A Framework for Agile Enterprise Data Management

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dc.contributor.advisor Eybers, Sunet
dc.contributor.coadvisor Gerber, Aurona
dc.contributor.postgraduate Lillie, Theresa
dc.date.accessioned 2023-07-25T12:14:34Z
dc.date.available 2023-07-25T12:14:34Z
dc.date.created 2023-09-06
dc.date.issued 2023
dc.description Thesis (PhD(Informatics))--University of Pretoria, 2023. en_US
dc.description.abstract The role of data in organisations has changed from primarily supporting operational processes and management reporting to enabling strategic decision-making. However, organisations are having difficulty in successfully managing their data in an agile manner to support these requirements. At the time of this study, there was limited scientific literature, and only some practitioner literature, presenting practical models and methods for how organisations can achieve agile enterprise data management (EDM) in real-world contexts. This research used a design science research (DSR) strategy to develop a framework for agile EDM founded on scientific knowledge, theory and empirical qualitative case study research. The first DSR cycle developed the structural part of a framework for agile EDM based on a systematic literature review (SLR) of the characteristics of agility in information systems (IS), and applied the components of the structural part to a qualitative case study conducted at a large financial services organisation. The second DSR cycle developed the dynamic part of a framework for agile EDM by systematically reviewing the literature on the dynamics of achieving agility in organisational and sociotechnical contexts. The constructs and relationships of the dynamic part of a framework for agile EDM were applied to the qualitative case study data to develop and propose a framework for agile EDM. Using the Delphi method, data management experts evaluated the proposed framework for use in real-world contexts. The primary contribution of this research to IS and data management practitioner knowledge is the DSR artefact that was produced, a framework for agile EDM, that can help organisations to achieve agile EDM, thereby enabling overall enterprise agility. This study also offered two potential secondary contributions in the form of solution development approaches which could be useful to researchers for the study of phenomena, other than agility, in sociotechnical contexts, other than EDM. en_US
dc.description.availability Unrestricted en_US
dc.description.degree PhD(Informatics) en_US
dc.description.department Informatics en_US
dc.identifier.citation Lillie, T 2023, A Framework for Agile Enterprise Data Management, PhD thesis, University of Pretoria, Pretoria en_US
dc.identifier.doi https://doi.org/10.25403/UPresearchdata.23732073 en_US
dc.identifier.uri http://hdl.handle.net/2263/91620
dc.language.iso en en_US
dc.publisher University of Pretoria
dc.rights © 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.
dc.subject enterprise data management en_US
dc.subject agile enterprise data management en_US
dc.subject agile EDM en_US
dc.subject agility en_US
dc.subject complex adaptive systems en_US
dc.subject CAS en_US
dc.subject sociotechnical en_US
dc.subject dynamic capabilities en_US
dc.subject critical systems heuristics en_US
dc.subject Cynefin en_US
dc.subject data governance en_US
dc.subject data management en_US
dc.subject information management en_US
dc.title A Framework for Agile Enterprise Data Management en_US
dc.type Thesis en_US


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