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A Framework for Agile Enterprise Data Management

Thesis (PhD(Informatics))--University of Pretoria, 2023.

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Other Authors: Eybers, Sunet
Format: Thesis
Language:English
Published: University of Pretoria 2023
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access_status_str Open Access
author2 Eybers, Sunet
author_browse Eybers, Sunet
author_facet Eybers, Sunet
collection Thesis
dc_rights_str_mv © 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.
description Thesis (PhD(Informatics))--University of Pretoria, 2023.
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institution University of Pretoria (South Africa)
language English
last_indexed 2026-06-10T12:37:05.780Z
license_str Other — see source repository
provenance_str_mv Harvested via OAI-PMH from UPSpace — University of Pretoria Institutional Repository
publishDate 2023
publishDateRange 2023
publishDateSort 2023
publisher University of Pretoria
publisherStr University of Pretoria
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spelling oai:repository.up.ac.za:2263/91620 A Framework for Agile Enterprise Data Management Eybers, Sunet tessa.lillie@wol.co.za Gerber, Aurona Lillie, Theresa enterprise data management agile enterprise data management agile EDM agility complex adaptive systems CAS sociotechnical dynamic capabilities critical systems heuristics Cynefin data governance data management information management Thesis (PhD(Informatics))--University of Pretoria, 2023. 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. Informatics PhD(Informatics) Unrestricted 2023-07-25T12:14:34Z 2023-07-25T12:14:34Z 2023-09-06 2023 Thesis Lillie, T 2023, A Framework for Agile Enterprise Data Management, PhD thesis, University of Pretoria, Pretoria http://hdl.handle.net/2263/91620 https://doi.org/10.25403/UPresearchdata.23732073 en © 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. application/pdf application/pdf University of Pretoria
spellingShingle enterprise data management
agile enterprise data management
agile EDM
agility
complex adaptive systems
CAS
sociotechnical
dynamic capabilities
critical systems heuristics
Cynefin
data governance
data management
information management
A Framework for Agile Enterprise Data Management
title A Framework for Agile Enterprise Data Management
title_full A Framework for Agile Enterprise Data Management
title_fullStr A Framework for Agile Enterprise Data Management
title_full_unstemmed A Framework for Agile Enterprise Data Management
title_short A Framework for Agile Enterprise Data Management
title_sort framework for agile enterprise data management
topic enterprise data management
agile enterprise data management
agile EDM
agility
complex adaptive systems
CAS
sociotechnical
dynamic capabilities
critical systems heuristics
Cynefin
data governance
data management
information management
url http://hdl.handle.net/2263/91620
https://doi.org/10.25403/UPresearchdata.23732073