Which governance artifact helps assign responsibility for data quality in a Clarity model?

Prepare for the Cogito Clarity Data Model Test with comprehensive study materials. Access flashcards, multiple choice questions, detailed explanations, and hints. Ensure you're fully ready to excel in your exam!

Multiple Choice

Which governance artifact helps assign responsibility for data quality in a Clarity model?

Explanation:
Assigning accountability for data quality through defined roles is what this question tests. In governance for Clarity, the way to ensure data quality is by establishing data stewardship roles that designate who is responsible for data assets, who owns the data, and who handles quality rules, validation, and remediation when issues arise. These roles create clear ownership and accountability, so data quality isn’t left ambiguous or neglected. A data dictionary, while essential, focuses on describing what each data element means, its formats, and its relationships. It helps everyone understand the data, but it doesn’t assign who is responsible for ensuring its quality. Statements about not being required for all datasets or about governance artifacts only existing for large organizations miss the point of governance: ownership and stewardship should be established for data assets across the organization to maintain quality and accountability.

Assigning accountability for data quality through defined roles is what this question tests. In governance for Clarity, the way to ensure data quality is by establishing data stewardship roles that designate who is responsible for data assets, who owns the data, and who handles quality rules, validation, and remediation when issues arise. These roles create clear ownership and accountability, so data quality isn’t left ambiguous or neglected.

A data dictionary, while essential, focuses on describing what each data element means, its formats, and its relationships. It helps everyone understand the data, but it doesn’t assign who is responsible for ensuring its quality.

Statements about not being required for all datasets or about governance artifacts only existing for large organizations miss the point of governance: ownership and stewardship should be established for data assets across the organization to maintain quality and accountability.

Subscribe

Get the latest from Examzify

You can unsubscribe at any time. Read our privacy policy