Se enfrenta a políticas de gobernanza de datos y necesidades de los usuarios contradictorias. ¿Cómo encontrar un término medio?

Para alinhar as políticas de governança de dados com as necessidades dos usuários, é essencial manter um diálogo contínuo e aberto com eles, identificando suas necessidades de acesso a dados, desafios enfrentados e impactos no fluxo de trabalho. Isso inclui mapeamento das funções, avaliação das políticas atuais, ajustes baseados em feedbacks e testes pilotos, além de fornecer treinamento e canais para feedback contínuo. O objetivo é criar políticas flexíveis que evoluam com as mudanças nas necessidades dos usuários, sem comprometer a segurança e a integridade dos dados.

Conduct interviews, surveys, and workshops to understand the specific needs and pain points of users. Form cross-functional teams that include representatives from both data governance and user groups. Design data governance policies that are flexible and can adapt to changing user needs and business requirements. Provide self-service options for users to access and manage data within the boundaries of governance policies.

Treat data governance policies as living documents with a defined lifespan, subject to regular review and renewal. This approach ensures that policies remain relevant and are periodically reassessed in light of new technology, business changes, and regulatory updates. By setting an expectation that policies will be revisited and revised, you create a culture of continuous improvement and adaptability, preventing outdated practices from becoming entrenched.

One of the key insights I gained from resources such as the book The Phoenix Project is that the success of IT initiatives extends beyond the realm of the IT department. Similarly, the effective implementation of AI requires the active involvement and collaboration of various stakeholders across different departments. To ensure that AI delivers optimal results, it is crucial to emphasize the significance of a well-defined data ingestion strategy, which is contingent upon robust data governance practices.

Aligning data governance policies with user needs can be challenging. To address this, open communication is key to integrating user needs into policy requirements. Policies should be flexible enough to allow modifications while ensuring users remain compliant. Over time, as policies mature, adoption improves. Discussing and refining policies with all stakeholders ensures they are mutually agreed upon and effectively implemented. Ultimately data governance is all about bringing process, people and technology together.

Adaptable strategies are required to reconcile conflicting data management policies and user needs: Role-Based Access Control (RBAC): Use RBAC to customize data access permissions based on user roles and responsibilities. This approach ensures that security policies are adhered to while accommodating specific user requirements. Data masking: Use data masking techniques to protect sensitive information while allowing users to access the data they need. This method minimizes risk while preserving the usability of the data. Review policies: Create a policy review schedule that incorporates user and stakeholder input to adapt governance requirements to changing user needs and business objectives.

Nina, a Data Governance lead, was caught between enforcing strict policies and meeting user demands for more flexibility. * Some teams wanted faster access, while others insisted on stringent controls. * Nina gathered key stakeholders and facilitated an open discussion to uncover the root of the concerns. * She proposed a tiered approach—providing quicker access for low-risk data while tightening controls on sensitive information. By tailoring governance levels based on data sensitivity, Nina balanced security with usability, satisfying both sides while maintaining the integrity of the governance framework.