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    Management challenges in creating value from business analytics

    Vidgen, Richard and Shaw, S. and Grant, D.G. (2017) Management challenges in creating value from business analytics. European Journal of Operational Research 261 (2), pp. 626-639. ISSN 0377-2217.

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    Abstract

    The popularity of big data and business analytics has increased tremendously in the last decade and a key challenge for organizations is in understanding how to leverage them to create business value. However, while the literature acknowledges the importance of these topics little work has addressed them from the organization’s point of view. This paper investigates the challenges faced by organizational managers seeking to become more data and information-driven in order to create value. Empirical research comprised a mixed methods approach using (1) a Delphi study with practitioners through various forums and (2) interviews with business analytics managers in three case organizations. The case studies reinforced the Delphi findings and highlighted several challenge focal areas: organizations need a clear data and analytics strategy, the right people to effect a data-driven cultural change, and to consider data and information ethics when using data for competitive advantage. Further, becoming data-driven is not merely a technical issue and demands that organizations firstly organize their business analytics departments to comprise business analysts, data scientists, and IT personnel, and secondly align that business analytics capability with their business strategy in order to tackle the analytics challenge in a systemic and joined-up way. As a result, this paper presents a business analytics ecosystem for organizations that contributes to the body of scholarly knowledge by identifying key business areas and functions to address to achieve this transformation.

    Metadata

    Item Type: Article
    Keyword(s) / Subject(s): Analytics, Delphi, Management challenges, Value creation, Ecosystem
    School: Birkbeck Schools and Departments > School of Business, Economics & Informatics > Computer Science and Information Systems
    Depositing User: Prof Richard Vidgen
    Date Deposited: 02 Oct 2017 08:46
    Last Modified: 24 Feb 2019 01:10
    URI: http://eprints.bbk.ac.uk/id/eprint/19847

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