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Key Performance Indicators in Data Warehouses
University of Skövde, School of Informatics. University of Skövde, The Informatics Research Centre. (Information Systems, Informationssystem)ORCID iD: 0000-0002-9421-8566
Pannasastra University, Phnom Penh, Cambodia.
2016 (English)In: Business Intelligence: 5th European Summer School, eBISS 2015, Barcelona, Spain, July 5-10, 2015, Tutorial Lectures / [ed] Esteban Zimányi, Alberto Abelló, Berlin, Germany: Springer Berlin/Heidelberg, 2016, 111-129 p.Chapter in book (Refereed)
Abstract [en]

Key performance indicators are widely used to manage any type of processes including manufacturing, logistics, and business processes. We present an approach to map informal specifications of key performance indicators to prototypical data warehouse designs that support the calculation of the KPIs via aggregate queries. We argue that the derivation of the key performance indicators shall start from a process definition that includes scheduling and resource information.

Place, publisher, year, edition, pages
Berlin, Germany: Springer Berlin/Heidelberg, 2016. 111-129 p.
Series
Lecture Notes in Business Information Processing, ISSN 1865-1348 ; 235
Keyword [en]
key performance indicator, data warehouse, business process
National Category
Information Systems
Research subject
Natural sciences
Identifiers
URN: urn:nbn:se:his:diva-12232DOI: 10.1007/978-3-319-39243-1_5ISI: 000383205100005ISBN: 978-3-319-39243-1 ISBN: 978-3-319-39243-4 OAI: oai:DiVA.org:his-12232DiVA: diva2:927550
Available from: 2016-05-12 Created: 2016-05-12 Last updated: 2017-11-27Bibliographically approved

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Jeusfeld, Manfred A.
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