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Re-Imagining Data Governance

Re-Imagining Data Governance

Kevin J. Sweeney
Copyright: © 2018 |Pages: 28
ISBN13: 9781522537250|ISBN10: 1522537252|EISBN13: 9781522537267
DOI: 10.4018/978-1-5225-3725-0.ch014
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MLA

Sweeney, Kevin J. "Re-Imagining Data Governance." Handbook of Research on Knowledge Management for Contemporary Business Environments, edited by Armando Malheiro, et al., IGI Global, 2018, pp. 1-28. https://doi.org/10.4018/978-1-5225-3725-0.ch014

APA

Sweeney, K. J. (2018). Re-Imagining Data Governance. In A. Malheiro, F. Ribeiro, G. Leal Jamil, J. Rascao, & O. Mealha (Eds.), Handbook of Research on Knowledge Management for Contemporary Business Environments (pp. 1-28). IGI Global. https://doi.org/10.4018/978-1-5225-3725-0.ch014

Chicago

Sweeney, Kevin J. "Re-Imagining Data Governance." In Handbook of Research on Knowledge Management for Contemporary Business Environments, edited by Armando Malheiro, et al., 1-28. Hershey, PA: IGI Global, 2018. https://doi.org/10.4018/978-1-5225-3725-0.ch014

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Abstract

Contemporary business environments reflect the growing influence of data as a mission-critical resource of relevance across the enterprise, suggesting a need for robust infrastructures to enable good data management practice. This includes data governance, a particularly foundational infrastructure with a crucial role to play. Data governance models in common use however, reflecting traditional top-down, hierarchical structures, and relying on designated governance roles, are not equipped to effectively embed data accountability within dynamic business environments. In response, this chapter offers a new approach designed to foster accountability by cultivating data knowledge and promoting good data management behavior amongst all relevant staff. Drawing from an operational data governance framework developed for New Zealand government, the new model employs a core set of capabilities and a steady states model to map data flow. It provides a deliberately business-centric view of data accountability and offers a means of maturing data thinking to support improved integration across operating scales.