Data Centralization Standards

Person Data Centralization

Summary: Centralize and integrate all person-related data from multiple sources into a cohesive system using graph and relational databases, ensuring data integrity, deduplication, and validation.

Features

Feature 1: Data Collection and Ingestion

• Description: Collect and ingest person-related data from various systems into the graph database for initial processing.

Feature 2: Data Cleaning and Deduplication

• Description: Use the graph database to match and remove duplicate records, ensuring each record is assigned a unique G_Person ID.

Feature 3: Integration with Relational Database

• Description: Transfer deduplicated and validated records from the graph database to the relational database, maintaining a G_Person ID linkage and validation flags.

Feature 4: Synchronization and Data Quality Maintenance

• Description: Ensure continuous synchronization between the graph and relational databases, implementing routines for data quality checks and validation.

Feature 5: Visualization and User Interaction

• Description: Use the graph database to provide graphical representations of person relationships and enhance the Vision system’s user interface for better data interaction.