The Challenge
A global professional services enterprise operating a leading expert network depends on accurate, contextual company data to connect clients with the right expertise quickly and in compliance with regulatory requirements.
As data expanded across internal systems and third-party sources, fragmented company records led to:
- Duplicate and inconsistent corporate entities
- Ambiguity in parent/subsidiary relationships
- Manual validation slowing search workflows
- Reduced confidence in financial and operational reporting
The organization needed a governed, business-aligned definition of company entities — not just technical deduplication
The Solution
The enterprise implemented LakeFusion natively within its Databricks Lakehouse to establish a governed Company Golden Record.
LakeFusion:
- Consolidated internal and external company records
- Applied AI-assisted entity resolution aligned to business-defined granularity
- Created a unified master repository for corporate entities
- Embedded governance controls to support compliance requirements
- Optimized matching strategies for scalable performance
The result was a trusted, operationally aligned source of truth for company data.
The Impact
- Improved Search Precision: Teams can now identify and differentiate corporate entities with greater accuracy.
- Reliable Analytics: Unified attributes provide consistent reporting across financial and operational workflows.
- Operational Efficiency: Reduced manual reconciliation and ambiguity in company matching processes.
- Compliance Foundation: Established a governed data framework to support expanded entity oversight and risk mitigation initiatives.
Looking Ahead
With a trusted company master in place, the organization is expanding its entity governance strategy to support broader compliance, analytics, and AI-driven initiatives — all within a scalable Lakehouse architecture.
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