data modeling
  • CHAPTER 2 – Using header/detail tables
  • CHAPTER 3 – Using multiple fact tables
  • CHAPTER 4 – Working with date and time
  • CHAPTER 5 – Tracking historical attributes
  • CHAPTER 6 – Using snapshots
  • CHAPTER 7 – Analyzing date and time intervals
  • CHAPTER 8 – Many-to-many relationships
  • CHAPTER 9 – Working with different granularity
  • CHAPTER 10 – Segmentation data models
  • CHAPTER 11 – Working with multiple currencies
  • APPENDIX A – Data modeling 101
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Brilliance through simplicity

Luiz Fernando (Oct 2, 2017):

No matter if you have good data modeling skills or not, this book will be a nice refresher which serves as both to formalize as to structure your knowledge or to introduce you to data modeling. Worth every cent.

Great book on how to build data models — a critical skill for finance analysts

Larry Johnson (May 11, 2017):

I’ve just started reading the book. Looks great. It’s not a big book at just over 200 pages but in some ways that’s good. It’s focused on concepts of building data models which is a critical skill for finance analysts. Is focused on practical examples and illustrations. I’ve bought all of the previous books by these authors and found them all to be great.

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