01
Data Standardization Management
Standardizing inconsistent terms, domains, and codes to ensure data consistency, and eliminating inter-system errors based on a standard data dictionary to improve data quality
02
Data Structure and Model Management
Collects and manages logical and physical model information by integrating with various modeling tools, and automatically tracks change history to prevent discrepancies between the data model and the actual database
03
Data Lineage and Impact Analysis
Visualizes the flow of data—from its origin through transformation to utilization—to proactively prevent system failures
04
Automated Standards Validation
Automatically validates whether submitted standard words, terms, and domains comply with established standardization principles
05
Centralized Metadata Repository
Integrates and manages metadata from distributed systems—including DB schemas, data models, and application programs—into a single centralized repository
06
Flexible Workflow Support
Systematically controls the data management process—from standard registration and model changes to deployment requests—by integrating with the electronic approval system