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    Exploring data value assessment: a survey method and investigation of the perceived relative importance of data value dimensions


    Brennan, Rob and Attard, Judie and Petkov, Plamen and Nagle, Tadhg and Helfert, Markus (2019) Exploring data value assessment: a survey method and investigation of the perceived relative importance of data value dimensions. In: Proceedings of the 21st International Conference on Enterprise Information Systems (ICEIS 2019). SciTePress: Science and Technology Publications, Lda. ISBN 9783030407834

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    Abstract

    This paper describes the development and execution of a data value assessment survey of data professionals and academics. Its purpose was to explore more effective data value assessment techniques and to better understand the perceived relative importance of data value dimensions for data practitioners. This is important because despite the current deep interest in data value, there is a lack of data value assessment techniques and no clear understanding of how individual data value dimensions contribute to a holistic model of data value. A total of 34 datasets were assessed in a field study of 20 organisations in a range of sectors from finance to aviation. It was found that in 17 out of 20 of the organisations contacted that no data value assessment had previously taken place. All the datasets evaluated were considered valuable organisational assets and the operational impact of data was identified as the most important data value dimension. These results can inform the community’s search for data value models and assessment techniques. It also assists further development of capability maturity models for data value assessment and monitoring. This is to our knowledge the first publication of the underlying data for a multi-organization data value assessment and as such it represents a new stage in the evolution of evidence-based data valuation.

    Item Type: Book Section
    Additional Information: Funding: This research was partially supported by Science Foundation Ireland and co-funded by the European Regional Development Fund through the ADAPT Centre for Digital Content Technology [grant number 13/RC/2106] and grant 13/RC/2094 co-funded under the European Regional Development Fund through the Southern and Eastern Regional Operational Programme to Lero - the Irish Software Research Centre (www.lero.ie). This paper has also received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Sklodowska-Curie grant agreement No. 713567 (EDGE). Cite as: Brennan, R., Attard, J., Petkov, P., Nagle, T. and Helfert, M. Exploring Data Value Assessment: A Survey Method and Investigation of the Perceived Relative Importance of Data Value Dimensions. DOI: 10.5220/0007723402000207 In Proceedings of the 21st International Conference on Enterprise Information Systems (ICEIS 2019), pages 200-207 ISBN: 978-989-758-372-8
    Keywords: Data Value; Business-IT Alignment; Business Value of IT; Data Governance;
    Academic Unit: Faculty of Social Sciences > School of Business
    Faculty of Social Sciences > Research Institutes > Innovation Value Institute, IVI
    Item ID: 14246
    Identification Number: https://doi.org/10.5220/0007723402000207
    Depositing User: Markus Helfert
    Date Deposited: 24 Mar 2021 15:16
    Publisher: SciTePress: Science and Technology Publications, Lda
    Refereed: Yes
    Funders: Science Foundation Ireland (SFI), European Regional Development Fund, European Union’s Horizon 2020 research and innovation programme
    URI:

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