Data as Collateral: Unlocking Financing for African SMEs
According to African Business, a transformative approach to financing African SMEs is gaining momentum, focused on leveraging data as a form of economic collateral. Mohamed H’Midouche, former banker and executive director of Inter Africa Capital Group, emphasizes that structural mismatches in the traditional collateral system have left many SMEs underfunded, despite available financial resources.
How Data is Redefining SME Financing

Traditional financing has long relied on mortgages, land titles, and other physical assets as collateral, a model inaccessible to many African SMEs. Now, the concept of “data capital” is offering an alternative. By utilizing transactional, relational, behavioral, and institutional data—captured from payment platforms, invoices, tax compliance, and more—lenders can evaluate creditworthiness more effectively and remove the barriers many enterprises face.
This data-centric model aligns with global standards, including Basel III guidelines, enhancing risk pricing and credit assessment. Examples of successful data-driven financing frameworks can be found globally: open banking initiatives in Europe, India’s Account Aggregators system, and smart data applications in the UK.
Why Data-Centric Financing Matters for African Markets

Africa’s SME sector contributes up to 40% of GDP in some regions, yet struggles to access the $330 billion funding gap identified by the International Finance Corporation (IFC). Expanding financing through data as collateral could unlock this trapped potential, boosting employment, innovation, and GDP growth.
Institutional mechanisms such as the African Development Bank’s (AfDB) Partial Risk Guarantees already provide partial solutions. However, these are often limited by cumbersome processes and insufficient scalability. Data enables earlier-stage credit risk assessment, providing lenders with a far richer and more dynamic understanding of SMEs’ business flows, reducing reliance on traditional guarantees.
Future Implications: Risks, Opportunities, and Expert Insight

While promising, the shift toward data as collateral is not without its challenges. Regulatory frameworks across African nations must be harmonized, and cybersecurity investment prioritized to combat rising cyber threats. Industry leaders advocate for a strengthened legal backbone, with Mohamed H’Midouche highlighting the role of institutions like the African Legal Support Facility in finalizing data’s recognition as an economic asset.
Globally, the precedent is clear: well-structured data standards and privacy protection can enable economic transformation. For Africa, adopting these practices could jumpstart SME financing, creating a robust ecosystem for sustainable growth.
The onus now falls on banks, regulators, and policymakers to adapt to this paradigm shift. Data-driven financing represents an unprecedented opportunity to bridge existing gaps while modernizing African financial systems.
What’s Your Take?

Could data-driven credit models redefine Africa’s financial landscape? Share your thoughts on how lenders and policymakers should adapt to capitalize on this opportunity.