Scheme background

Scientific decisions for business activities of commercial banks are made by relying on complete and continuous data system. Data is the key to market oriented decision of commercial banks. Data governance generates direct value for the operation and management of commercial banks, which is also an inevitable choice for China’s commercial banks facing internal and external challenges under interest rate liberalization and Basel Agreement III, and is furthermore the fundamental way for China’s commercial banks to give play to the value of data assets in the era of big data. Main objectives of the data governance system construction plan: strengthen information management and information services to better satisfy external regulatory requirements as well as analysis and decision-making needs of all departments of the bank. The data management organization architecture construction and system construction, data standard formulation and maintenance, and data quality management can help to fundamentally solve the problems of information silo and isolated information island, achieving the integration of data between systems.

Scheme content

Data management and control mechanism: it is better to operate the data management and control organization in a three-tier organizational structure. The top tier is a data control committee made up of leaders from relevant business units. The middle tier is the data control working group, which is composed of managers who coordinate the specific works of data control. Then the last tier is the data execution group, responsible for daily data management. In the field of data management and control, the data management and control refers to a process, policy, standard and related technical means formulated to meet the internal information needs of enterprises and improve the level of enterprise information service, which is used to ensure the availability, accessibility, high quality, consistency and security of information.

Scheme value

Scheme value: data control system scheme is used to carry out the comprehensive governance to the data through data management architecture construction and system construction, data standard establishment and maintenance and data quality management from the perspective of the data by combining with business and technical requirements, so as to realize the comprehensive management of data assets, optimize the data assets quality and application efficiency, and further raise the level of enterprise data asset management and information service, forming a differentiation competitive advantage and core competitiveness.