Fuzzy Management Methods

Fuzzy Data Warehousing for Performance Measurement

Concept and Implementation

Autoren: 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
Weitere Vorteile

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eBook 91,62 €
Preis für Deutschland (Brutto)
  • ISBN 978-3-319-04226-8
  • Versehen mit digitalem Wasserzeichen, DRM-frei
  • Erhältliche Formate: EPUB, PDF
  • eBooks sind auf allen Endgeräten nutzbar
  • Sofortiger eBook Download nach Kauf
Hardcover 117,69 €
Preis für Deutschland (Brutto)
  • ISBN 978-3-319-04225-1
  • Kostenfreier Versand für Individualkunden weltweit
  • Gewöhnlich versandfertig in 3-5 Werktagen.
Softcover 117,69 €
Preis für Deutschland (Brutto)
  • ISBN 978-3-319-35581-8
  • Kostenfreier Versand für Individualkunden weltweit
  • Gewöhnlich versandfertig in 3-5 Werktagen.
Über dieses Buch

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.

 

Über den Autor

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.

 

Inhaltsverzeichnis (6 Kapitel)

Dieses Buch kaufen

eBook 91,62 €
Preis für Deutschland (Brutto)
  • ISBN 978-3-319-04226-8
  • Versehen mit digitalem Wasserzeichen, DRM-frei
  • Erhältliche Formate: EPUB, PDF
  • eBooks sind auf allen Endgeräten nutzbar
  • Sofortiger eBook Download nach Kauf
Hardcover 117,69 €
Preis für Deutschland (Brutto)
  • ISBN 978-3-319-04225-1
  • Kostenfreier Versand für Individualkunden weltweit
  • Gewöhnlich versandfertig in 3-5 Werktagen.
Softcover 117,69 €
Preis für Deutschland (Brutto)
  • ISBN 978-3-319-35581-8
  • Kostenfreier Versand für Individualkunden weltweit
  • Gewöhnlich versandfertig in 3-5 Werktagen.
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Bibliografische Information

Bibliographic Information
Buchtitel
Fuzzy Data Warehousing for Performance Measurement
Buchuntertitel
Concept and Implementation
Autoren
Titel der Buchreihe
Fuzzy Management Methods
Copyright
2014
Verlag
Springer International Publishing
Copyright Inhaber
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
Buchreihen ISSN
2196-4130
Auflage
1
Seitenzahl
XXIV, 236
Anzahl der Bilder und Tabellen
109 schwarz-weiß Abbildungen
Themen