A leading U.S.-based insurance and financial services company operating in a highly regulated environment managed vast volumes of sensitive and personally identifiable data across policy, claims, underwriting, and customer operations. Facing increasing privacy and compliance requirements, the organization sought to automate the discovery, classification, and governance of sensitive data while establishing greater visibility and control across its enterprise data landscape.
Limited visibility into sensitive and personally identifiable information (PII) across disparate systems.
Manual and time-intensive processes for data discovery and classification.
Inefficiencies in responding to Data Subject Requests within mandated timelines.
Increasing regulatory pressure to ensure compliance with evolving data privacy requirements.
Lack of centralized governance across on-premises and cloud data environments.
scanned across data warehouses, BI platforms, and file systems.
in regulatory compliance-related incidents.
in Data Subject Request response rates.
in data stewardship productivity.
