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A comprehensive diagnostic framework for evaluating business intelligence and analytics effectiveness

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journal contribution
posted on 2015-01-01, 00:00 authored by N Foshay, William YeohWilliam Yeoh, Y L Boo, K L Ong, D Mattie
Business intelligence and analytics (BIA) initiatives are costly, complex and experience high failure rates. Organizations require effective approaches to evaluate their BIA capabilities in order to develop strategies for their evolution. In this paper, we employ a design science
paradigm to develop a comprehensive BIA effectiveness diagnostic (BIAED) framework that can be easily operationalized. We propose that a useful BIAED framework must assess the correct factors, should be deployed in the proper process context and acquire the appropriate
input from different constituencies within an organization. Drawing on the BIAED framework, we further develop an online diagnostic toolkit that includes a comprehensive survey instrument. We subsequently deploy the diagnostic mechanism within three large organizations in North America (involving over 1500 participants) and use the results to
inform BIA strategy formulation. Feedback from participating organizations indicates that the BIA diagnostic toolkit provides insights that are essential inputs to strategy development. This work addresses a significant research gap in the area of BIA effectiveness assessment.

History

Journal

Australasian journal of information systems

Volume

19

Pagination

37 - 54

Publisher

Australasian Association for Information Systems and Australian Computer Society

Location

Melbourne, Vic.

ISSN

1449-8618

Language

eng

Notes

Reproduced with the kind permission of the copyright owner.

Publication classification

C1 Refereed article in a scholarly journal; C Journal article

Copyright notice

2015, AAIS