Swiss BFSI Data Discovery & Privacy Journey

In the financial services sector, safeguarding sensitive data is critical yet challenging — especially when managing massive data volumes across complex environments. A Swiss BFSI company faced this exact challenge, with over 75TB of data spread across Oracle databases and a growing need to enhance data protection and compliance.

Mage Data’s Sensitive Data Discovery solution provided a comprehensive approach by leveraging advanced discovery techniques — including dictionary, pattern, NLP, and key-value pair detection — to accurately locate sensitive data across structured and unstructured sources. Coupled with compliance-ready classification and scalable automation, the platform enabled the firm to eliminate data leakage risks, accelerate GDPR compliance, and improve governance efficiency.

This case study offers valuable insights into how Mage Data’s technology can empower organizations to secure sensitive data at scale while streamlining compliance and operational workflows.