Best Practices for Managing Hybrid Cloud Data Governance

The acceleration of hybrid-cloud adoption means organizations must refine data governance strategies to address growing complexity and ensure seamless operations across environments. 

A unified approach to monitoring and containerization will play a critical role in enhancing data portability and maintaining consistency across diverse cloud ecosystems. 

Data governance will increasingly rely on emerging technologies to manage and secure data effectively. 

A hybrid organizational approach can effectively balance centralized and decentralized data governance. 

Nick Elsberry, leader of software technology consulting at Xebia, recommends establishing a central data governance team to lead the program. 

"This team should gather requirements from decentralized teams, set policies and guidelines, purchase and provide data management tools, and educate and coach decentralized teams," he says. 

The central team must have a strong mandate and be backed by senior management. 

Elsberry says regular exposure to senior management and a standing bi-monthly data governance board meeting where the central team sets the agenda is also important. 

AI Tools Come Online 

Meanwhile, AI-driven tools are also set to transform data governance capabilities by automating routine processes and enhancing decision-making. 

Related:Enterprise Guide to Hybrid Cloud Adoption and Management

Ari Weil, cloud evangelist for Akamai, says the biggest impact AI tools are having on data governance comes from their ability to automate processes and to dynamically ensure compliance with regulations. 

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