We provide end-to-end support ranging from data policy and governance frameworks to data inventories, cleansing, cross-link discovery, implementation of unique identifiers, and harmonisation of data-exchange requirements.
Our team has supported governments in Europe and the Caribbean in improving data quality, strengthening interoperability, and establishing the foundational prerequisites for future AI-enabled services. We address practical data challenges — duplicate registries, missing linkages, inconsistent records — and develop the rules, processes, and tooling needed to transform data into a reliable foundation for public services, policymaking, and digital innovation.
We design and formalise the governance foundations that give data management legal, organisational, and operational authority. This includes defining governance models, roles, and decision-making structures, and establishing the core policy framework covering data ownership, classification, sharing, and reuse. The result is a clear mandate for how data is governed, aligned with legislation and national or organisational objectives.
We structure data governance around real data domains and datasets, not abstract principles. For each domain, we define ownership, stewardship, and responsibilities across the full data lifecycle — from creation and use to retention and deletion. This ensures accountability is explicit, traceable, and enforceable for all critical data assets.
We establish governance mechanisms that make data trustworthy and usable. This includes defining data quality criteria, metadata standards, and interoperability rules that support reliable data exchange and reuse. Governance is applied at both business and technical levels, ensuring consistency across systems, institutions, and interfaces.
We integrate data governance with information security and risk management practices. Data is classified, access is controlled, and sharing is governed based on risk, purpose, and legal constraints. This approach aligns data governance with ISO 27001, E-ITS, and audit requirements, enabling compliance without undermining operational use.
We ensure that data governance functions in practice, not just on paper. This includes defining governance bodies, decision processes, monitoring mechanisms, and change management procedures. We support ongoing oversight, training, and continuous improvement so governance adapts to new systems, regulations, and organisational change.
