Data Governance

Correct Answer: Creating measurable metrics and benchmarks for data accuracy and completeness

Creating measurable metrics and benchmarks for data accuracy and completeness is the most fundamental approach to establishing data quality standards in data governance. This approach is best because: - It provides quantifiable ways to measure data quality - It sets clear, objective standards for evaluation - It enables organizations to track progress and improvements - It creates a foundation for all other data quality initiatives Why other options are less suitable: Detailed documentation of data elements is important but focuses more on data inventory than quality standards. Automated validation rules and audits are implementation tools that come after standards are established, not during the initial establishment of standards. Establishing a review committee is an organizational structure decision that supports data governance but doesn't specifically address how quality standards are created and measured.

Correct Answer: To track data origins, transformations, and movement through systems

Data lineage documentation serves as a critical component in data governance by tracking how data flows through an organization's systems. It provides transparency about where data originates, how it is transformed, and where it moves throughout its lifecycle. This documentation is essential for: - Compliance and audit requirements - Impact analysis when making system changes - Understanding data quality issues - Establishing data trustworthiness - Supporting regulatory reporting The other options are incorrect because: - While data encryption is important for security, it's not the primary purpose of data lineage documentation - Role-based access control relates to security management, not data lineage tracking - System performance metrics and query optimization are related to database administration, not data governance documentation

Correct Answer: To ensure data assets are properly managed and maintained according to organizational policies

A Data Steward's primary responsibility is to ensure data assets are properly managed and maintained according to organizational policies. This role serves as the bridge between business and technical teams, focusing on data quality, compliance, and governance. The correct answer emphasizes the core function of data stewardship: managing data assets according to organizational policies, which includes data quality, standards, and compliance requirements. The other options are incorrect because: - Developing technical infrastructure and implementing database systems is typically a role for IT or database administrators - Establishing security protocols and managing access control is primarily the responsibility of information security teams - Creating backup strategies and disaster recovery procedures falls under the scope of IT operations or system administrators