Information Management & Business Intelligence
Enterprise Event HandlingCBR (Central Bank reporting)
What 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.
Benefits
Automate the process of central bank reports (CBR) generation and eliminate manual work
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
Build a data management platform that allows generation of such reports and can be extended and utilized later for other purposes
Centralized data mart for central bank reporting instead of scattered environments
A single data layer
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
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
Ability to have reporting mapping rules that are configurable through metadata which eliminates dependency on personal knowledge.
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
Ability to have reporting mapping rules that are configurable through metadata which eliminates dependency on personal knowledge.
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
CBR data model caters for common banking products and customer information based on industry-standard financial services data models
Reports are reviewed and approved through a maker checker workflow before publishing to governance bodies, e.g., central bank, iScore, etc
It is very important to archive copies of generated reports that are shared with 3rd parties for audit purposes
Based on business needs; some manual amendments may be required. So, the solution supports full audit of amendments
Parameterization and What-If due to employing metadata of reports and configuration parameters through solution portal. This allows reports customization and future changes
Renca 
iGreeter