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Information Quality Framework for the Design and Validation of Data Flow Within Business Processes - Position Paper

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Business Information Systems Workshops (BIS 2016)

Part of the book series: Lecture Notes in Business Information Processing ((LNBIP,volume 263))

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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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Author information

Authors and Affiliations

  1. Department of Information Systems, Faculty of Informatics and Electronic Economy, Poznan University of Economics and Business, Poznan, Poland

    Michael Vaknin & Agata Filipowska

Authors
  1. Michael Vaknin
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  2. Agata Filipowska
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Correspondence to Michael Vaknin .

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Editors and Affiliations

  1. Poznań University of Economics and Business, Poznan, Poland

    Witold Abramowicz

  2. Leipzig University, Leipzig, Germany

    Rainer Alt

  3. Leipzig University, Leipzig, Germany

    Bogdan Franczyk

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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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