All of the following are Data Governance goals EXCEPT:

Prepare for the DAMA Data Management Body of Knowledge Exam with multiple choice questions. Each query comes with hints and explanations. Excel in your exam with confidence and comprehensive understanding!

The goal of data governance encompasses ensuring that an organization’s data is managed effectively, with a focus on quality, security, privacy, and compliance with regulations. Data governance aims to improve data security, enhance the effectiveness of staff, and minimize or eliminate re-work by establishing clear policies and procedures regarding data management.

Improving data security is crucial as it helps protect sensitive information and maintain trust with stakeholders. Optimization of staff effectiveness is also essential because clear governance structures and responsibilities allow personnel to work more efficiently and make informed decisions regarding data use. Minimizing or eliminating re-work focuses on reducing redundancy and enhancing data quality, which contributes to better decision-making and productivity.

While decreasing regulatory fines could be seen as a benefit of effective data governance (since compliance with regulations is a component of governance), it is not typically classified strictly as a goal of data governance itself. Instead, the overall objective is to create a comprehensive framework for managing data throughout its lifecycle, which indirectly contributes to regulatory compliance but is not a primary goal.

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