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Integrating big data analytics (BDA) into the decision-making process to enhance strategic agility in mining operations
Mini Dissertation (MBA)--University of Pretoria, 2025.
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| Format: | Thesis |
| Language: | English |
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University of Pretoria
2026
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| _version_ | 1867613453743554560 |
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| access_status_str | Open Access |
| author2 | Ramparsad, Sherin |
| author_browse | Ramparsad, Sherin |
| author_facet | Ramparsad, Sherin |
| collection | Thesis |
| dc_rights_str_mv | © 2025 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, 2025. |
| format | Thesis |
| id | oai:repository.up.ac.za:2263/109211 |
| institution | University of Pretoria (South Africa) |
| language | English |
| last_indexed | 2026-06-10T12:36:23.737Z |
| license_str | Other — see source repository |
| provenance_str_mv | Harvested via OAI-PMH from UPSpace — University of Pretoria Institutional Repository |
| publishDate | 2026 |
| publishDateRange | 2026 |
| publishDateSort | 2026 |
| 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:2263/109211 Integrating big data analytics (BDA) into the decision-making process to enhance strategic agility in mining operations Ramparsad, Sherin ichelp@gibs.co.za Raputsoe, Jaqueline UCTD Big data analytics Strategic agility Decision-making Mini Dissertation (MBA)--University of Pretoria, 2025. Due to the increasing complexity of mining operations, market volatility, and sustainability requirements, the need for agile and data-driven decision-making has arisen. Big Data Analytics (BDA) gives predictive insights and operational responsiveness that improve strategic agility. Although technological advancements have determined Big Data Analytics as a transformational tool, its incorporation into decision-making processes in the mining sector remains underexplored. For this reason, this study explored the integration of Big Data Analytics (BDA) into decision-making processes to enhance strategic agility in South African mining operations, thus addressing a gap in empirical research on BDA adoption in the mining sector. The study adopted a qualitative exploratory design involving eighteen (18) semi-structured interviews with mining professionals involved with BDA and BDA experts (manufacturers/ developers) operating in the mining space. A thematic analysis of the responses generated seven main themes: Leadership and governance, data readiness, proactive intelligence, operational excellence, data accessibility, people-centric approach and pragmatic implementation. Emerging as foundational enablers were leadership alignment and data quality. Results suggest that effective BDA adoption requires considerable support from top executives, the availability of an appropriate data architecture, ethical governance, and continuous stakeholder engagement. It enhances the theoretical understanding of the Resource-Based View (RBV) and the Technology-Organisation Environment (TOE) frameworks within the mining sector. Further research is still needed to analyse the long-term impact of BDA on performance and to develop customised capability-building frameworks for other industries. Gordon Institute of Business Science (GIBS) MBA Unrestricted Gordon Institute of Business Science (GIBS) SDG-09: Industry, innovation and infrastructure 2026-03-23T09:41:27Z 2026-03-23T09:41:27Z 2026-05-05 2025 Mini Dissertation * A2025 http://hdl.handle.net/2263/109211 en © 2025 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 Big data analytics Strategic agility Decision-making Integrating big data analytics (BDA) into the decision-making process to enhance strategic agility in mining operations |
| title | Integrating big data analytics (BDA) into the decision-making process to enhance strategic agility in mining operations |
| title_full | Integrating big data analytics (BDA) into the decision-making process to enhance strategic agility in mining operations |
| title_fullStr | Integrating big data analytics (BDA) into the decision-making process to enhance strategic agility in mining operations |
| title_full_unstemmed | Integrating big data analytics (BDA) into the decision-making process to enhance strategic agility in mining operations |
| title_short | Integrating big data analytics (BDA) into the decision-making process to enhance strategic agility in mining operations |
| title_sort | integrating big data analytics bda into the decision making process to enhance strategic agility in mining operations |
| topic | UCTD Big data analytics Strategic agility Decision-making |
| url | http://hdl.handle.net/2263/109211 |