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Transforming Entity Resolution for a Global Bank: 2X Attribute Coverage, 87% Faster Onboarding, and 50% Lower Costs Through Scalable Data Enrichment

Technology
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 Business Situation 

A leading global bank was facing major operational inefficiencies due to fragmented entity data, manual enrichment processes, and inconsistent hierarchy mapping, which hindered onboarding speed, risk profiling, and compliance workflows. 

The bank dealt with high volumes of structured and unstructured data across multiple systems, with limited standardization. Moreover, entity information from both internal sources and third-party providers lacked consistency, leading to duplicate records, outdated attributes, and visibility gaps in ownership hierarchies, ultimately impacting decision-making and regulatory readiness. 

  

SGA Approach

SGA’s enhanced entity resolution process is designed to provide comprehensive, accurate, and reliable data — now with 2X the attributes per entity (80+ attributes) and a commitment to 99% uptime.

Our Framework:

  • Deduplication: SGA performs a rigorous deduplication process across the entity universe to ensure uniqueness and data hygiene.
  • Deep Research: Our analysts enrich data using a combination of authorized free and paid sources, including:
    • Government registries
    • Stock exchanges
    • Official company websites
    • Regulatory filings
    • Licensed data vendors
  • Hierarchy Mapping: In addition to enriching the entity itself, SGA researches and maps the immediate and ultimate parent hierarchies, delivering a clear, structured ownership view.
  • Data Refresh & Quality Assurance: Data is refreshed twice daily, and all enriched information undergoes QA and supervisor approval before delivery.

Key Takeaways

  1. Enhanced Data Depth & Availability: Delivered 2X attribute coverage with over 80+ enriched attributes per entity, 99% uptime, and twice-daily data refreshes — ensuring real-time reliability for critical risk and compliance workflows. 
  2. Comprehensive Visibility & Compliance Alignment: Offered end-to-end research and hierarchy mapping from entity to ultimate parent, with structured, regulatory-ready data aligned to global compliance standards. 
  3. Significant Operational Efficiency Gains: Achieved 50% reduction in operating costs and 87% decrease in client onboarding time through automation and streamlined entity data management. 
  4. Massive Scalability with Proven Growth: Scaled entity coverage by 3x, expanding from 275,000 entities in Year 1 to 1 million in Year 2 (effective April 2025).
  5. Client-Centric Data Control: Shifted data IP ownership to the client, enabling long-term control, flexibility, and compliance autonomy. 

Related Tags

AI - Artificial Intelligence Data Data Management Technology

About SG Analytics

SG Analytics is a leading global data solutions firm providing data-centric research and contextual analytics services to its clients, including Fortune 500 companies, across the Financial Services, Technology, Media & Entertainment, and Healthcare sectors. Established in 2007 and a Great Place to Work certified company, SGA has over 1600 employees and has a presence across the US, the UK, Switzerland, Poland, and India.

Besides being recognized by analyst firms such as Gartner, Everest Group, and ISG, SGA has been part of the elite Deloitte Technology Fast 50 India 2024 and APAC (Asia Pacific) 2025 High Growth Companies by the Financial Times & Statista.

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