Book description
The new challenge of integrated solutions is to get more
knowledge from data in order to build the most valuable solutions.
This IBM Redbooks publication is a solution guide to address the
business issues in retail by real usage experience and to position
the value of DB2 Intelligent Miner For Data in a Business
Intelligence architecture.
Typical retail issues are addressed in this book, such as:
How can I characterize my customers from the mix of products that
they purchase? How can I decide which products to recommend to my
customers? How can I categorize my customers and identify new
potential customers?
This book also describes a data mining method to ensure that the
optimum results are obtained. It details for each business
issue:
- What common data model to use
- How to source the data
- How to evaluate the model
- What data mining technique to use
- How to interpret the results
- How to deploy the model
Business users who want to know the payback on their organization
when using the DB2 Intelligent Miner For Data solution should read
the sections about the business issues, how to interpret the
results, and how to deploy the model in the enterprise.
Implementers who want to start using mining techniques should read
the sections about how to define the common data model to use, how
to source the data, and how to choose the data mining
techniques.
Table of contents
- Preface
- Chapter 1: Introduction
- Chapter 2: Business Intelligence architecture overview
- Chapter 3: A generic data mining method
- Chapter 4: How can I characterize my customers from the mix of products that they purchase?
- Chapter 5: How can I categorize my customers and identify new potential customers?
-
Chapter 6: How can I decide which products to recommend to my customers?
- The business issue
- The data to be used
- Sourcing and preprocessing the data
- Evaluating the data
-
The mining technique
- The associations mining technique
- Applying the mining technique (1/2)
- Applying the mining technique (2/2)
- Using the associations results to compute the product records
- Generating scores using only the product hierarchy
- Generating scores including association rules
- Selecting the products to recommend
- Interpreting the results
- Deploying the mining results
- Chapter 7: The value of DB2 Intelligent Miner For Data
- Related publications
- Special notices
- Glossary
- Index (1/2)
- Index (2/2)
- Back cover
Product information
- Title: Mining Your Own Business in Retail Using DB2 Intelligent Miner for Data
- Author(s):
- Release date: August 2001
- Publisher(s): IBM Redbooks
- ISBN: 9780738422947
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