Fuzzy Data Warehousing for Performance Measurement
Concept and Implementation
Authors: Fasel, Daniel
Free Preview- 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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- 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
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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)
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Introduction
Pages 1-8
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Fundamental Concepts
Pages 11-42
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Fuzzy Data Warehouse
Pages 43-114
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Application of Fuzzy Data Warehouse
Pages 117-150
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Implementation of Fuzzy Data Warehouse
Pages 153-182
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Table of contents (6 chapters)
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Bibliographic Information
- Bibliographic Information
-
- Book Title
- Fuzzy Data Warehousing for Performance Measurement
- Book Subtitle
- Concept and Implementation
- Authors
-
- Daniel Fasel
- 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
- 109 b/w illustrations
- Topics
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