Abstract
Poor 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.
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Vaknin, M., Filipowska, A. (2017). Information Quality Framework for the Design and Validation of Data Flow Within Business Processes - Position Paper. In: Abramowicz, W., Alt, R., Franczyk, B. (eds) Business Information Systems Workshops. BIS 2016. Lecture Notes in Business Information Processing, vol 263. Springer, Cham. https://doi.org/10.1007/978-3-319-52464-1_15
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