Risk Data Mart Risk Data Mart
Risk Data Mart
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Product Introduction
Risk Data Mart
Risk Data Mart
Risk Data Mark locates in the unified management center of enterprise-level risk data, aggregates and integrates enterprise risk-related business data including asset managment, risk rating, risk mitigation and external markets. Through unified risk index calculations, risk data mart can effectively identify, measure, monitor and control the various risks encountered by enterprises, providing a data basis for business decision-making, operation management, external supervision, etc. in order to continue improving the level of refinement of enterprise risk management and effectively implement risk management requirements.
Product Features
Model maturation
Model maturation
Possess rich experience in the implementation of risk data marts in the financial industry with mature risk mart data models, adopt inverse paradigm model design methods, process and store source business data hierarchically in each subject area of each data layer to improve the availability and ease of use of risk data
Rich experience in downstream risk application support
Rich experience in downstream risk application support
Rich experience in supporting downstream risk application implementation such as retail internal review system, comprehensive risk management system, collateral system, RWA system, ICAAP system, list system, IFRS9 system, etc. and able to quickly respond to the needs of downstream risk application construction, reducing applications construction risk and implementation cost as well as establishing a reliable risk data platform foundation
Improve the quality of risk data
Improve the quality of risk data
Integrate all enterprise risk data, unify risk data sources, implement data standardization requirements through technical integration of underlying data combined with industry implementation experiences to ensure the accuracy and consistency of risk management data. It can also prevent various risk applications from isolating to each other during customers and accounts data processing, and eventually ensure the quality and integrity of data
Application Scenarios
Regulatory risk data Applicable to financial industry companies such as banks, securities, insurance and finance companies to improve the quality of risk data and meet regulatory risk data requirements
Data foundation It can provide a data foundation for the construction of application systems such as enterprise comprehensive risk management, retail internal evaluation, smart marketing, risk-weighted asset measurement (RWA), internal capital adequacy assessment measurement (ICAAP) and the reform of the International Financial Reporting Standards (IFRS9)
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