An enterprise is replacing its customer relationship management (CRM) system with a cloud-based system.

The enterprise data architecture is the blueprint that defines how data is collected, stored, processed, integrated, and distributed within the enterprise. It also specifies the data standards, policies, rules, and models that govern the data lifecycle. Reviewing the enterprise data architecture is the first step when preparing for data migration, as it helps to identify the source and target systems, the data entities and attributes, the relationships and dependencies, the data quality and security requirements, and the potential challenges and risks of the migration. Reviewing the enterprise data architecture also helps to align the data migration with the business objectives and strategies, and to ensure that the migrated data supports theenterprise’s information needs and decision making. References: CGEIT Exam Content Outline | ISACA1, CGEIT Review Manual (Digital Version), Data Architecture: A Primer for the Data Scientist, Data Migration: A Comprehensive Guide