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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

The project design process

Project design is not just about creating a project in MicroStrategy architect; it involves several steps and thorough analysis, such as how data is stored in the data warehouse, what reports the user wants based on the data, and so on. The following are the steps involved in our project design process:

The project design process

Logical data model design

Once the user have business requirements documented, the user must create a fact qualifier matrix to identify the attributes, facts, and hierarchies, which are the building blocks of any logical data model.

An example of a fact qualifier is as follows:

Logical data model design

A logical data model is created based on the source systems, and designed before defining a data warehouse. So, it's good for seeing which objects the users want and checking whether the objects are in the source systems. It represents the definition, characteristics, and relationships of the data. This graphical representation of information is easily understandable by business users...

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