Fuzzy Management Methods

Fuzzy Data Warehousing for Performance Measurement

Concept and Implementation

Authors: Fasel, Daniel

  • Presents an innovative approach for qualitative data analysis that is close to human reasoning
  • A practical use case example explains how to integrate fuzzy concepts in existing data warehouses
  • Provides a fuzzy data warehouse architecture overview using common open-source technologies
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eBook $99.00
price for USA (gross)
  • ISBN 978-3-319-04226-8
  • Digitally watermarked, DRM-free
  • Included format: EPUB, PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover $129.00
price for USA
  • ISBN 978-3-319-04225-1
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Softcover $129.00
price for USA
  • Customers within the U.S. and Canada please contact Customer Service at 1-800-777-4643, Latin America please contact us at +1-212-460-1500 (Weekdays 8:30am – 5:30pm ET) to place your order.
  • Due: October 20, 2016
  • ISBN 978-3-319-35581-8
  • Free shipping for individuals worldwide
About this book

The numeric values retrieved from a data warehouse may be difficult for business users to interpret, and may even be interpreted incorrectly. Therefore, in order to better ​understand numeric values, business users may require an interpretation in meaningful, non-numeric terms. However, if the transition between non-numeric terms is crisp, true values cannot be measured and a smooth transition between classes may no longer be possible. This book addresses this problem by presenting a fuzzy classification-based approach for a data warehouses. Moreover, it introduces a modeling approach for fuzzy data warehouses that makes it possible to integrate fuzzy linguistic variables in a meta-table structure. The essence of this structure is that fuzzy concepts can be integrated into the dimensions and facts of an existing classical data warehouse without affecting its core. This allows a simultaneous analysis, both fuzzy and crisp. A case study of a movie rental company underlines and exemplifies the proposed approach.

 

About the authors

Dr. Daniel Fasel is the founder, CEO and President of the Managerial Board at Scigility. Previously, he served as the first data scientist on the business intelligence team at Swisscom and was key in implementing NoSQL technologies for explorative analytics during his time there. Before focusing on data science and NoSQL technologies, he was a BI Engineer for the contract and customer field - a core component of the Swisscom Data Warehouse. He also served as a BI Architect and Administrator for the Oracle Hyperion Essbase cubes. In 2012, he received his Ph.D. in economics from the University of Fribourg.

 

Table of contents (6 chapters)

Buy this book

eBook $99.00
price for USA (gross)
  • ISBN 978-3-319-04226-8
  • Digitally watermarked, DRM-free
  • Included format: EPUB, PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover $129.00
price for USA
  • ISBN 978-3-319-04225-1
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Softcover $129.00
price for USA
  • Customers within the U.S. and Canada please contact Customer Service at 1-800-777-4643, Latin America please contact us at +1-212-460-1500 (Weekdays 8:30am – 5:30pm ET) to place your order.
  • Due: October 20, 2016
  • ISBN 978-3-319-35581-8
  • Free shipping for individuals worldwide
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Bibliographic Information

Bibliographic Information
Book Title
Fuzzy Data Warehousing for Performance Measurement
Book Subtitle
Concept and Implementation
Authors
Series Title
Fuzzy Management Methods
Copyright
2014
Publisher
Springer International Publishing
Copyright Holder
Springer International Publishing Switzerland
eBook ISBN
978-3-319-04226-8
DOI
10.1007/978-3-319-04226-8
Hardcover ISBN
978-3-319-04225-1
Softcover ISBN
978-3-319-35581-8
Series ISSN
2196-4130
Edition Number
1
Number of Pages
XXIV, 236
Number of Illustrations and Tables
109 b/w illustrations
Topics