Africa’s Next Move and Why Data Sovereignty Is the Missing Key to the Continent’s Economic Future

Ask what Africa needs to secure its economic future, and the answers tend to follow a familiar script: capital, technology and infrastructure. Rarely does ‘data’ make the list. Yet, data sovereignty, the ability to collect, control and act on reliable information about one’s own economy, has become one of the most consequential forms of sovereignty a nation can exercise.

It is the invisible foundation on which every effective policy, efficient tax system and well-designed social programme ultimately rests. Without data and its valuable insights, even the best-funded interventions operate in the dark, and African governments remain dependent on analysis produced elsewhere, by others, for other purposes.

Across the continent, a paradox persists. Governments collect vast amounts of tax administrative data, records of income, transactions, compliance and economic activity. This data, in the right hands and under the right conditions, has the potential to help design potent policies that rightly serve citizens. Yet, most of it sits untouched, locked in administrative silos, neither analyzed nor acted upon. The raw material for better governance already exists; what Africa largely lacks is the infrastructure to unlock its potential.

Proof of concept: the UNU-WIDER model

Since 2015, the United Nations University (UNU), through the UNU World Institute for Development Economics Research (UNU-WIDER), has been building exactly this kind of infrastructure through its secure research data labs in South Africa, Uganda and Zambia. The model is deceptively simple: establish a protected environment where approved researchers can access anonymized tax administrative data without ever removing it from a secure setting. Researchers come in, insights go out and the data stays where it belongs.

The results have been striking. In South Africa, the lab has generated a body of evidence that has directly informed debates on personal income tax design, corporate behaviour and the formal economy’s structure. In Uganda and Zambia, it has enabled analysis of how tax systems interact with economic informality and social vulnerability — questions that matter enormously for social protection policy.

Previously invisible patterns in the data, made visible through responsible access, are changing how governments think about the problems they face.

Across all three countries, the common thread is the same: previously invisible patterns in the data, made visible through responsible access, are changing how governments think about the problems they face.

This is not abstract academic work. Tax data analysis has fed directly into discussions about how to design tax systems, who falls outside the formal safety net, and where administrative capacity needs strengthening. Crucially, this is homegrown evidence, generated by African researchers using African data to answer African questions. When a revenue authority can see the distributional consequences of a proposed tax reform mapped against real administrative records, the conversation changes. Evidence replaces assertion and debate becomes anchored to facts.

Scaling the model across the continent

The labs across three countries do not yet make a continental strategy. The next frontier is scale, creating the data infrastructure that allows many more African governments to turn their administrative records into policy intelligence and regain control over their own data while maintaining the rigorous privacy and security standards that make the model trustworthy in the first place.

Every country that builds this capacity is one less country that must rely on outside institutions to understand its own economy.

Scaling this model is not simply a technical task. It requires building trust between revenue authorities and research institutions, trust that data shared for analysis will be protected, that findings will be used constructively and that governments will retain sovereignty over their own records. It requires legal and regulatory frameworks that enable data access while establishing clear obligations. And it requires sustained investment, both from African governments themselves and from international development partners.

Data sovereignty is not a technical aspiration. It is an economic and political one. 

The good news is that momentum is building. Across the continent, a new generation of economists, statisticians and policymakers understand the opportunity. What is needed now is the institutional architecture to match that ambition: secure labs, skilled researchers and governments willing to treat their administrative data as a national asset rather than a bureaucratic by-product.

Data sovereignty as economic strategy

When development economists speak of sovereignty, they tend to mean political independence or control over natural resources. Rarely do they mean data. The countries that can generate, manage and act on data will make the most of their tax bases, human capital and natural resources.

Africa’s development story has too often been written by others, using data collected by others, to serve purposes not always aligned with African interests. Secure research data labs change that dynamic fundamentally. They put African institutions at the center of African knowledge production and enable governments to learn from their own experience rather than from generic prescriptions imported from elsewhere.

They create the conditions for evidence-based decision-making that is genuinely grounded in local realities. Countries that control their own data are the ones that set their own development agenda, design their own fiscal systems and capture the returns from their own resources.

As artificial intelligence (AI) tools become more capable of detecting patterns, modelling policy scenarios and identifying outliers in large datasets, the value of well-structured administrative data is amplified. As previously argued, AI models in Africa can work with smaller datasets, operate in resource-limited environments and be shaped by local knowledge.

The next chapter of these labs is, naturally, AI. Embedding AI directly into the research environment of data labs will drive even greater efficiency in revenue collection and greater equity in how public resources are distributed, with technology that serves their priorities rather than someone else’s.

Data sovereignty is not a technical aspiration. It is an economic and political one. Secure research data labs are not a luxury for a later stage of development. They are how Africa claims sovereignty over its own economic future and builds the conditions for faster, more equitable growth.

This article was first published by Forbes Africa. Read the original article on the Forbes Africa website.