When It Comes To Risk Management
Data Quality Matters
COMPASS DATA QUALITY MANAGER
Financial institutions are required to process data at the highest standard of accuracy. While there are internal processes to control data quality, these are not foolproof.
COMPASS DATA QUALITY MANAGER is an integrated solution that applies various technologies to detect operational data anomalies, hence mitigate the operational risk of financial institutions.
DATA RECONCILIATION ENGINE
The Information Technology environment of financial institutions is always heterogeneous, in which data may scatter across several systems from internal to external, and cause data inconsistency. Our Data Reconciliation Engine is a well-proofed data reconciliation solution. It's scalable and parallel computing architecture provides a highly efficient operating model to reconcile data from different sources.
DATA SANITY CHECK ENGINE
Financial institutions are being plagued by the data sanity problem for a long time. Such problem is causing not only the operational risk but also the reputation and financial risk. Our Data Sanity Check Engine is an award-winning solution that applies various technologies, including artificial intelligence, to detect data anomalies.
CLIENT DATA ENTITLEMENT
One of the most common and critical operational risks in Wealth Management Institution is controlling the access of client information such as investment portfolio. The intricacy of organization structure causes not just manageability issues, but also the compliance issues. Our Centralized Client Data Entitlement Engine provides client data access information to all downstream system.