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.
Highlights
Data serve the diverse needs of different stakeholders in an organisation
The findings revealed that respondents generally neither agreed nor disagreed on alignment of COBIT 5/ISO/IEC 38500 to data process in the DGMEM, while they generally agreed on the applicability of the Data Governance Maturity Evaluation Model and on expected results from the implementation of the DGMEM
The results show that the DGMEM does not need to be reconstructed for it to be effective in the departments
Summary
Data serve the diverse needs of different stakeholders in an organisation These needs include the following: reporting and decision-making; ensuring data quality; data access across organisational divisions; the ability to analyse, sort and filter data; the ability to share sensitive and non-sensitive data in a secure environment; and the capacity to meet legal, compliance and risk management requirements (Dismute 2010; Khatri & Brown 2010; Kushner & Villar 2008; Seiner 2014; Thomas 2015). 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 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
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