A north American leading retail company was experiencing challenges in managing and securing its vast data assets, including customer information, transaction records, and operational data. The company needed a robust data classification strategy to ensure compliance with CCPA, and PCI DSS regulations while minimizing security risks.

Our solution started with a comprehensive inventory of customer and transactional data across POS systems, CRM platforms, and e-commerce channels to identify and map sensitive information. We developed a tailored data classification framework aligned with CCPA and PCI DSS standards, ensuring compliance with retail-specific regulations. AI-powered tools were deployed to automate the tagging and categorization of customer data, while encryption, role-based access controls, and real-time monitoring safeguarded sensitive payment and personal information. Legacy retail systems were seamlessly integrated with modern classification technologies, and store associates and corporate teams were trained using intuitive dashboards, ensuring consistent adoption and compliance across all retail operations.

The project reduced security incidents by 40% and achieved 100% compliance with CCPA, and PCI DSS, eliminating regulatory penalties. Automated data classification saved hundreds of hours annually, enhancing efficiency. Key risks, including data breaches and employee errors, were mitigated through encryption, access controls, and comprehensive training, while customer trust improved, reflected by a 15% increase in satisfaction scores.