PureFlow
Real-time data capture, processing and distribution.
PureFlow captures, filters and enriches events from web, mobile, internet branch and third-party integrations. It distributes critical events over Kafka, manages scheduled jobs, and forwards output to reporting, data lake and monitoring channels.
Real-time processing
Event capture, filtering and processing are modular and built to scale.
Reliability and traceability
Every flow is observable, and the security and authorisation layer spans all channels.
Flexible rule management
The rule and mapping engine lets business rules change without new code.
Easy integration
Standard adapters connect core banking, third-party tools and existing reporting infrastructure.
Platform components
Adapters
SeriLog Adapter and Dynamic Payload Adapter ingest data from different sources.
Capture and filtering
The log capture and request filtering layer removes unnecessary data.
Core processing
PureFlow Core processes and enriches data through event definitions and business rules.
Scheduled jobs
The scheduler manages periodic tasks and batch operations.
Distribution
The dispatcher engine and Kafka deliver output to downstream channels in real time.
Sources
- ChannelsWeb suite, mobile, internet branch, third-party integration
- Core bankingSerial log, reporting, customer scoring / loyalty / fraud
- Third-party toolsTwo-way flow with campaign, decision and analytics tools
Outputs
- Real-time workflowsEvent-triggered process initiation
- Operational alertsInstant notification on critical events
- Reporting and analyticsTransfer to data lake and warehouse
- MonitoringLive visibility into flow health
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ViewLet's talk about the next project.
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