Introduction

Key Relationship

DataTable

Important Field Dependencies

Available features

Add Data Field

We have this System relationship because a System is going to be associated with one or many Data Tables and that Data Table is going to be associated with only one System. Within the Data Table itself, you’re going to have data fields and these are the individual types of data that you/the user want to store in your data table. Think about the columns in your spreadsheet. Those are our data fields. So, by using the Add Data Field button, Data Table can be associated with Data Fields.

💼 Business Usage

PMO Application

Data Tables define the structure of data entities within systems, capturing table names, descriptions, and relationships. They form the foundation for data mapping, migration planning, and integration design.

Common Use Cases

Use Case	Description
System Documentation	Catalog tables across source and target systems
Migration Planning	Identify tables for data migration scope
Integration Design	Map tables between systems
Impact Analysis	Understand data dependencies
Data Dictionary	Maintain enterprise data definitions

Table Attributes

Table Name: Physical or logical name
Description: Business purpose and content
System: Parent system containing the table
Record Count: Volume of data
Sensitivity: Data classification level

Data Table Relationships

System
    └── Data Table
        └── Data Fields
            └── Data Mapping Rules
                └── Data Quality Rules

📚 References

Data - Data management overview
Data Fields - Field definitions
Systems - Parent systems
Data Mapping Rules - Mapping specifications