What Is CBR
Automate and facilitate the generation of the central bank Reports through the CBR engine which uses data aggregation from core banking systems, dynamic configuration parameters through a user-friendly interface and reports reconciliation rules.

Key Features

Centralized Data Mart for Central Bank Reporting
Consolidates all data into a single, centralized platform.

Support for Manual Amendments
Tracks all manual changes with a complete audit trail, maintaining transparency and regulatory compliance.

Flexible Configuration and Customization
Easily configure reports, define parameters, and simulate "What-If" scenarios for data or business forecasts.

Maker-Checker Workflow
Implements a two-step process for report creation and approval, ensuring accuracy and compliance before submission to governing bodies.

GL Reconciliation
Detects unmapped General Ledger (GL) categories at reporting hierarchies, ensuring accurate financial data for reporting.

Separation of Data Results and Presentation Layer
Separate the results generated by the CBE engine from the presentation layer, offering greater flexibility to create customized reports and analyze the data in different formats as needed.

Configurable Report Mapping Rules
Tailor reporting rules and formats to your organization's needs through a user-friendly interface, making adjustments quick and easy without requiring specialized expertise.

Customizable for Various Regulatory Bodies
Easily adapts to meet the specific needs of different central banks and regulatory bodies across regions with minimal configuration changes.

Access to Historical Data
Provides access to past reports for compliance checks, trend analysis, and audits.

Dynamic Query Builder
A drag-and-drop interface for non-technical users to create custom queries and define reporting criteria.
Benefits
- Automate the process of central bank reports (CBR) generation and eliminate manual work.
- Build a data management platform that allows generation of such reports and can be extended and utilized later for other purposes.
- Reduce manual manipulation during reports generation through adding more control on the process.
- Streamline the process of CBR generation while minimizing dependency on personnel knowledge.
- A single data layer.
- Higher data accuracy requirements: data reconciliation and data quality issues detection mechanism.
- Role-based Access Control (RBAC) enabled solution that has the capability to assign different roles of users to access different functions and services of the system.
- CBR reports use an existing data layer in order to reuse efforts and ensure consistency of data across all calculations.
- Open architecture common solution for CBR enables futuristic incremental growth and extensibility of modules.
- CBR infrastructure is independent from core banking.
- Expand CBR function to cover all reports in all departments of the bank.
- Ability to have reporting mapping rules that are configurable through metadata which eliminates dependency on personal knowledge.
- Based on business needs; some manual amendments may be required. So, the solution supports full audit of amendments.
- CBR data model caters for common banking products and customer information based on industry-standard financial services data models.
- Data Quality The solution has the mechanism to validate data during ingestion in order to ensure correctness.
- All data are ensured for consistency through reconciling various data sources like instruments data with GL data in order to ensure consistency.