Document Warehousing and Text Mining: Techniquesfor Improving Business Operations, Marketing, andSales
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More About This Title Document Warehousing and Text Mining: Techniquesfor Improving Business Operations, Marketing, andSales
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DAN SULLIVAN, Director of Data Warehousing at Computer Resource Team Inc., designs business intelligence solutions for a variety of industries. He has 15 years of experience in developing natural language processing and database applications and is widely published on data warehousing and text analysis for business intelligence.
English
Acknowledgments.
Preface.
TEXT ANALYSIS FOR BUSINESS INTELLIGENCE.
Expanding the Scope of Business Intelligence.
Understanding the Structure of Text: The Foundation of Text-Based Business Intelligence.
Exploiting the Structure of Text.
DOCUMENT WAREHOUSING.
Overview of Document Warehousing.
Meeting Business Intelligence Requirements: More Than Just Numbers.
Designing the Document Warehouse Architecture.
Finding and Retrieving Relevant Text.
Loading and Transforming Documents.
Managing Document Warehouse Metadata.
Ensuring Document Warehouse Integrity.
Choosing Tools for Building the Document Warehouse.
Developing a Document Warehouse: A Checklist.
TEXT MINING.
What Is Text Mining?
Know Thyself: Using Text Mining for Operational Management.
Knowing Your Business-to-Business Customer: Text Mining for Customer Relationship Management.
Text Mining for Competitive Intelligence.
Text Mining Tools.
CONCLUSION.
Changes in Business Intelligence.
Appendix A: Templates.
Appendix B: Tools and Resources.
Appendix C: Basic Document Warehouse Data Model.
Bibliography.
Glossary.
Index.
Preface.
TEXT ANALYSIS FOR BUSINESS INTELLIGENCE.
Expanding the Scope of Business Intelligence.
Understanding the Structure of Text: The Foundation of Text-Based Business Intelligence.
Exploiting the Structure of Text.
DOCUMENT WAREHOUSING.
Overview of Document Warehousing.
Meeting Business Intelligence Requirements: More Than Just Numbers.
Designing the Document Warehouse Architecture.
Finding and Retrieving Relevant Text.
Loading and Transforming Documents.
Managing Document Warehouse Metadata.
Ensuring Document Warehouse Integrity.
Choosing Tools for Building the Document Warehouse.
Developing a Document Warehouse: A Checklist.
TEXT MINING.
What Is Text Mining?
Know Thyself: Using Text Mining for Operational Management.
Knowing Your Business-to-Business Customer: Text Mining for Customer Relationship Management.
Text Mining for Competitive Intelligence.
Text Mining Tools.
CONCLUSION.
Changes in Business Intelligence.
Appendix A: Templates.
Appendix B: Tools and Resources.
Appendix C: Basic Document Warehouse Data Model.
Bibliography.
Glossary.
Index.
