Assessment of The Effectiveness of Privacy and Data Protection Awareness Training: An Experimental Study

Data protection and personal information privacy pose persistent organizational challenges under legal frameworks such as Brazil’s LGPD and the EU GDPR/AI Act. Beyond technical and administrative safeguards, real compliance hinges on user behavior. This study quantitatively assesses the effectiveness of privacy awareness training using analytical modeling and computational simulation of an M/M/1 incident-response system. We compare three scenarios—no training, basic training, and advanced training—by parametrizing the incident arrival rate (λ) and the service rate (µ) and computing key performance metrics (W, L, W_Q). Results show that advanced training markedly reduces average time in the system and the active-incident backlog, confirming privacy awareness as a force multiplier for compliance. We discuss trade-offs between training investment and risk reduction, provide guidance on return on investment (ROI), and outline limitations of the queueing approximation. The approach offers evidence-based recommendations for organizations seeking to optimize training while maintaining strong data protection practices.