📁 Data Management

Data management capabilities within the AMIGO platform for defining, mapping, and migrating data across systems.

📖 Overview

The Data module in AMIGO provides comprehensive functionality for managing all aspects of data throughout your digital transformation program. From defining data structures to tracking migration execution, AMIGO ensures data integrity and traceability.

📋 Data Objects

Core Data Structures

Object	Description
Systems	Current and future state system definitions
Data Tables	Tabular data storage structures within systems
Data Fields	Individual data types within tables
Data Domains	Logical groupings of related data

Data Migration & Mapping

Object	Description
Data Mapping Register	Field-level data transformation documentation
Data Mapping Rules	Logic rules for data transformation
Data Migration Execution Statistics	Migration metrics and validation results

Data Quality

Object	Description
Data Cleansing Tracker	Manual data correction tracking
Data Quality Rules	Data quality validation rules
Strategic Datum	Strategic data definitions

🔗 Key Relationships

Systems → Data Tables → Data Fields
    ↓
Data Mapping Register → Data Mapping Rules
    ↓
Data Migration Execution Statistics

💼 Business Usage

PMO Application

Data management in AMIGO supports the critical data migration and integration activities that are central to any digital transformation program. By providing comprehensive tracking of data structures, mappings, and migration execution, program teams can ensure data integrity throughout the transformation lifecycle.

Common Use Cases

Data Migration Planning: Document source-to-target field mappings for ETL development
Data Quality Assurance: Define and track data cleansing activities before cutover
Migration Validation: Track execution statistics to verify successful data transfers
Compliance Documentation: Maintain audit trails of data transformation rules

*Related: Technology

Testing*