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A Framework for a Business Intelligence-Enabled Adaptive Enterprise Architecture

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Book cover Conceptual Modeling (ER 2014)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 8824))

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Abstract

The environments in which businesses currently operate are dynamic and constantly changing, with influence from external and internal factors. When businesses evolve, leading to changes in business objectives, it is hard to determine and visualize what direct Information System responses are needed to respond to these changes. This paper introduces an enterprise architecture framework which allows for anticipating and supporting proactively, adaptation in enterprise architectures as and when the business evolves. This adaptive framework exploits and models relationships between business objectives of important stakeholders, decisions related to these objectives, and Information Systems that support these decisions. This framework exploits goal modeling in a Business Intelligence context. The tool-supported framework was assessed against different levels and types of changes in a real enterprise architecture of a Canadian government department, with encouraging results.

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Akhigbe, O., Amyot, D., Richards, G. (2014). A Framework for a Business Intelligence-Enabled Adaptive Enterprise Architecture. In: Yu, E., Dobbie, G., Jarke, M., Purao, S. (eds) Conceptual Modeling. ER 2014. Lecture Notes in Computer Science, vol 8824. Springer, Cham. https://doi.org/10.1007/978-3-319-12206-9_33

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  • DOI: https://doi.org/10.1007/978-3-319-12206-9_33

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-12205-2

  • Online ISBN: 978-3-319-12206-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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