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GrandhooRegulatory Governance for Bank Reporting
Overview
From the perspective of the entire bank, we complete the quality check of the submitted data that financial institutions need to meet. In order to meet the regulatory requirements of the People's Bank of China (PBoC), the China Banking and Insurance Supervision Commission (CBISC) and the Foreign Exchange Administration (FEAC), we help banks to do a good job of verifying the submitted data in a timely, accurate, complete, and efficient manner, and to respond quickly to the requirements of the financial regulators.
Challenges
The Banking industry needs to meet regulatory requirements. Although a unified regulatory data reporting architecture has been established, in the actual implementation process, reporting involves complex collaborative work among various roles, such as business processors, business management staff, data reporting staff, data management staff, and technical developers. Banks lack enterprise-level integration and management capabilities, which is why they have been penalized by regulators for reporting data quality issues such as "failure to comply with customer identification obligations" and "inaccurate asset quality classification".
Completeness and accuracy of the reconciliation mechanism between account detail data and the general ledger.
Reconciliation mechanism between general ledger data and data categorized in different dimensions.
Comparison and cross-validation between the Bank's consolidated statistics and 1104 reporting forms, customer risk and Examination and Analysis System Technology (EAST).
Architecture
Benefits
Automatic mining of verifying rules
Combine data analysis technology and AI technology, automatically mine checking rules within tables, between tables, across periods and between systems, and form a complete detection mechanism by combining with the built-in standard checking rules that have been accumulated.
Automatic identification of reporting data errors
Comprehensively check the final data and automatically verify the correctness of the indicators in the submitted data. As the last line of defense in the reporting process, it is the guardian of data quality.
Error localization of reported data
Show the logical topology diagram of table and table, field and field for the data submitters, indicating the location of the indexes generated by the submitted data errors and their related impact indicators.