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Investigating the relationship between big data analytics capabilities and data-driven decision-making

Mini Dissertation (MBA)--University of Pretoria, 2018.

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Other Authors: Lew, Charlene
Format: Thesis
Language:English
Published: University of Pretoria 2019
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access_status_str Open Access
author2 Lew, Charlene
author_browse Lew, Charlene
author_facet Lew, Charlene
collection Thesis
dc_rights_str_mv © 2019 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, 2018.
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institution University of Pretoria (South Africa)
language English
last_indexed 2026-06-10T12:38:15.015Z
license_str Other — see source repository
provenance_str_mv Harvested via OAI-PMH from UPSpace — University of Pretoria Institutional Repository
publishDate 2019
publishDateRange 2019
publishDateSort 2019
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:2263/68841 Investigating the relationship between big data analytics capabilities and data-driven decision-making Lew, Charlene ichelp@gibs.co.za Dhoodhat, Zaheer UCTD Mini Dissertation (MBA)--University of Pretoria, 2018. Big Data Analytics can be a means of extracting value and generating competitive advantage. However, a challenge in achieving this is that key specialised capabilities are required. Data-Driven Decision-Making, which depends on data and analytics insights, has been shown to have a positive impact on firm performance. This study investigates the relationship between Big Data Analytics Capabilities and Data-Driven Decision-Making through a questionnaire based, quantitative study which surveyed managers and analytics professionals across several industries. The study found that Big Data Analytics Infrastructure Flexibility, Big Data Analytics Management Capabilities and Big Data Analytics Personnel Expertise have significant, positive correlations with Data-Driven Decision-Making. Furthermore, this study also found that Big Data Analytics Management Capabilities and Big Data Analytics Personnel Expertise are significant predictors of Data-Driven Decision-Making. The empirical support of these relationships provides a contribution to literature while also providing practical implications for business looking to create value through Big Data Analytics. ms2019 Gordon Institute of Business Science (GIBS) MBA 2019-04-04T10:16:57Z 2019-04-04T10:16:57Z 30-Mar-19 2018 Mini Dissertation Dhoodhat, Z 2018, Investigating the relationship between big data analytics capabilities and data-driven decision-making, MBA Mini Dissertation, University of Pretoria, Pretoria, viewed yymmdd <http://hdl.handle.net/2263/68841> http://hdl.handle.net/2263/68841 en © 2019 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
Investigating the relationship between big data analytics capabilities and data-driven decision-making
title Investigating the relationship between big data analytics capabilities and data-driven decision-making
title_full Investigating the relationship between big data analytics capabilities and data-driven decision-making
title_fullStr Investigating the relationship between big data analytics capabilities and data-driven decision-making
title_full_unstemmed Investigating the relationship between big data analytics capabilities and data-driven decision-making
title_short Investigating the relationship between big data analytics capabilities and data-driven decision-making
title_sort investigating the relationship between big data analytics capabilities and data driven decision making
topic UCTD
url http://hdl.handle.net/2263/68841