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Microsoft SQL Server 2014 Business Intelligence Development Beginner's Guide

You're reading from   Microsoft SQL Server 2014 Business Intelligence Development Beginner's Guide Get to grips with Microsoft Business Intelligence and Data Warehousing technologies using this practical guide

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Product type Paperback
Published in May 2014
Publisher
ISBN-13 9781849688888
Length 350 pages
Edition Edition
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Authors (2):
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Reza Rad Reza Rad
Author Profile Icon Reza Rad
Reza Rad
Abolfazl Radgoudarzi Abolfazl Radgoudarzi
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Abolfazl Radgoudarzi
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Table of Contents (19) Chapters Close

Microsoft SQL Server 2014 Business Intelligence Development Beginner's Guide
Credits
About the Author
About the Reviewers
www.PacktPub.com
Preface
1. Data Warehouse Design FREE CHAPTER 2. SQL Server Analysis Services Multidimensional Cube Development 3. Tabular Model Development of SQL Server Analysis Services 4. ETL with Integration Services 5. Master Data Management 6. Data Quality and Data Cleansing 7. Data Mining – Descriptive Models in SSAS 8. Identifying Data Patterns – Predictive Models in SSAS 9. Reporting Services 10. Dashboard Design 11. Power BI 12. Integrating Reports in Applications Index

Chapter 8. Identifying Data Patterns – Predictive Models in SSAS

In the previous chapter, you learned how to use data mining for data analysis. In this chapter, we will go one step further to reveal predictions based on an existing pattern. Prediction is one of the most interesting topics of Business Intelligence, because it gives us an estimate of the future behavior of the business.

The Microsoft SSAS engine understands a specific language for prediction and works with data mining algorithms called Data Mining Extensions (DMX). In this chapter, you will learn how to compare mining models and how to apply prediction on an existing data pattern with DMX. The examples of this chapter will use the scenarios covered in the previous chapter. Also, an example of Microsoft Time Series algorithm usage will be discussed at the end of this chapter.

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