Recently, with excellent project implementation experience in the field of regulatory compliance and accurate grasp of regulatory requirements, RIKING successfully won the bid for the renovation project of the new core system construction regulatory submission module of a city commercial bank.

RIKING will carry out in-depth cooperation with the city's commercial banks in the whole regulatory reporting system, focusing on 1104, reporting,FBDRS,AML, second-generation credit reporting,SAFE and other up to 30 systems, more than 1,500 data processing tables for transformation, and cooperate with the new core project joint commissioning. RIKING will help the city's commercial bank improve data quality, give full play to the value of data, and empower business development.

In recent years, with the requirements of digital transformation and data governance, financial institutions are facing the needs and challenges of data fragmentation and silos, risk management, compliance requirements, and improving regulatory efficiency. With the formal formation of the "four-level vertical management" regulatory framework, the trend of strong supervision and strict supervision has become increasingly significant, which puts forward higher requirements for the data governance of financial institutions. Regulatory data governance has become the only way for financial institutions to digitally transform, and it is imperative to drive regulatory data quality rectification with regulatory application scenarios! RIKING helps financial institutions establish a long-term data governance mechanism, govern from the source of data, and unify data standards and calibers through a unified regulatory market model, so as to form an internal driving force for digital transformation.

Financial Regulatory Data Mart

Features

• From the perspective of the whole bank, "one-stop" to meet the regulatory requirements of regulators, and build a set of secure, credible, visible and usable data assets for the long-term value and business value of regulatory data;
• Build a unified data standard and data model, realize centralized storage and unified management of data, realize centralized storage, management and sharing of regulatory submission data, improve data quality and availability, and break data silos;
• Highly standardized, standardized index system construction and management, improve data transparency and traceability;
• Flexible data analysis and visualization tools, value and operation are presented on a large screen, improving the efficiency and effectiveness of supervision, and providing decision-making support for regulatory authorities;
• Scenario-based logic processing layer design to achieve regulatory differentiation analysis and special scenario processing;
• Agile data product development process, automated data management, and efficient cross-domain collaboration mechanism to reduce operational costs.

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