From Business Intelligence Insights to Actions: A Methodology for Closing the Sense-and-Respond Loop in the Adaptive Enterprise

Nalchigar, Soroosh; Yu, Eric

doi:10.1007/978-3-642-41641-5_9

Cited by 6 publications

(3 citation statements)

References 24 publications

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“…The link from IS serving as information sources, to decisions made with information, and to the objectives the information is used to achieve, shows a clear opportunity to trace, monitor, and address change. This link also addresses the challenge of connecting insights from BI with enterprise decisions and actions as businesses evolve [19].…”

Section: Fig 1 Relationship Between Business Intelligence and Businmentioning

confidence: 96%

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A Framework for a Business Intelligence-Enabled Adaptive Enterprise Architecture

Akhigbe

Amyot

Richards

2014

Conceptual Modeling

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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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Section: Fig 1 Relationship Between Business Intelligence and Businmentioning

confidence: 96%

“…In its simplest form, BI is about getting data into a system to enable decision-making. BI helps organizations derive meaning from information and is especially useful in dynamic environments [19,30] to support decisions (Fig. 1).…”

Section: Introductionmentioning

confidence: 99%

A Framework for a Business Intelligence-Enabled Adaptive Enterprise Architecture

Akhigbe

Amyot

Richards

2014

Conceptual Modeling

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“…In previous work [18], we proposed a model-based methodology for closing the gap between what an enterprises senses from BI insights and the consequent actions and corrective changes. The second and third phases of that methodology includes generating alternative actions and selecting the most appropriate one(s).…”

Section: Introductionmentioning

confidence: 99%

Towards Actionable Business Intelligence: Can System Dynamics Help?

Nalchigar

Easterbrook

2014

Lecture Notes in Business Information Processing

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Abstract. Business intelligence (BI) and data analytics provide modern enterprises with insights about internal operations, performance, as well as environmental trends, and enable them to make data-driven decisions. Insights resulting from these systems often suggest several alternative changes or corrective actions within the enterprise. In this context, to trade-off and find the most proper action(s) is a non-trivial task due to existing dynamics and complexities of the enterprise. This paper proposes a model-based approach to support the analysis and selection of best alternative actions in adaptive enterprise contexts. The proposed approach links and synthesizes two existing modeling frameworks, the Business Intelligence Model (BIM) and System Dynamics, in a systematic step-by-step way to assist decision makers in finding best response action(s) from a given set of alternatives, and hence to make BI more actionable and understandable. The applicability of this approach in illustrated in a scenario adapted from literature.

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Introduction to Tactical Management Research

Nechkoska

2019

Tactical Management in Complexity

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From Business Intelligence Insights to Actions: A Methodology for Closing the Sense-and-Respond Loop in the Adaptive Enterprise

Cited by 6 publications

References 24 publications

A Framework for a Business Intelligence-Enabled Adaptive Enterprise Architecture

A Framework for a Business Intelligence-Enabled Adaptive Enterprise Architecture

Towards Actionable Business Intelligence: Can System Dynamics Help?

Introduction to Tactical Management Research

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