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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.
Data schema extensibility is available for admins to add custom fields.
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2. Versioned API Support
Backward-compatible management of API version changes.
No information available
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3. Sandbox Environment
Environment for testing integrations and customizations safely.
Sandbox/test environments are available in enterprise and developer editions.
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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.
No information available
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6. Third-party Model Import
Ability to ingest externally developed models (e.g., PMML, Python, R).
Third-party models (Python, R, PMML) can be imported for analysis and scoring.
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7. BI Tool Compatibility
Native integration with major BI products (Power BI, Tableau, etc.).
Native Power BI, Tableau and other BI tool integrations are supported.
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8. Custom Workflow Integration
Ability to combine risk analytics into larger business workflows.
Risk analytics can be embedded in broader workflows via APIs and automation.
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9. Data Export APIs
REST or SOAP APIs to export risk data/analytics to other systems.
REST and SOAP APIs for export are detailed in Qlik developer resources.
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10. Plug-in/API Library
Pre-built connectors or plug-ins for banking, BI, or risk management platforms.
There are pre-built connectors and plug-ins for banking and BI ecosystems.
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