Data X-Ray Powers ROT Elimination
A global integrated energy company needed to transform how it governed sensitive data across legacy systems, data lakes, and unstructured repositories.
Facing internal and external audit deadlines, aggressive cloud migration timelines, and growing privacy mandates, the company was tasked with identifying PCI, PII, and PHI across 75 million files, enforcing access controls, and classifying ROT (Redundant, Obsolete, Trivial) data across multiple petabytes.
Problem
Auditors required the organization to identify and classify sensitive data (PII/PHI/PCI) before CMS cloud migration within 9 months
Needed to enforce sensitivity policies across 75M files without interrupting operations
Faced escalating storage costs from ROT data stored across legacy systems and on-prem file servers
Required integration with Collibra Data Catalog to enable future access governance at scale
Solution
The organization selected Data X-Ray after a competitive POC and deployed it to power enterprise-wide data discovery, classification, and lifecycle control.
Key capabilities delivered:
Automated discovery and tagging of sensitive content (PII/PHI/PCI) across 75M+ files
Custom connector for OpenText legacy CMS and seamless metadata integration into Collibra
ROT analysis across petabytes of legacy data to enable cold storage and deletion workflows
Standardized data sensitivity framework adopted across legal, privacy, and IT functions
Result: The organization completed its audit-tagging mandate two months ahead of schedule and reduced unnecessary data storage costs by $800K per petabyte deleted or archived.
Business Value
2-month acceleration of audit and cloud migration project
$800K saved per PB through ROT data identification and removal
Standardization of data sensitivity across the enterprise
Faster ingestion into Collibra, enabling unified governance
Legacy system compatibility ensured continuity and security without costly rearchitecture
Data X-Ray has since become this energy company’s standard for defining and managing unstructured assets with sensitive data.
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