Veja como você pode alinhar suas decisões com os objetivos estratégicos como profissional de governança de dados.

You have to first understand your organization’s goals in order to make any decisions in relation to data governance program. The most effective way to achieve this is to engage with senior leadership with regular meetings to understand the strategic direction and priorities of the organization. Review strategic plans, mission statements, and annual reports to gain insights into long-term goals and objectives. Align Data Governance Objectives Map data governance objectives to organizational strategic goals, ensuring that every data governance initiative supports broader business aims. Prioritize data governance projects that have the most significant impact on achieving strategic goals.

Aligning decisions with strategic goals involves several key steps that I learned from my experience: Understand Business Objectives: start with understanding the organization's strategic objectives that enable the alignment of data governance initiatives. Develop Data Strategy: that outlines how data management practices will support these objectives. Stakeholder Collaboration: Collaborating with stakeholders across departments is crucial to fostering strong relationships and ensuring a mutual understanding of strategic objectives.

Here I can add one crucial point which is stay informed about relevant data governance regulations and compliance standards, such as SDAIA (NDMO) or DAMA. This understanding ensures that data governance policies align with both organizational goals and external requirements.

- Define metrics that align with the strategic objectives. - Conduct an assessment to understand the current state and set the baseline for improvement. - Continuous Monitoring and Adjustment

By fostering an ongoing process of evaluation and enhancement as a data governance professional the strategic goals of an organization can constantly be aligned with your decisions, this means regularly assessing data policies, practices, and outcomes to ensure they support the organization's objectives. Implementing a cycle of planning, execution, review, and refinement allows for the identification and correction of inefficiencies or misalignments. Engaging stakeholders in this iterative process ensures that data governance initiatives remain relevant, adaptive, and closely aligned with strategic goals, ultimately driving better decision-making and organizational success.