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A Data Governance Maturity Evaluation Model for government departments of the Eastern Cape province, South Africa

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dc.contributor.author Olaitan, O
dc.contributor.author Herselman, Martha E
dc.contributor.author Wayi, N
dc.date.accessioned 2019-08-12T06:57:32Z
dc.date.available 2019-08-12T06:57:32Z
dc.date.issued 2019-07
dc.identifier.citation Olaitan, O., Herselman, M.E., Wayi, N. 2019. A Data Governance Maturity Evaluation Model for government departments of the Eastern Cape province, South Africa. South African Journal of Information Management, vol. 21, No. 1, pp1-22 en_US
dc.identifier.issn 2078-1865
dc.identifier.issn 1560-683X
dc.identifier.uri https://doi.org/10.4102/sajim.v21i1.996
dc.identifier.uri https://sajim.co.za/index.php/sajim/article/view/996
dc.identifier.uri http://hdl.handle.net/10204/11071
dc.description Open Access article distributed under the terms of the Creative Commons Attribution License. en_US
dc.description.abstract Background: There are different uses of data in an organisation. Data are required for reporting purposes, decision-making and providing access to vital facts to enable work processes across business units. Data are central to an organisation’s capacity in anchoring fiscal and strategic plans on valid, accurate and current facts, and are also a vital element in an organisation’s capacity to meet legal, compliance and risk management requirements. To ensure sound decision-making, data must be treated as an asset within organisations, with sound data governance principles entrenched and employed for data handling from inception to deletion. •Objectives: This article proposes a Data Governance Maturity Evaluation Model for government departments of the Eastern Cape province, South Africa. •Method: The methodology for this study is Design Science. The Design Science Process Model, was followed in the development, design and demonstration, and evaluation and communication of the data governance framework. A sequential exploratory mixed-method approach was used for data collection and analysis. •Results: A conceptual data governance maturity model was proposed for government departments of the Eastern Cape province, South Africa. The model was tested through an exploratory sequential mixed-method approach of data collection and analysis. Data were collected from four departments. •Conclusion: The results of the survey confirm the applicability of the model in the set context and reinforced the findings from the literature that maturity models can be used to improve or enhance data governance in public enterprises. en_US
dc.language.iso en en_US
dc.publisher AOSIS en_US
dc.relation.ispartofseries Workflow;22549
dc.subject Data governance en_US
dc.subject Data Governance Maturity en_US
dc.subject Data integrity en_US
dc.subject Evaluation Model en_US
dc.subject Government departments en_US
dc.subject Maturity models en_US
dc.title A Data Governance Maturity Evaluation Model for government departments of the Eastern Cape province, South Africa en_US
dc.type Article en_US
dc.identifier.apacitation Olaitan, O., Herselman, M. E., & Wayi, N. (2019). A Data Governance Maturity Evaluation Model for government departments of the Eastern Cape province, South Africa. http://hdl.handle.net/10204/11071 en_ZA
dc.identifier.chicagocitation Olaitan, O, Martha E Herselman, and N Wayi "A Data Governance Maturity Evaluation Model for government departments of the Eastern Cape province, South Africa." (2019) http://hdl.handle.net/10204/11071 en_ZA
dc.identifier.vancouvercitation Olaitan O, Herselman ME, Wayi N. A Data Governance Maturity Evaluation Model for government departments of the Eastern Cape province, South Africa. 2019; http://hdl.handle.net/10204/11071. en_ZA
dc.identifier.ris TY - Article AU - Olaitan, O AU - Herselman, Martha E AU - Wayi, N AB - Background: There are different uses of data in an organisation. Data are required for reporting purposes, decision-making and providing access to vital facts to enable work processes across business units. Data are central to an organisation’s capacity in anchoring fiscal and strategic plans on valid, accurate and current facts, and are also a vital element in an organisation’s capacity to meet legal, compliance and risk management requirements. To ensure sound decision-making, data must be treated as an asset within organisations, with sound data governance principles entrenched and employed for data handling from inception to deletion. •Objectives: This article proposes a Data Governance Maturity Evaluation Model for government departments of the Eastern Cape province, South Africa. •Method: The methodology for this study is Design Science. The Design Science Process Model, was followed in the development, design and demonstration, and evaluation and communication of the data governance framework. A sequential exploratory mixed-method approach was used for data collection and analysis. •Results: A conceptual data governance maturity model was proposed for government departments of the Eastern Cape province, South Africa. The model was tested through an exploratory sequential mixed-method approach of data collection and analysis. Data were collected from four departments. •Conclusion: The results of the survey confirm the applicability of the model in the set context and reinforced the findings from the literature that maturity models can be used to improve or enhance data governance in public enterprises. DA - 2019-07 DB - ResearchSpace DP - CSIR KW - Data governance KW - Data Governance Maturity KW - Data integrity KW - Evaluation Model KW - Government departments KW - Maturity models LK - https://researchspace.csir.co.za PY - 2019 SM - 2078-1865 SM - 1560-683X T1 - A Data Governance Maturity Evaluation Model for government departments of the Eastern Cape province, South Africa TI - A Data Governance Maturity Evaluation Model for government departments of the Eastern Cape province, South Africa UR - http://hdl.handle.net/10204/11071 ER - en_ZA


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