A Capability Approach for Designing Business Intelligence and Analytics Architectures

Date
2020-01-07
Authors
Ereth, Julian
Baars, Henning
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Business Intelligence and Analytics (BIA) is subject to an ongoing transformation, both on the technology and the business side. Given the lack of ready-to-use blueprints for the plethora of novel solutions and the ever-increasing variety of available concepts and tools, there is a need for conceptual support for architecture design decisions. After conducting a series of interviews to explore the relevance and direction of an architectural decision support concept, we propose a capability schema that involves actions, expected outcomes, and environmental limitations to identify fitting architecture designs. The applicability of the approach was evaluated with two cases. The results show that the derived framework can support the systematic development of fundamental architecture requirements. The work contributes to research by illustrating how to capture the elusive capability concept and showing its relation to BIA architectures. For further generalization, we created an open online repository to collect BIA capabilities and architectural designs.
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Business Intelligence, Business Analytics and Big Data: Innovation, Deployment, and Management, analytics, architecture, business intelligence, capability, design science
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10 pages
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Proceedings of the 53rd Hawaii International Conference on System Sciences
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Attribution-NonCommercial-NoDerivatives 4.0 International
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