Compliance with data protection regulations like GDPR often requires companies to delete user data across multiple systems upon request. This process needs to be thorough and verifiable, covering databases, storage systems, logs, and caches.
Golem simplifies the implementation of user data deletion workflows by providing a reliable platform for orchestrating complex, multi-system operations. Its durable execution ensures that the deletion process completes successfully across all relevant systems, even in the face of temporary failures or system unavailability. This allows companies to confidently comply with data protection regulations while minimizing the risk of incomplete deletions or data inconsistencies.
Many industries require comprehensive audit trails for regulatory compliance, tracking every significant action or data change within their systems. These audit trails must be generated reliably, stored securely, and retained for specified periods.
With Golem, developers can create robust audit trail systems that capture and store audit events across distributed systems. Its transactional model ensures that audit records are generated and stored atomically with the actions they're recording, preventing discrepancies. Golem's fault-tolerant execution guarantees that no audit events are lost, even during system failures, providing organizations with reliable and complete audit trails for compliance purposes.
These use cases demonstrate Golem's value in handling critical compliance and governance tasks that require high reliability and consistency across multiple systems.
Financial institutions and other regulated industries face complex reporting requirements that involve aggregating data from multiple systems, performing intricate calculations, and generating accurate reports within strict deadlines. These processes must be highly reliable and auditable.
Golem simplifies regulatory reporting by providing a robust platform for building automated reporting workflows. Its durable execution ensures that complex data aggregation and calculation processes complete successfully, even when dealing with large datasets or system interruptions. Developers can create clear, auditable reporting pipelines using Golem's transactional model, reducing errors and ensuring timely submission of regulatory reports.
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