Exploring data value assessment: a survey method and investigation of the perceived relative importance of data value dimensions
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Accepted Version
Date
2019-05
Authors
Brennan, Rob
Attard, Judie
Petkov, Plamen
Nagle, Tadhg
Helfert, Markus
Journal Title
Journal ISSN
Volume Title
Publisher
SciTePress
Published Version
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 communityĆ¢ 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.
Description
Keywords
Data value , Business-IT alignment , Business value of IT , Data governance
Citation
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', Proceedings of the 21st International Conference on Enterprise Information Systems (Volume 1), Heraklion, Crete, Greece, 3-5 May, pp. 200-207. doi: 10.5220/0007723402000207
Copyright
Ā© 2019, SCITEPRESS ā Science and Technology Publications, Lda. All rights reserved. This is the accepted manuscript version of a paper which has been published in final form at: https://doi.org/10.5220/0007723402000207