The role of data analytics in formulating a business model in the South African metals manufacturing sector
| dc.contributor.author | Maimela, Kelebogile | |
| dc.contributor.supervisor | Munkuli, Bongani | |
| dc.date.accessioned | 2024-10-15T12:54:48Z | |
| dc.date.available | 2024-10-15T12:54:48Z | |
| dc.date.issued | 2020 | |
| dc.description | A research article submitted to the Faculty of Commerce, Law and Management, University of the Witwatersrand, in partial fulfillment of the requirements for the degree of Masters of Business Administration Johannesburg, 2020 | |
| dc.description.abstract | Technological advancements are a contributing factor to the success of any business, especially with globalisation mandating flexibility within businesses. The survival of the metals manufacturing companies is dependent on many variables, but the focus will be placed on the role of data analytics in business models. A quantitative approach was used to collect the data utilising Qualtrics software and data were recorded on Excel before being coded and then loaded onto the Statistical Package for Social Sciences (SPSS) software system. All employees in the metals manufacturing companies in South Africa made up the population for this study. The results revealed a relationship between data analytics and business insight involved in developing a business model. In the absence of data, the level of success in decision making is compromised. Over 80 percent of respondents emphasised the importance of data required in making decisions. The ability to make informed decisions gives companies a competitive edge, but a dynamic capability is evidenced through people’s experience in data analysis. The data collected were analysed using quantitative data analysis tools such as chi-squared tests and Cramer’s phi tests, which indicated that data play a pivotal role in developing business models | |
| dc.description.submitter | MM2024 | |
| dc.faculty | Faculty of Commerce, Law and Management | |
| dc.identifier.citation | Maimela, Kelebogile . (2020). The role of data analytics in formulating a business model in the South African metals manufacturing sector [Master’s dissertation, University of the Witwatersrand, Johannesburg]. WireDSpace. | |
| dc.identifier.uri | https://hdl.handle.net/10539/41609 | |
| dc.language.iso | en | |
| dc.publisher | University of the Witwatersrand, Johannesburg | |
| dc.rights | © 2020 University of the Witwatersrand, Johannesburg. All rights reserved. The copyright in this work vests in the University of the Witwatersrand, Johannesburg. No part of this work may be reproduced or transmitted in any form or by any means, without the prior written permission of University of the Witwatersrand, Johannesburg. | |
| dc.rights.holder | University of the Witwatersrand, Johannesburg | |
| dc.school | WITS Business School | |
| dc.subject | Business model | |
| dc.subject | Big data | |
| dc.subject | Data analytics | |
| dc.subject | Business insights | |
| dc.subject | Technology | |
| dc.subject | UCTD | |
| dc.subject.other | SDG-8: Decent work and economic growth | |
| dc.title | The role of data analytics in formulating a business model in the South African metals manufacturing sector | |
| dc.type | Dissertation |