From Data Deserts to Digital Commons: How Inclusive Data Ecosystems Can Drive Financial Inclusion in Africa

Inclusive data ecosystems require infrastructure, governance and cultural shifts. They connect citizen data, business records and public information to enable innovative services while safeguarding rights.

In a remote village in northern Ghana, farmers gather under a tree for a meeting. They are registering with a new agricultural extension platform that will provide them with weather updates, market prices and access to credit. To sign up, each farmer must provide a phone number, a community ID and details about their crops. The platform’s field agent takes a photo of each farmer’s ID, which is stored on a tablet. When this data is combined with satellite imagery, rainfall records and regional market information, the platform can offer tailored advice and financial products. For the farmers, this is their first foray into the digital world; they trust the field agent because he is a neighbour. Behind the scenes, though, questions arise: Who owns this data? How will it be shared? Can it be used to disadvantage or empower them?

An inclusive data ecosystem is a system of people, processes, technologies and institutions that enables data to be collected, shared and used to create value for all stakeholders, especially marginalised groups. It goes beyond a single database or platform; it encompasses the entire data life cycle, from generation and storage to processing, sharing, analysis and deletion. In the context of finance, inclusive data ecosystems allow low‑income individuals and small businesses to build digital histories, enabling them to access credit, insurance and other services. Without such ecosystems, many Africans remain invisible to formal institutions.

The CGAP working paper on open finance describes inclusive data ecosystems as relying on digital public infrastructure such as digital IDs, digitised government payments and citizen data. These foundational systems ensure that unique identifiers exist and that data can be linked across platforms. Inclusive ecosystems are characterised by products and providers tailored to low‑income users, common data trails, accessible user interfaces and flexible identity verification methods for contexts with limited centralised IDs. Open finance is a mechanism to operationalise these ecosystems by establishing consumer‑consented data sharing across providers.

The first building block of an inclusive data ecosystem is physical and digital infrastructure. Digital identification is paramount: robust ID systems enable individuals to prove their identity across services. Countries such as Kenya (Huduma Namba), Nigeria (National Identity Number) and Ghana (Ghana Card) have invested in digital IDs. However, coverage is uneven, and people in remote areas may lack access or face registration barriers. To accommodate these realities, systems must recognise alternative IDs (community, church or cooperative IDs) or phone‑based KYC.

Interoperable payment systems allow data to flow across providers. Regional payment systems like the Pan‑African Payment and Settlement System (PAPSS) aim to facilitate cross‑border payments within the African Continental Free Trade Area (AfCFTA). Domestic switches like PesaLink in Kenya and GHLink in Ghana connect banks and mobile money operators. Strong connectivity and affordable internet are also essential. Although mobile network coverage has expanded, rural areas still suffer from poor connectivity, limiting real‑time data sharing.

Data storage and processing infrastructure must ensure security and reliability. Many fintechs use cloud services located outside Africa due to cost and reliability. This raises concerns about data sovereignty and compliance with data localisation laws. Investments in regional data centres, such as the Raxio data centre in Uganda and Ethiopia, are beginning to address this gap. Energy stability remains a challenge, as frequent power cuts can disrupt data services.

Building trust in data ecosystems requires clear governance frameworks. Data ownership is fundamental: individuals must know which data are collected, who holds them and how they are used. Laws should define whether individuals can sell or monetise their data. Consent mechanisms should be clear, accessible and revocable. In contexts with low literacy, voice‑based and image‑based consent can complement text. Regulators should specify standards for consent dashboards and logs. Data quality and interoperability standards ensure that data are accurate, up‑to‑date and usable across systems. Without common formats, merging data from different sources becomes arduous and error‑prone.

Data protection laws must be enforced. As discussed in the article on responsible AI, African countries are adopting data protection acts, but enforcement remains weak. Data protection authorities must have the mandate and resources to audit practices, levy fines and mandate remediation. They should also collaborate across borders to handle cross‑border data flows. Cybersecurity frameworks and incident reporting requirements protect against breaches and ensure timely response.

Inclusivity should be embedded in governance. This means involving marginalised groups in policy design and implementation. Women, persons with disabilities, rural communities and informal workers should have seats at the table. Policies should address structural barriers, such as lack of documentation or social norms that limit women’s ownership of mobile phones. Additionally, grievance mechanisms must exist for individuals to report misuse, seek redress and have data corrected or deleted. Community‑based organisations and civil society groups can raise awareness and support individuals as they navigate data systems.

Even with infrastructure and governance, inclusive data ecosystems require a cultural shift. In many African societies, data are seen as the property of the collector, whether the government, a company or an NGO. Communities may be sceptical of sharing data due to historical misuse or exploitation. Building a culture of data sharing that emphasises community benefits and individual rights will take time. Storytelling and education can play a role: highlighting how data have enabled farmers to secure loans, health workers to track diseases or entrepreneurs to find markets can build trust. At the same time, cautionary tales of data breaches and privacy violations must be acknowledged to avoid blind trust.

Open finance is an application layer on top of inclusive data ecosystems. When individuals can share their transaction histories, biometric IDs and other data with financial service providers, new products become possible. For example, Paystack, a Nigerian payment gateway, could integrate tax payment data to offer small merchants instant VAT financing. Flutterwave could combine ride‑hailing transaction data to provide credit lines to drivers. COMESA’s digital identity project could enable cross‑border e‑KYC for regional trade. These services rely on foundational data ecosystems and consent frameworks.

Digital public goods, such as open‑source software for data exchange or freely available climate data, can accelerate ecosystem development. Projects like the Modular Open Source Identity Platform (MOSIP) offer governments low‑cost, customisable ID systems. The Open Payments Platform (OPP), developed by the Mojaloop Foundation, provides open‑source software for interoperable payments. By adopting and contributing to digital public goods, African nations can reduce dependence on proprietary systems and tailor solutions to local needs.

Real‑world examples

1. India’s digital stack. India has built an inclusive digital ecosystem comprising Aadhaar (digital ID), UPI (real‑time payments), DigiLocker (digital document storage), and Account Aggregators for data sharing. This stack has enabled innovations such as instant bank transfers, online KYC, and paperless lending. African policymakers are studying India’s model and considering adaptations. However, they must address differences in governance capacity, market structure and cultural attitudes towards data.
2. Estonia’s e‑Residency and X‑Road. Estonia’s X‑Road platform connects government databases, enabling services like e‑voting, e‑tax and e‑health. Citizens control their data and can see who accesses it. This transparent data exchange fosters trust. While Estonia’s context is very different from Africa’s, its emphasis on user control and interoperability is relevant.
3. Rwanda’s Irembo platform. Rwanda’s e‑government platform provides access to over 100 services, from birth registration to land title transfer. The platform has improved service delivery and generated digital records that could feed into open finance in the future. Rwanda’s National AI Policy further emphasises data governance and fairness.

Inclusive data ecosystems face several obstacles:

• Resource constraints. Building digital IDs, data centres, and broadband networks is expensive. Many African governments rely on donor funding or public‑private partnerships. Long‑term sustainability and affordability must be considered.
• Data fragmentation. Data are scattered across ministries, private companies and international organisations. Integrating them requires mapping exercises, data cleaning and the development of shared dictionaries.
• Political considerations. Data are power. Government agencies may be reluctant to share data due to turf battles or fear of losing revenue. Private companies may resist open APIs for competitive reasons. Overcoming these barriers requires strong political leadership and incentives.
• Privacy and surveillance concerns. Without strong safeguards, inclusive data ecosystems could enable mass surveillance and repression. Authoritarian regimes or unscrupulous actors could misuse data to target dissidents or marginalised communities. Robust oversight and civil society involvement are critical.
• Digital divides. Gender gaps in mobile phone ownership and internet access persist. Even if data ecosystems exist, women and low‑income households may be excluded. Policies must address affordability, digital literacy and sociocultural barriers.

To build inclusive data ecosystems, stakeholders should consider:

• Holistic planning. Governments should develop national data strategies that align infrastructure investments, legal frameworks and capacity building. These strategies should articulate principles of inclusion, privacy and interoperability.
• Multi‑stakeholder governance. Data councils or boards that include government, the private sector, civil society, and academia can guide ecosystem development, mediate conflicts, and ensure accountability.
• Capacity building. Regulators and service providers need training in data management, cybersecurity and privacy law. Universities and training institutes can develop curricula. Donor funding can support technical assistance.
• Pilot projects. Regulatory sandboxes (discussed later) can test inclusive data sharing for specific use cases, such as rural credit scoring or micro‑insurance. Lessons from pilots can inform national policy.
• Public awareness. Educational campaigns should demystify data and emphasise rights. Community radio, drama and storytelling can convey complex concepts in accessible ways.

Without inclusive data ecosystems, the promise of open finance and AI for financial inclusion will remain unfulfilled. Data are the fuel for modern economies; how they are collected, shared and governed will shape access to services, economic resilience and social equity. Inclusive data ecosystems can help low‑income farmers build credit histories, enable health workers to target interventions, allow small businesses to connect with global markets and empower citizens to participate in governance. Conversely, exclusion from data ecosystems will exacerbate inequality and hamper development.

Building inclusive data ecosystems is a complex but essential endeavour. It requires collaboration across ministries, regulators, companies and communities. Infrastructure must be built, laws enforced, cultures shifted, and trust earned. African nations have an opportunity to leapfrog legacy systems and design data ecosystems that are inclusive, accountable and adaptive. By learning from global examples and tailoring solutions to local needs, they can lay the foundation for open finance and inclusive digital economies.