Data Governance & Security: Protecting Business-Critical Information

Abstract

The growing dependence of organisations on data for operational efficiency and decision-making has made protecting sensitive data a top issue.  Instead of seeing security as an afterthought, the "Security by Design" approach promotes incorporating security measures into data systems' architecture and design from the beginning.  The integration of security and governance into data systems is examined in this study, with a focus on the function of the governance of data in guaranteeing data protection, privacy, and compliance.  Organisations may reduce the risk of data breaches, unauthorised access, and abuse by implementing clear governance structures that guarantee data security procedures are regularly followed.  Layers of product-specific regulations and standards form the foundation of this structure.  To satisfy a product's needs and meet the cutting-edge specifications of its field, the layers might be combined into a particular set.  The deployment of eGovernment systems, which are often backed by middleware-based integration platforms, is a result of governments' increasing usage of information technology.  Specifically, the necessity for government organisations to exchange information more often has spurred the adoption of provided Master Data Management (MDM) systems.  However, these systems must adhere to data protection laws, which might make it more difficult for the government to reuse a lot of information.  The challenges of implementing Data Protection (DP) laws in e-Government MDM system are discussed in this study.  Specifically, it examines the demands that DP problems place on these systems and suggests ways to enforce these rules while taking into account various MDM architectural styles. These solutions make use of middleware-based capabilities and conventional MDM systems.