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Diffusion of data governance and data-driven decision making

Mini Dissertation (MBA)--University of Pretoria, 2022.

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Other Authors: Myburgh, Suzanne
Format: Thesis
Language:English
Published: University of Pretoria 2023
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access_status_str Open Access
author2 Myburgh, Suzanne
author_browse Myburgh, Suzanne
author_facet Myburgh, Suzanne
collection Thesis
dc_rights_str_mv © 2023 University of Pretoria. All rights reserved. The copyright in this work vests in the University of Pretoria. No part of this work may be reproduced or transmitted in any form or by any means, without the prior written permission of the University of Pretoria.
description Mini Dissertation (MBA)--University of Pretoria, 2022.
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institution University of Pretoria (South Africa)
language English
last_indexed 2026-06-10T12:39:48.717Z
license_str Other — see source repository
provenance_str_mv Harvested via OAI-PMH from UPSpace — University of Pretoria Institutional Repository
publishDate 2023
publishDateRange 2023
publishDateSort 2023
publisher University of Pretoria
publisherStr University of Pretoria
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source_str UPSpace — University of Pretoria Institutional Repository
spelling oai:repository.up.ac.za:2263/90855 Diffusion of data governance and data-driven decision making Myburgh, Suzanne ichelp@gibs.co.za Tshabalala, Busisiwe UCTD Mini Dissertation (MBA)--University of Pretoria, 2022. The amount data generated and collected by organisations is growing at an accelerated rate. Retail organisations are in need of interventions to better manage their data to leverage it for a competitive advantage. Data governance has become vital for organisations that are looking for derive the maximum strategic value from their data assets. Organisations especially in retail are in need of guidance on the practical implementation of data governance. The study leverages the diffusion of innovation theory to explore the implementation of data governance within a selected retail organisation in South Africa. Through the review of the literature, it was established that there has been limited research in the implementation of data governance and the implementation of data governance in practice still remains a challenge for many organisations. This study was therefore conducted to understand elements that can facilitate the implementation of data governance using the diffusion of innovation theory. A qualitative research methodology was adopted by the study due to its exploratory nature. Semi-structured interviews were conducted with senior employees at the selected retail organisation in the process of gathering data for the study. The results of the study revealed that the diffusion of innovation theory can be used to facilitate the implementation of data governance in a retail organisation. Additionally, a data governance implementation framework adapted from the diffusion of innovation theory was proposed which can support the implementation of data governance. pt23 Gordon Institute of Business Science (GIBS) MBA Unrestricted 2023-05-28T16:59:41Z 2023-05-28T16:59:41Z 19-04-2023 2022 Mini Dissertation * A2023 http://hdl.handle.net/2263/90855 en © 2023 University of Pretoria. All rights reserved. The copyright in this work vests in the University of Pretoria. No part of this work may be reproduced or transmitted in any form or by any means, without the prior written permission of the University of Pretoria. application/pdf University of Pretoria
spellingShingle UCTD
Diffusion of data governance and data-driven decision making
title Diffusion of data governance and data-driven decision making
title_full Diffusion of data governance and data-driven decision making
title_fullStr Diffusion of data governance and data-driven decision making
title_full_unstemmed Diffusion of data governance and data-driven decision making
title_short Diffusion of data governance and data-driven decision making
title_sort diffusion of data governance and data driven decision making
topic UCTD
url http://hdl.handle.net/2263/90855