Scheme background

Modern commercial banks face many challenges, including the deepening challenges of financial reform, competition from foreign banks, development needs of bank internationalization, increasingly mature requirements of clients, and increasingly strict supervision of banks by regulators, which requires financial enterprises to accurately master the business status and make accurate decisions through fully grasping and analyzing the business data and information. Banks need to establish enterprise-level data centers to realize the management of the overall information assets of the banking industry, construct the operation service system of information assets, and build a powerful management system and decision support system based on the data platform, so as to enhance the business value of bank information assets. The enterprise-level data centers achieve the standardization and architecture of data by integrating the internal data from various transaction systems and management systems, to provide the consistent, accurate, complete and flexible basic data management; meanwhile, the data service platform for data processing, calculation, and application is constructed to enhance the added value and embedded value of data, so as to provide high value-added information services for the development and management of business; furthermore, an information asset-based operation service system is established to provide the mode from optimizing the enterprise operation and management to providing the creation of business value and developing the unique information value-added business; finally, the comprehensive and stereoscopic management of banking information assets is achieved.

Scheme content

After years of accumulation and research on the service consultation and implementation of bank data integration and business intelligence, Chinasoft International Data Service Team has formed an overview of data center construction in the banking industry: data integration capability: data integration capability is the foundation of bank data center. Through the construction of such capability, the business data is cleaned and processed in real time and non-real time, and archived and stored as valid information for subsequent analysis and processing. The data, including structured data and unstructured data, is processed through streaming computing, parallel computing, distributed computing and memory computing. Data control capability: data is the core of data center, and the construction of data control ability must be strengthened to ensure the quality of data. By meeting the internal information needs of enterprises and improving the level of enterprise information services, relevant processes, policies, standards and related technical means are formulated to ensure the availability, accessibility, high quality, consistency and security of information. Data application capability: through the building of data application capability, the data center can meet the daily statistical statement, analysis statement and management statement of each business department of the bank; provide KPI monitoring and strategic execution monitoring required by senior leaders; and provide ACRM, performance appraisal, balanced score card, asset and liability management, risk management and other application systems. Data service capability: the data service capability is established to provide end-users with multiple ways of data obtaining. Data analysis team: the operation of the bank data center needs the support of professional data analysis team. Banks can maximize the capabilities of their data centers by building analysis teams of different levels and across different lines of business.