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Enterprise Architecture Analysis for Data Accuracy Assessments
KTH, School of Electrical Engineering (EES), Industrial Information and Control Systems.
KTH, School of Electrical Engineering (EES), Industrial Information and Control Systems.ORCID iD: 0000-0002-3293-1681
KTH, School of Electrical Engineering (EES), Industrial Information and Control Systems.ORCID iD: 0000-0003-3922-9606
KTH, School of Electrical Engineering (EES), Industrial Information and Control Systems.
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2009 (English)In: 2009 IEEE INTERNATIONAL ENTERPRISE DISTRIBUTED OBJECT COMPUTING CONFERENCE, Los Alamitos, CA: IEEE COMPUTER SOC , 2009, 24-33 p.Conference paper (Refereed)
Abstract [en]

Poor data in information systems impede the quality of decision-making in many modern organizations. Manual business process activities and application services are never executed flawlessly which results in steadily deteriorating data accuracy, the further away from the source the data gets, the poorer its accuracy becomes. This paper proposes an architecture analysis method based on Bayesian Networks to assess data accuracy deterioration in a quantitative manner. The method is model-based and uses the ArchiMate language to model business processes and the way in which data objects are transformed by various operations. A case study at a Swedish utility demonstrates the approach.

Place, publisher, year, edition, pages
Los Alamitos, CA: IEEE COMPUTER SOC , 2009. 24-33 p.
Series
, IEEE International Enterprise Distributed Object Computing (EDOC) Conference, ISSN 1541-7719
Keyword [en]
Enterprise Architecture, Accuracy, Data Quality
National Category
Production Engineering, Human Work Science and Ergonomics Computer and Information Science
Identifiers
URN: urn:nbn:se:kth:diva-30185DOI: 10.1109/EDOC.2009.26ISI: 000274568300003ScopusID: 2-s2.0-71249101541ISBN: 978-0-7695-3785-6OAI: oai:DiVA.org:kth-30185DiVA: diva2:400881
Conference
13th IEEE International Enterprise Distributed Object Computing Conference (EDOC 2009) Auckland, NEW ZEALAND, SEP 01-04, 2009
Note
© 2009 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. QC 20110228Available from: 2011-02-28 Created: 2011-02-21 Last updated: 2012-02-23Bibliographically approved

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Närman, PerJohnson, PontusEkstedt, MathiasChenine, MoustafaKönig, Johan
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Production Engineering, Human Work Science and ErgonomicsComputer and Information Science

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