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Data Control
Unified MGT
Operational Compliance
Reduce Risk
Data management and control helps banks to carry out related management and control activities around the full life cycle of data assets to ensure operational compliance and risk control during the data and its application process to achieve the ultimate increase in the value of bank data and facilitate the development of banking business
Consider the design from the perspectives of strategy, organization, and governance. The establishment of a data management and control system mainly focuses on five aspects: the core domain of data management, data management and control mechanisms, IT tool support, data management and control announcements, and data management implementation route planning
Platform Function
Data Asset Management
The purpose is to serve various institutions, departments, personnel, etc., to provide data services more accurately, faster and more conveniently
Metadata Management
The purpose is to clarify the relationship and context between metadata and standardize the entire life cycle process of metadata design, implementation, and operation and maintenance
Data Standard Management
The data standard is a set of data standardization system established by the organization in line with its own reality, covering definition, operation, and application. Data standards are established, allowing data management and control to be based on rules
Data Architecture Management
Pay attention to data model and data exchange module. Data model is an important part of data architecture, including conceptual data model, logical data model and physical data model. It is the key and focus of data management and control
Data Quality Management
Data quality check definition, rule configuration, check report and other functions
Master Data Management
Integrate the most core and most needed shared data from multiple business systems in various departments, centralize data cleaning and enrichment, and deliver unified, complete, accurate, and authoritative master data to the organization in a service manner Inside
Data Lifecycle Management
Including data generation and transmission, data storage, data processing and application, and data destruction. Different management mechanisms are implemented for cold and hot data.
Data Security Management
The main solution is the security issues in the process of data storage, use and exchange, data encryption authority control, etc.
Platform Advantage
Senior data management and control experts, complete data management and control consulting system, comprehensively sort out and construct bank data
To maximize the automation of enterprise data management and control work, improve data management and control capabilities and data service levels
Platform Value
From metadata, master data, data standards, data quality to data processing, data assets, data exchange and data security, we provide enterprises with one-stop solutions
Unified management of data scattered in each system ensures the correctness and quality of the data from the source, and can improve the consistency and efficiency of development and data management
Can easily solve data management and control problems in various complex scenarios according to the actual situation of customers
Improve the quality of bank data, meet the data compliance requirements of regulatory agencies, and reduce the risk of external data reporting problems