Data Migration and Governance in Technology Implementation

Correct Answer: Implementing automated validation checks and reconciliation processes

Implementing automated validation checks and reconciliation processes is the best approach for ensuring data quality and integrity during migration because: - It provides systematic verification of data accuracy - Enables consistent validation across the entire dataset - Reduces human error in the verification process - Allows for real-time identification and correction of issues - Can be repeated consistently across multiple iterations - Ensures scalability for large datasets Other approaches are less effective because: Executing a complete transfer and fixing issues afterward risks data corruption and may lead to system downtime. Manual checks on random samples may miss critical errors and are not comprehensive enough for enterprise data. Multiple trial migrations with partial datasets, while better than complete transfers, may not catch integration issues that only appear with full data volumes and may extend the migration timeline unnecessarily.

Correct Answer: Establishing clear data ownership roles and conducting regular compliance audits

Establishing clear data ownership roles and conducting regular compliance audits is the most effective practice for successful data standards adoption because: 1. It creates clear accountability by designating specific individuals responsible for data quality and standards 2. Regular compliance audits ensure ongoing adherence to standards 3. It combines both organizational structure and monitoring mechanisms 4. It enables continuous improvement through feedback from audits The other options are less effective because: Creating documentation alone doesn't ensure adoption - it's passive and lacks accountability mechanisms. Automated validation tools and reports are technical solutions that don't address the human and organizational aspects of adoption. Data dictionaries are reference tools but don't provide the governance structure needed for organizational adoption.

Correct Answer: Ensure data quality standards and maintain data integrity throughout the migration process

A Data Steward's primary responsibility is to ensure data quality standards and maintain data integrity throughout the migration process. They are the guardians of data quality, accuracy, and consistency. During data migration, the Data Steward: - Validates data quality and accuracy - Establishes and enforces data standards - Monitors data integrity - Reviews and approves data transformations - Ensures compliance with data governance policies The other options are incorrect because: - Creating technical specifications and developing migration scripts is typically the responsibility of technical teams or developers - Establishing project timelines and resource allocation is the Project Manager's role - Defining hardware requirements and infrastructure setup falls under the IT Infrastructure team's responsibilities