PREDICTING COMPLIANCE: A PEOPLE ANALYTICS APPROACH TO PROACTIVE INTERVENTION

This project explores the intersection of people analytics and quality compliance, focusing on how employee behavior impacts the success of quality initiatives. The key challenge addressed is ensuring consistent compliance with quality procedures, particularly during process improvements. By analyzing employee performance indicators such as sales targets, customer satisfaction, and working patterns, this study identifies behavioral and operational factors influencing compliance outcomes. A dataset containing policy compliance records and performance metrics is used to uncover patterns and predictors of non-compliance. The findings emphasize that effective compliance begins with people and that leveraging data can support proactive, people-centered quality assurance strategies.