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Exploring Data Value Assessment: A Survey Method and Investigation of the Perceived Relative Importance of Data Value Dimensions

Topics: Business-It Allignment; EA Adoption and Governance; Measurements, Metrics and Evaluation of EA Artefacts and Processes; Models and Frameworks; Organisational Issues on Systems Integration; Requirements Analysis And Management

Authors: Rob Brennan 1 ; Judie Attard 2 ; Plamen Petkov 1 ; Tadhg Nagle 3 and Markus Helfert 4

Affiliations: 1 ADAPT Centre, School of Computing, Dublin City University, Dublin 9 and Ireland ; 2 ADAPT Centre, School of Computer Science and Statistics, Trinity College Dublin, Dublin 2 and Ireland ; 3 Department of Accounting, Finance and Information Systems, University College Cork and Ireland ; 4 LERO Centre, School of Computing, Dublin City University, Dublin 9 and Ireland

ISBN: 978-989-758-372-8

Keyword(s): Data Value, Business-IT Alignment, Business Value of IT, Data Governance.

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. (More)

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Paper citation in several formats:
Brennan, R.; Attard, J.; Petkov, P.; Nagle, T. and Helfert, M. (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 - Volume 1: ICEIS, ISBN 978-989-758-372-8, pages 200-207. DOI: 10.5220/0007723402000207

@conference{iceis19,
author={Rob Brennan. and Judie Attard. and Plamen Petkov. and Tadhg Nagle. and Markus Helfert.},
title={Exploring Data Value Assessment: A Survey Method and Investigation of the Perceived Relative Importance of Data Value Dimensions},
booktitle={Proceedings of the 21st International Conference on Enterprise Information Systems - Volume 1: ICEIS,},
year={2019},
pages={200-207},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0007723402000207},
isbn={978-989-758-372-8},
}

TY - CONF

JO - Proceedings of the 21st International Conference on Enterprise Information Systems - Volume 1: ICEIS,
TI - Exploring Data Value Assessment: A Survey Method and Investigation of the Perceived Relative Importance of Data Value Dimensions
SN - 978-989-758-372-8
AU - Brennan, R.
AU - Attard, J.
AU - Petkov, P.
AU - Nagle, T.
AU - Helfert, M.
PY - 2019
SP - 200
EP - 207
DO - 10.5220/0007723402000207

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