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at Financial Technnology Year
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1. Extensible Data Schema
Ability for admins to easily extend data structures for additional fields.
Custom data field creation, extension, and admin configuration supported.
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2. Versioned API Support
Backward-compatible management of API version changes.
APIs are versioned, and backward compatibility discussed in developer docs.
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3. Sandbox Environment
Environment for testing integrations and customizations safely.
Sandbox/test environments provisioned for user validation and development.
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4. Event-driven Integration
Trigger actions or analytics based on external events.
No information available
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5. SFTP/Batch File Interface
Support for exchanging bulk risk data using SFTP or shared storage.
SFTP and secure file exchange capabilities included for batch/larger data.
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6. Third-party Model Import
Ability to ingest externally developed models (e.g., PMML, Python, R).
Allows users to import and deploy PMML, Python, and R models.
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7. BI Tool Compatibility
Native integration with major BI products (Power BI, Tableau, etc.).
Integration with Tableau, Power BI, and others cited.
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8. Custom Workflow Integration
Ability to combine risk analytics into larger business workflows.
Custom workflow engine allows for risk analytics to be called in business flows.
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9. Data Export APIs
REST or SOAP APIs to export risk data/analytics to other systems.
APIs enable data export to downstream systems (REST and SOAP documented).
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10. Plug-in/API Library
Pre-built connectors or plug-ins for banking, BI, or risk management platforms.
Provides plugins/connectors for core banking/risk and BI platforms.
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