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Achieving desired performance objectives in the energy sector through data analytics

Achieving desired performance objectives in the energy sector through data analytics The deployment of information technology (IT) systems in critical infrastructure (CI) sectors has gained a lot of support because of benefits such as cost savings and increased efficiencies. Unfortunately, the deployment can enable IT vulnerabilities. Senior leaders in CI sectors now find themselves in unfamiliar territory having very limited experience with IT systems and networks. Consequently, they are relying upon intuition and, in some cases, unrelated experiences to make strategic decisions that can have dire consequences. The attention to hiring highly specialised data professionals can be a challenge because of the scarcity of qualified persons available. This paper promotes the alternative of focusing on a culture change that encourages a more data-driven decision making approach. Results show that the utilities component of the Cl's energy sector can reap immediate benefits from decision making that uses a data-driven, analytical approach to assess facilities operations, security, and resilience. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png International Journal of Critical Infrastructures Inderscience Publishers

Achieving desired performance objectives in the energy sector through data analytics

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Publisher
Inderscience Publishers
Copyright
Copyright © Inderscience Enterprises Ltd
ISSN
1475-3219
eISSN
1741-8038
DOI
10.1504/IJCIS.2017.088237
Publisher site
See Article on Publisher Site

Abstract

The deployment of information technology (IT) systems in critical infrastructure (CI) sectors has gained a lot of support because of benefits such as cost savings and increased efficiencies. Unfortunately, the deployment can enable IT vulnerabilities. Senior leaders in CI sectors now find themselves in unfamiliar territory having very limited experience with IT systems and networks. Consequently, they are relying upon intuition and, in some cases, unrelated experiences to make strategic decisions that can have dire consequences. The attention to hiring highly specialised data professionals can be a challenge because of the scarcity of qualified persons available. This paper promotes the alternative of focusing on a culture change that encourages a more data-driven decision making approach. Results show that the utilities component of the Cl's energy sector can reap immediate benefits from decision making that uses a data-driven, analytical approach to assess facilities operations, security, and resilience.

Journal

International Journal of Critical InfrastructuresInderscience Publishers

Published: Jan 1, 2017

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