Entity Management Platform for Banks
Data Management Platform is Built For:
Banks
Global Banks
Large Banks
Regional Banks
Community Banks
Banks
Global Banks
Large Banks
Regional Banks
Community Banks
How SGA’s Data Management Platform is Different
Comprehensive Legal Entity Reference Data
- API-based extraction of key identifiers such as LEIs, RSSD, and CRD.
- Ability to enrich 80+ entity-related information through our proprietary knowledge base and data sources.
Detailed Hierarchy & Corporate Actions Data
Provides entity hierarchy insights, including beneficial ownership details. Includes up-to-date corporate actions data for accurate and timely decision-making.
Automated Workflow for Data Quality Assurance
- Built-in workflow automation for entity enrichment, maker-checker validation, and rework processes.
- Ensures consistent data quality and reduces manual intervention.
Seamless API Integration with Third-Party Data Providers
Easily integrates with external data sources to enhance data accuracy and completeness.
ML-Powered Address Parsing
Converts address data into ISO format using advanced ML algorithms.
Built-In Referential Integrity
- Domain-specific data validation and referential integrity business rules.
- Automatic pre-filling of attributes to maintain data consistency.
Compliance Regulatory-Related Attributes are Available
- FR 2052A Reporting.
- Anacredit-related regulatory attributes are available on the platform.
Sophisticated ML-Powered Deduplication and Reconciliation
- Ability to identify duplicates using an ML algorithm that identifies common threads between similar entities.
- Reconciliation of duplicate entities without loss of critical information.
Our Data Management Platform
FAQs – Data Management Platform
What problems does the Data Management Platform solve for banks?
The platform solves the critical challenge of maintaining accurate and consistent legal entity data across a bank’s vast, and often fragmented, systems. Banks struggle with data silos, manual reconciliation, and the constant need to meet evolving regulatory requirements such as FR 2052A and AnaCredit. Our platform provides a unified, automated approach that ensures data integrity, regulatory compliance, and operational efficiency.
How does the platform help improve data quality?
Our platform ensures data quality through a multi-layered approach:
- AI-powered validation: Automatically extracts and validates key information from various data sources, including unstructured documents.
- Automated workflows: Enforces strict data quality checks and validation rules, flagging and preventing errors before they propagate.
- Referential integrity: Maintains accurate relationships between entities, accounts, and hierarchies, creating a ‘golden record’.
- Comprehensive version history: Tracks all changes with a full audit trail, ensuring every data point is transparent and accountable.
- Domain expert-led inputs: Highly experienced domain experts help with enriching the data that can’t be automatically enriched, which differentiates our platform from a pure, rules-led platform.
What makes this platform different from traditional entity resolution solutions?
Unlike traditional solutions that primarily focus on matching algorithms, our platform is a comprehensive entity management system that offers:
- AI-led intelligence: GenAI capabilities to intelligently extract and enrich entity data from legal and corporate documents and other authentic sources from the web.
- Regulatory-specific data models: Pre-built attributes and validations for major banking regulations, accelerating compliance efforts.
- Smart dashboards: Real-time visibility into the health of your entity data and compliance status.
- Unified ecosystem: A central source of truth for all entity data, breaking down silos and providing a consistent view across departments.
How does the platform help with regulatory compliance?
The platform helps banks meet and exceed regulatory requirements by embedding compliance into the data lifecycle. It includes pre-built attributes and validations for key regulations and maintains comprehensive version histories with supporting documentation, creating an undeniable audit trail. The automated workflows and alerts ensure that all entity data is continuously monitored for compliance and is always audit-ready.
How does the platform leverage AI & ML?
AI and ML are foundational to our platform’s capabilities:
- Intelligent data extraction: GenAI-powered document intelligence automates the extraction of entity information from unstructured documents.
- Data standardization: ML algorithms standardize and normalize entity data from multiple sources.
- Advanced matching: Our matching engine continuously learns and improves its accuracy in identifying and deduplicating entities across the enterprise.
- Anomaly detection: AI models monitor for and flag unusual changes or patterns in entity data, preventing potential fraud or errors.
What kind of benefits can banks expect?
Early adopters have reported significant benefits, including:
- A reduction in the time and cost associated with manual data entry and reconciliation.
- Faster and more accurate regulatory reporting cycles.
- A decrease in data quality issues and operational risks.
- An improvement in the speed and accuracy of client onboarding and KYC processes.
- Enhanced ability to respond to internal and external audits with confidence.