Management of data value chains, a value monitoring capability
maturity model
Brennan, RobORCID: 0000-0001-8236-362X, Attard, JudieORCID: 0000-0001-7507-1864 and Helfert, MarkusORCID: 0000-0001-6546-6408
(2018)
Management of data value chains, a value monitoring capability
maturity model.
In: 20th International Conference on Enterprise Information Systems (ICEIS), 21-23 Mar 2018, Funchal, Madeira, Portugal.
ISBN 978-989-758-298-1
This paper identifies management capabilities for data value chains as a gap in current data value research.
It specifies a data value management capability framework and a first data value monitoring capability
maturity model (CMM). This framework and CMM will enable organisations to identify and measure the
current state of their data value monitoring processes, and show how to take steps to enhance value
monitoring in order to exploit the full data value potential in their organisation. This new approach to data
value management is needed since, despite the success of Big Data and the appeal of the data-driven
enterprise, there is little evidence-based guidance for maximising data value creation. To date, most data
value optimisation has focused on technological gains such as data platforms or analytics, without bridging
the gap to organisational knowledge or human factors research. The evidence of best practice gathered here
from the state of the art shows that there is a hierarchy of data value dimensions for data value monitoring,
starting with cost and peaking with utility (understanding value creation). The models are validated by a
case study of three organisations that are managing data value and using it to support strategic decision-
making.
Item Type:
Conference or Workshop Item (Paper)
Event Type:
Conference
Refereed:
Yes
Uncontrolled Keywords:
Data Value; Business-IT Alignment; Business Value of IT; Governance of IS organisation
Camp, Olivier and Filipe, Joaquim, (eds.)
Proceedings of the 20th International Conference on Enterprise Information Systems. International Conference on Enterprise Information Systems
2.
Scitepress. ISBN 978-989-758-298-1
This item is licensed under a Creative Commons Attribution-NonCommercial-Share Alike 3.0 License. View License
Funders:
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
ID Code:
22981
Deposited On:
15 Feb 2019 12:57 by
Thomas Murtagh
. Last Modified 15 Feb 2019 12:57