Overview
The Reconciliation Manager streamlines and automates the process of matching data across disparate systems to ensure accuracy and consistency in financial and operational records. It leverages a configurable rules engine and automated workflows to identify discrepancies, manage exceptions, and facilitate manual interventions when needed.
Features & Capabilities
Reconciliation Strategies
The module supports three reconciliation strategies to meet diverse data comparison needs:
- ONE_TO_ONE: Compare two data sets directly (1:1).
- ONE_TO_MANY: Compare multiple data sets against a single primary data source (1:N).
- MANY_TO_MANY: Compare multiple data sets with each other (N:N).
Core Service
The Reconciliation module provides a dedicated microservice, the RECONCILIATION_MANAGER, which supports the following functions:
- Manage data sources to reconcile
- Aggregate reconciliation results for robust data analysis
- Stream reconciliation results and analytics in real time
- Facilitate both manual and automated reconciliations for flexible operations
- Integrate with data pipeline to pull data from an external source
- Offer intuitive visuals that highlight discrepancies, pinpoint breaks, and allow users to comment on them.
Integrations
- Seamless integration with ERP systems, banking feeds, and other financial data sources via RESTful APIs.
- Real-time synchronization to ensure up-to-date reconciliation status.
- Event-driven architecture with support for webhooks and scheduled batch processing.
Customization
- Flexible configuration of matching rules, exception handling workflows, and notification settings.
- Customizable dashboards and reporting formats to meet specific business requirements.
- Extensible framework to incorporate additional data sources and reconciliation logic.
