Enterprise Architecture Analysis for Data Accuracy Assessments
2009 (English)In: 2009 IEEE INTERNATIONAL ENTERPRISE DISTRIBUTED OBJECT COMPUTING CONFERENCE, Los Alamitos, CA: IEEE COMPUTER SOC , 2009, 24-33 p.Conference paper (Refereed)
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.
IEEE International Enterprise Distributed Object Computing (EDOC) Conference, ISSN 1541-7719
Enterprise Architecture, Accuracy, Data Quality
Production Engineering, Human Work Science and Ergonomics Computer and Information Science
IdentifiersURN: urn:nbn:se:kth:diva-30185DOI: 10.1109/EDOC.2009.26ISI: 000274568300003ScopusID: 2-s2.0-71249101541ISBN: 978-0-7695-3785-6 (print)OAI: oai:DiVA.org:kth-30185DiVA: diva2:400881
13th IEEE International Enterprise Distributed Object Computing Conference (EDOC 2009) Auckland, NEW ZEALAND, SEP 01-04, 2009
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QC 201102282011-02-282011-02-212012-02-23Bibliographically approved