Exploring the Value of Data – a Research Agenda
Abstract:
Big data has been a technological quantum leap in recent years. Organizations
are provided the opportunity to leverage this data by applying analytics
to derive competitive advantages and increase operational efficiencies.
However, the amount of value that is hidden within a set of data can often only
be determined when used in a particular context. Being able to determine the
value of their data assets as such is an even greater challenge for organizations.
We conducted a structured literature review and identified three clusters of discussion
in IS literature that address the value of data form different perspectives.
Based on this review and the literature gap identified, we propose a research
agenda to (1) identify the factors that influence the value of data, (2) cluster data
according to value, (3) develop value-based data governance guidelines, and (4)
quantify the value contribution of a single data source.
are provided the opportunity to leverage this data by applying analytics
to derive competitive advantages and increase operational efficiencies.
However, the amount of value that is hidden within a set of data can often only
be determined when used in a particular context. Being able to determine the
value of their data assets as such is an even greater challenge for organizations.
We conducted a structured literature review and identified three clusters of discussion
in IS literature that address the value of data form different perspectives.
Based on this review and the literature gap identified, we propose a research
agenda to (1) identify the factors that influence the value of data, (2) cluster data
according to value, (3) develop value-based data governance guidelines, and (4)
quantify the value contribution of a single data source.
| Zugehörige Institution(en) am KIT | Karlsruhe Service Research Institute (KSRI) |
| Publikationstyp | Proceedingsbeitrag |
| Publikationsjahr | 2018 |
| Sprache | Englisch |
| Identifikator | ISBN: 978-3-030-00712-6 ISSN: 1865-1348 KITopen-ID: 1000085534 |
| Erschienen in | Exploring Service Science : 9th International Conference, IESS 2018 Karlsruhe, Germany, September 19–21, 2018 Proceedings. Ed.: G. Satzger |
| Verlag | Springer Nature |
| Seiten | 274-286 |
| Serie | Lecture Notes in Business Information Processing ; 331 |
| Schlagwörter | big data, data value, analytics |
| Nachgewiesen in | Dimensions Scopus |