End-User Computing applications are widely used in organisations for various tasks, from financial modelling to data analysis, adding one more layer of complexity in effectively managing and governing data.
The proposed data governance tool offers a comprehensive EUC scoring template designed to evaluate the risks posed by EUCs, and consists of the following features:
Risk Identification: The template proposes the identification of EUCs within the organisation and categorisation based on criticality and complexity, while laying the foundation for understanding the potential risks associated with each application.
Risk Assessment: It enables organisations to assess various risk dimensions, including data integrity, operational risk, and compliance, providing a scoring framework to evaluate each risk dimension, and allowing for a comprehensive analysis of EUC risks.
Mitigation Strategies: Once risks are identified and assessed, the EUC scoring template assists in developing effective mitigation strategies, while guiding organisations in implementing control measures, such as improved documentation, version control, user access restrictions, and regular review processes.
Enhanced Data Governance: By evaluating and addressing EUC risks, organisations can strengthen their overall data governance framework, leading to increased data integrity, reliability, and compliance with regulatory requirements.
Improved Decision-Making: The template enables organisations to make more informed decisions by ensuring accuracy and reliability of EUC-generated data. With a clearer understanding of EUC risks, management can confidently rely on these applications for critical decision-making processes.
Cost and Time Savings: Proactively managing EUC risks helps minimise the potential for errors, data inconsistencies, and costly remediation efforts, by streamlining processes and reducing manual interventions.