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How to get the most from a business intelligence application during the post implementation phase? Deep structure transformation at a U.K. retail bank

  • Empirical Research
  • Published:
European Journal of Information Systems

Abstract

This paper focuses on the process of maximizing the benefits from a business intelligence (BI) application. A general theoretical framework of analysis is formulated based on previous research into organizational deep structure and inertia. Our framework is applied to a case study of a U.K. retail bank which used an existing customer profitability BI application to transform its marketing strategy. We find that an organization’s ability to extract strategic BI benefits is influenced by its deep structure (core beliefs, organizational structures, control systems and distribution of power) and also by its ability to overcome the effects of the multiple inertia sources that the deep structure generates. Organizations should therefore carefully consider the effects of multidimensional organizational inertia and aim to manage inertia sources in respect to information from BI applications when links that embed the BI into an organization as a whole are developed and maintained. We also present generally applicable insights into enhancing the delivery of informative long-term BI decision support for organizations.

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Acknowledgements

We are most grateful to the editor and the reviewers for their many helpful comments and suggestions. We also thank Lucy Marshall, Customer Insight Manager, of National Australia Group Europe for her valuable contribution.This research is supported in part by the Knowledge Transfer Partnership between the University of Leeds and National Australia Group Europe, trading in the U.K. as Clydesdale Bank and Yorkshire Bank.

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Correspondence to Alena Audzeyeva.

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Audzeyeva, A., Hudson, R. How to get the most from a business intelligence application during the post implementation phase? Deep structure transformation at a U.K. retail bank. Eur J Inf Syst 25, 29–46 (2016). https://doi.org/10.1057/ejis.2014.44

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