Implementation considerations for Big Data Analytics (BDA) : a benefit dependency network approach

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dc.contributor.author Maritz, Juane
dc.contributor.author Eybers, Sunet
dc.contributor.author Hattingh, Maria J. (Marie)
dc.date.accessioned 2021-09-15T07:16:57Z
dc.date.available 2021-09-15T07:16:57Z
dc.date.issued 2020-04
dc.description.abstract The benefits of Big Data Analytics (BDA) are substantial in instances where organisations manage to successfully implement analytical capabilities. These benefits include improved, data driven decision-making, which can lead to deeper insight into business operations and as a result better performing organisations. Not surprisingly, an increased number of organisations are researching best implementation practices for BDA projects. Similar to software projects, research has shown that many BDA projects fail or do not deliver the business value as promised. To address this issue, the main objective of this research is to identify BDA implementation considerations for new BDA endeavors that will help organisations to align their BDA efforts with their overall business strategy to maximize business value. Based on a Benefit Dependency Network (BDN) model as main theoretical underpinning, a structured literature review was conducted focusing on investment objectives, business benefits, enabling changes and IT enablers when implementing BDA. A BDA implementation requires a holistic approach by considering aspects such as the skills of people which will have an impact on the structure of the organisation, business processes and technology changes to deliver benefits and investment objectives. Each of the domains of the BDN should be considered prior to BDA implementations. The research offers a guideline to organisations implementing BDA, based on the foundation of BDN. en_ZA
dc.description.department Informatics en_ZA
dc.description.librarian hj2021 en_ZA
dc.description.uri http://link.springer.combookseries/558 en_ZA
dc.identifier.citation Maritz J., Eybers S., Hattingh M. (2020) Implementation Considerations for Big Data Analytics (BDA): A Benefit Dependency Network Approach. In: Hattingh M., Matthee M., Smuts H., Pappas I., Dwivedi Y., Mäntymäki M. (eds) Responsible Design, Implementation and Use of Information and Communication Technology. I3E 2020. Lecture Notes in Computer Science, vol 12066. Springer, Cham. https://doi.org/10.1007/978-3-030-44999-5_40. en_ZA
dc.identifier.isbn 978-3-030-44999-5 (online)
dc.identifier.isbn 978-3-030-44998-8
dc.identifier.issn 0302-9743 (print)
dc.identifier.issn 1611-3349 (online)
dc.identifier.other 10.1007/978-3-030-44999-5_40
dc.identifier.uri http://hdl.handle.net/2263/81835
dc.language.iso en en_ZA
dc.publisher Springer en_ZA
dc.rights © IFIP International Federation for Information Processing 2020. The original publication is available at : http://link.springer.combookseries/558. en_ZA
dc.subject Big data analytics (BDA) en_ZA
dc.subject Benefit dependency network (BDN) en_ZA
dc.subject Structured literature review en_ZA
dc.title Implementation considerations for Big Data Analytics (BDA) : a benefit dependency network approach en_ZA
dc.type Postprint Article en_ZA


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