What is a key purpose of an effective data management strategy in governance?

• A. Increase licensing costs
• B. Define roles and responsibilities of metadata managers
• C. Remove data quality controls
• D. Automatically generate AI models

Answer: (B)

A data management strategy in governance aims to establish clear ownership and accountability for the organization’s data assets, including the metadata that describes them. Defining the roles and responsibilities of metadata managers sets who creates, approves, maintains, and audits metadata, ensuring it stays accurate, standardized, and up-to-date. When these roles are explicit, metadata becomes reliable and discoverable, enabling better data quality, lineage tracking, compliance, and informed decision-making. Without defined roles, metadata can be neglected or inconsistent, making data harder to trust and govern.

The other options don’t fit this governance goal: increasing licensing costs isn’t a governance objective, removing data quality controls undermines governance, and automatically generating AI models isn’t about establishing metadata stewardship.