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A Capability Approach for Designing Business Intelligence and Analytics Architectures

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Title:A Capability Approach for Designing Business Intelligence and Analytics Architectures
Authors:Ereth, Julian
Baars, Henning
Keywords:Business Intelligence, Business Analytics and Big Data: Innovation, Deployment, and Management
analytics
architecture
business intelligence
capability
show 1 moredesign science
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Date Issued:07 Jan 2020
Abstract: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.
Pages/Duration:10 pages
URI:http://hdl.handle.net/10125/64400
ISBN:978-0-9981331-3-3
DOI:10.24251/HICSS.2020.658
Rights:Attribution-NonCommercial-NoDerivatives 4.0 International
https://creativecommons.org/licenses/by-nc-nd/4.0/
Appears in Collections: Business Intelligence, Business Analytics and Big Data: Innovation, Deployment, and Management


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