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Leveraging big data analytics and capabilities for data-driven decision-making in South African banking

Dissertation (MPhil)--University of Pretoria, 2023

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Bibliographic Details
Main Author: Moyikwa, Yvonne
Other Authors: Myburgh, Suzanne
Format: Thesis
Language:English
Published: University of Pretoria 2024
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access_status_str Open Access
author Moyikwa, Yvonne
author2 Myburgh, Suzanne
author_browse Moyikwa, Yvonne
Myburgh, Suzanne
author_facet Myburgh, Suzanne
Moyikwa, Yvonne
author_sort Moyikwa, Yvonne
collection Thesis
dc_rights_str_mv © 2023 University of Pretoria. All rights reserved. The copyright in this work vests in the University of Pretoria.
description Dissertation (MPhil)--University of Pretoria, 2023
format Thesis
id oai:repository.up.ac.za:2263/96144
institution University of Pretoria (South Africa)
language English
last_indexed 2026-06-10T12:38:49.043Z
license_str Other — see source repository
provenance_str_mv Harvested via OAI-PMH from UPSpace — University of Pretoria Institutional Repository
publishDate 2024
publishDateRange 2024
publishDateSort 2024
publisher University of Pretoria
publisherStr University of Pretoria
record_format dspace
source_str UPSpace — University of Pretoria Institutional Repository
spelling oai:repository.up.ac.za:2263/96144 Leveraging big data analytics and capabilities for data-driven decision-making in South African banking Moyikwa, Yvonne Myburgh, Suzanne Big data analytics Decision-making Data-driven decision-making Banking sector Qualitative research Dissertation (MPhil)--University of Pretoria, 2023 Despite the widespread attention given to big data and analytics, there is still a lack of clarity regarding the success rate of big data initiatives and their strategic value. While existing literature primarily emphasizes the enhancement of tactical organizational capabilities through big data and analytics, there is a notable scarcity of studies that delve into their impact on organizational decision-making. Moreover, a limited conceptual framework explores how big data and analytics create strategic value for organizations through data-driven decision-making. This study aims to fill this gap by investigating how big data analytics and capabilities can be effectively applied for data-driven decision-making, specifically examining factors that either facilitate or hinder the South African banking sector's ability to harness these technologies for strategic decision-making. Through thematic analysis from the qualitative interview data, the findings underscore the critical need for aligning data and business strategies, effective data leadership, and fostering a data-driven culture to leverage big data analytics into data-driven decision-making within the South African banking sector. pagibs2024 2024-05-22T07:18:47Z 2024-05-22T07:18:47Z 2024-04-17 2024-04-17 Mini Dissertation * A2024 http://hdl.handle.net/2263/96144 en © 2023 University of Pretoria. All rights reserved. The copyright in this work vests in the University of Pretoria. application/pdf University of Pretoria
spellingShingle Big data analytics
Decision-making
Data-driven decision-making
Banking sector
Qualitative research
Moyikwa, Yvonne
Leveraging big data analytics and capabilities for data-driven decision-making in South African banking
title Leveraging big data analytics and capabilities for data-driven decision-making in South African banking
title_full Leveraging big data analytics and capabilities for data-driven decision-making in South African banking
title_fullStr Leveraging big data analytics and capabilities for data-driven decision-making in South African banking
title_full_unstemmed Leveraging big data analytics and capabilities for data-driven decision-making in South African banking
title_short Leveraging big data analytics and capabilities for data-driven decision-making in South African banking
title_sort leveraging big data analytics and capabilities for data driven decision making in south african banking
topic Big data analytics
Decision-making
Data-driven decision-making
Banking sector
Qualitative research
url http://hdl.handle.net/2263/96144
work_keys_str_mv AT moyikwayvonne leveragingbigdataanalyticsandcapabilitiesfordatadrivendecisionmakinginsouthafricanbanking