Big data asset management and control applications
At present, major industries and manufacturers are exploring data-related development technologies, application scenarios and business models. The ultimate purpose is to tap data value, promote business development, and realize profitability. Currently, the industry faces issues such as data redundancy, inconsistent standards, and difficulties in management.
Beiming Software's data asset management platform is centered around metadata and provides integrated management and control throughout the entire data lifecycle, from data aggregation to data services. Based on industry-specific business characteristics, the platform starts with the collaboration in governance consulting and the implementation of results. It establishes thematic standards and norms, unifies the collection and management of system metadata, and creates our thematic standards and norms as well as the resource classification directory system. The system then provides tools to automatically connect with various business systems, analyze the metadata, and form a metadata center. Based on this, it establishes standardized control, formulates data quality monitoring processes, and uses a data factory to standardize data processing and control. Finally, the system presents the entire data asset map, and constructs automated visual operation and maintenance, which is changed from passive to proactive, to ensure long-term system reliability.
Data is trustworthy, guaranteeing data value
Through metadata lineage analysis and impact analysis, production units can effectively maintain and manage data. This helps users understand data and provides effective information for data processing and utilization.
Data is available, improving data quality
It supports comprehensive quality control of business data, and timely discovers and solves problems by configuring data model quality inspection rules, thereby ensuring the value of data.
Data Asset Visualization
Data assets are visualized with graphical references. Through unified analysis of metadata, an enterprise-level data catalog is created, along with a panoramic data map, which includes modules such as the overall asset status, asset health status, asset standardization, etc. of the whole data.
Data security is assured
A complete security control mechanism is provided during the data service process. It ensures that the data provided is de-identified and guarantees data security at the data outlet. Data outlet security can be ensured through both dynamic and static de-identification methods. The system offers various solutions to choose from based on the actual application scenarios.
1. Chengdu Rural Commercial Bank Big Data Operation Platform Project
2. Mysteel Data Control Platform Project
3. Department of Civil Affairs of Qinghai Province Civil Affairs Comprehensive Business Platform