AI-Powered Entity Resolution: 40% Higher Accuracy, 50% Less Manual Effort

EYQA® · The Narrative Defensibility Platform™

Vetted Case Study | Financial Data Integrity

SG Analytics x Custodian Bank
AI-Powered Entity Resolution

A cloud-native transformation delivering 40% higher accuracy, 50% less manual effort, and regulatory confidence — independently vetted under the EYQA SHARE framework.

Data & AI Engineering Excellence

🔍 Operational Efficiency 📊 Risk Mitigation

How SG Analytics Helped a Leading Custodian Bank Transform Operational Accuracy and Efficiency Using Cloud-Based AI Models

Visual walkthrough

Transformation at a glance

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Overview

A global custodian bank struggled with resolving client entity records across multiple disconnected systems. Manual processes resulted in duplicated profiles, errors, and compliance risks. SG Analytics implemented a cloud-native, AI-powered entity resolution platform, delivering:

◆40% higher accuracy in entity resolution

◆50% reduction in manual effort

◆Improved operational agility and scalability

The Challenge

Critical pain points

◆8,000+ daily transactions across 12+ siloed systems, leading to inefficiencies

◆High manual effort for de-duplication and match resolution

◆Regulatory pressure to improve accuracy and reduce reporting latency

◆Inability to scale operations without escalating costs

The Solution

Platform, AI strategy & operations enablement

Platform & Architecture

◆Cloud-based infrastructure for scalability and real-time performance

◆Seamless integration with internal and third-party data sources

◆Secure, continuous processing of high-volume client records

AI & ML Strategy

◆Hybrid ensemble of decision trees and neural networks for optimal results

◆Advanced features like transaction patterns and account linkages to boost precision

◆Rigorous validation using separate datasets to ensure robustness

Operations Enablement

◆Automated a significant portion of entity resolution

◆Reduced reliance on manual workflows and reviews

◆Integrated with downstream systems like KYC and compliance

The Impact

Measurable results

Resolution Accuracy

↑ 40% improvement over baseline

Manual Effort

↓ 50% reduction in manual intervention

Scalability

Enabled real-time, high-volume data processing

Data Quality

Improved consistency and completeness of client records

Regulatory Readiness

Strengthened confidence in compliance reporting

Why It Worked

◆Tailored ML algorithms to address banking-specific data challenges

◆Focused on operational bottlenecks for direct efficiency gains

◆Delivered a unified client view to support regulatory and service improvements

Key Takeaway

SG Analytics' AI platform empowered the bank to resolve entities faster, more accurately, and at lower cost—transforming a compliance burden into a competitive advantage.

Transformation Validation Pathways

Experience, Yield, Quality & Agility

Pathway	Scalability Evidence	Growth Axis
Experience	◆12+ system integrations ◆API-first design	Extend to: Asset management data harmonization, broker-custodian validation
Yield	◆50% ↓ manual effort ◆Real-time matching	Scale to: Client data remediation pipelines, automated regulatory filings
Quality	◆40% ↑ accuracy (10% → 6% errors) ◆Golden record creation	Apply to: Periodic KYC refresh cycles, subsidiary ownership mapping
Agility	◆Cloud-native (multi-region support) ◆8K+ tx/day capacity	Accelerate: Cross-border entity onboarding, new product deployment timelines

EYQA Case Study Vetting Methodology

SHARE framework: Scalability, Human Value, Actionability, Replicability, Evidence

This SG Analytics case study adheres to the SHARE framework — evaluating Scalability, Human Value, Actionability, Replicability, and Evidence — with multi-dimensional review for:

◆Strategic Viability (ROI, market readiness)

◆Stakeholder Impact (boardrooms to operations teams)

◆Innovation Rigor (process redesign to AI/ML optimization)

Empowering executives, investors, and changemakers to turn insights into execution.

Contributor Acknowledgments

SG Analytics' Data & AI practice

This transformation was delivered by SG Analytics' Data & AI practice. For inquiries:

Key Contacts:

Kulwinder Singh

Chief Marketing Officer

Kulwinder.singh@sganalytics.com

Strategic AI/ML partnerships

Supriya Dixit

SVP, Marketing

Supriya.dixit@sganalytics.com

Client success programs

About SG Analytics:

SG Analytics (SGA) 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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▶ Legal Disclaimers

© EYQA®. All rights reserved. EYQA is a registered trademark.

1. General Use & Accuracy: This case study documents a project executed by SG Analytics, an EYQA®-vetted partner. EYQA® does not guarantee the accuracy, completeness, or applicability of the results, which are specific to SG Analytics' client engagement. Outcomes may vary based on organizational context.
2. Client & Third-Party Relationships: This case study involves a confidential SG Analytics client engagement. EYQA®'s role was limited to independent vetting and publication.
3. AI/ML Implementation: AI/ML strategies referenced in this case study were designed and executed by SG Analytics. EYQA®'s review was limited to methodological rigor, not technical implementation.
4. No Liability for Results: The reported metrics (e.g., 40% higher accuracy, 50% effort reduction) reflect SG Analytics' internal benchmarks. EYQA® did not independently audit these claims and disclaims liability for decisions made based on this data.
5. Takedown Requests: To report inaccuracies or request content removal, email validation@eyqa.org.
6. Intellectual Property: © SG Analytics. All rights reserved. This case study is published with permission from SG Analytics. Unauthorized reproduction, distribution, or commercial use is prohibited.

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