Information Quality Framework for the Design and Validation of Data Flow Within Business Processes - Position Paper
Michael Vaknin , Agata Filipowska
AbstractPoor data quality may be a cause for problems in organizational processes. There are numerous methods to assess and improve quality of data within information systems, however they often do not address the original source of these problems. This paper presents a conceptual solution for dealing with the data quality issue within information systems. It focuses on analysis of business processes being a source of requirements for information systems design and development. This analysis benefits information quality requirements, in order to improve data quality within systems emerging from these requirements.
|Publication size in sheets||0.5|
|Book||Abramowicz Witold, Alt Rainer, Franczyk Bogdan (eds.): Business Information Systems Workshops BIS 2016 International Workshops, Leipzig, Germany, July 6-8, 2016, Revised Papers, Lecture Notes in Business Information Processing, vol. 263, 2017, Springer, ISBN 978-3-319-52463-4, [978-3-319-52464-1], 430 p., DOI:10.1007/978-3-319-52464-1|
|Keywords in English||Data/information quality; Business process modeling; IS/IT alignment; IS/IT design; Data quality dimensions|
|ASJC Classification||; ; ; ; ;|
|Score||= 70.0, 25-03-2020, ChapterFromConference|
|Publication indicators||= 0|
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