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Mastering Business Intelligence with MicroStrategy

You're reading from   Mastering Business Intelligence with MicroStrategy Master Business Intelligence with Microstrategy 10

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Product type Paperback
Published in Jul 2016
Publisher Packt
ISBN-13 9781785884405
Length 396 pages
Edition 1st Edition
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Authors (4):
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Neil Mehta Neil Mehta
Author Profile Icon Neil Mehta
Neil Mehta
Himani Rana Himani Rana
Author Profile Icon Himani Rana
Himani Rana
Ning Ma Ning Ma
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Ning Ma
Dmitry Anoshin Dmitry Anoshin
Author Profile Icon Dmitry Anoshin
Dmitry Anoshin
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Table of Contents (13) Chapters Close

Preface 1. Getting Started with MicroStrategy FREE CHAPTER 2. Setting Up an Analytics Semantic Layer and Public Objects 3. Building Advanced Reports and Documents 4. Advanced Visualization Techniques 5. Customization of MicroStrategy 6. Predictive Analysis with MicroStrategy 7. Accelerating Your Business with Mobile Analytics 8. Data Discovery with MicroStrategy Desktop 9. MicroStrategy System Administration 10. Design and Implementation of the Security Model 11. Big Data Analytics with MicroStrategy 12. MicroStrategy Troubleshooting

Performing cohort analysis


Another very popular analysis is cohort analysis, which is used to research the behavior of a group of people over time. In MicroStrategy Desktop, we can perform cohort analysis in order to study different groupings to understand customers' behavior, cause and effect relationships, and so on. In business, cohort analysis is very popular for exploring customer retention over time. Usually, a cohort is defined by the date of first purchase or registration; sometimes we can use demographic attributes. Using cohort analysis we can simply track customer engagement.

Our dataset has the data for first purchases. We can build cohorts by grouping people by the year and month of their first purchase and then see how they perform.

Before we start we should build some derived elements in order to get the months between the first order and all other orders:

  1. The date of the first purchase has a string format. We should convert it to the data. Right-click on any attribute and choose...

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