$22M Saved | 330M+ Files Scoped | 2 Months of Regulatory Timeline Eliminated

Accelerating $8B Divestiture with Data X-Ray

A global financial institution was under intense regulatory pressure to complete the separation of a business unit worth $8 billion. Regulators (including NYDFS, OCC, and the Federal Reserve) mandated the bank to identify and classify over 19 million files within just two months, with zero tolerance for data leakage, especially Confidential Supervisory Information (CSI) or Suspicious Activity Reports (SAR).

Failure to comply meant risking deal termination or regulatory intervention.

Problem

The bank faced three compounding risks:

  • Regulatory threat of divestiture being blocked due to potential mishandling of sensitive files

  • No visibility into 19M+ unstructured files across SharePoint and other shared systems

  • Manual effort from 300+ consultants looming if automation failed


Adding to the pressure, post-divestiture business-as-usual (BAU) demanded governance of 100M+ files for retention, records, and audit readiness.

Solution

Data X-Ray enabled automated discovery and classification of all 19 million files against defined governance rules, pinpointing sensitive regulatory correspondence and reducing risk exposure.

As the engagement expanded, Data X-Ray scaled to govern up to 330 million files across other environments.

Key capabilities delivered:

  • Auto-discovery of regulated data (e.g., CSI, SAR)

  • Zero manual rule-writing by internal teams

  • Seamless integration into SharePoint and legacy systems

  • Reusable governance rules for BAU

Business Value

  • $22 million saved by eliminating the need for 300 consultants

  • 2-month acceleration of divestiture approval timeline

  • Regulatory non-objection and third-party certification achieved

  • BAU adoption across legal, privacy, records, and audit teams

  • Centralized oversight of 100M+ files with automated retention enforcement


Data X-Ray didn’t just solve the separation. It became the core engine for managing unstructured data lifecycle going forward.

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