Business View Magazine - Mar 2024

data classification, which includes the following: • Accuracy and consistency: Ensuring data is accurately classified and consistently managed across all departments is crucial. This minimizes the risk of data breaches and ensures compliance with legal and regulatory requirements. • Privacy and security: Sensitive data, such as personal information, should be identified and classified with the highest security measures to protect against unauthorized access and breaches. • Accessibility: While securing sensitive data, it’s equally important to ensure that non-sensitive, public information remains accessible to those who need it, fostering transparency and trust in public services. • Scalability: As data volumes grow, classification systems should be scalable to manage increased loads without compromising efficiency or accuracy. Implementing effective data classification in the public sector requires a comprehensive approach, where clear data governance is paramount. This involves developing a clear data classification policy and defining what data needs to be classified and the criteria for classification. In addition, data governance should be aligned with legal and 8 BUSINESS VIEW MAGAZINE VOLUME 11, ISSUE 03