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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

Time for action – predicting prospective bike buyers


In this example, we will add a case table that contains only a list of new customers with attributes such as yearly income, total children, gender, and so on. Then we will apply DMX queries on the mining model and the case table to find out the list of prospective bike buyers. The prerequisite for running this example is the decision tree example mentioned in the previous chapter. Perform the following steps to predict prospective bike buyers:

  1. Open the Adventure Works DW2012.dsv designer.

  2. Right-click on a blank area in it and click on Add/Remove Tables. Select the ProspectiveBuyer(dbo) table and add it to the DSV.

  3. Right-click on the ProspectiveBuyer table in the DSV and explore its data. You will see that most of the input variables of the Target mail mining algorithms are supported as columns of this table.

  4. Save the DSV and open Target Mail Mining Structure and go to the Mining Model Prediction tab.

  5. In the Mining Model pane, on the top left...

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