In today’s dynamic landscape, cybersecurity and privacy have become paramount concerns. Addressing these concerns in industries where personal data is deeply embedded in operational processes is non-negotiable. Inherently data-driven logistics necessitates a meticulous approach to handling customer data.
Napoleon Ng, Vice President Legal, Asia Pacific, DHL Group, emphasises, “Data protection is not a static set of rules and regulations. It continues to evolve and expand, often at a swift pace. The logistics sector must always be alert for emerging privacy issues and trends, such as new cybersecurity technology, privacy principles surrounding ‘big data,’ and anti-spam legislation.”
Anonymous Data Management in Your Logistics Software
Always Check the Preview: Ensure the system reacts as anticipated before executing the policy on all records. Use ‘Preview Records to Anonymize’ to verify the expected outcome before inadvertently deleting critical data.
Delete Unused Lines: Delete tables not utilised in your processes to optimise performance when initialising the lines. This ensures the policy only operates on tables essential for anonymisation.
Utilise Job Queues: Given the potential time-consuming nature of anonymising fields from multiple tables, schedule policy execution during off-hours using job queues to minimise disruption during business hours.
Data as a Driving Factor for Logistics Processes
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