Connection

• TransUnion Africa, MTN and its digital platform business, Chenosis, are collaborating to harness mobile network data, setting a new standard for financial inclusion and responsible lending
• A new alternative scoring solution, powered by Call Data Records (CDR), will help millions of financially excluded South Africans gain access to credit
• By incorporating non-traditional data based on consumer consent, lenders can make more accurate and fair credit decisions, reducing risk while increasing approval rates

TransUnion Africa, in partnership with MTN and Chenosis, has launched CreditVision^® Telco Data Score, a first-of-its-kind credit scoring solution that uses mobile phone call data records to help millions of South Africans with limited or no formal credit history gain access to financial services.

This alternative data scoring model leverages Call Data Records (CDR), which reflect patterns in mobile phone network usage behaviour and correlates it to an individual’s financial behaviour. By using telco data as a proxy for financial reliability, the CreditVision Telco Data Score enables lenders to accurately assess New-to-Credit (NTC) consumers and expand access to safe, affordable credit.

Helping the Financially Excluded

According to TransUnion estimates, over 1.4 million credit-invisible South Africans open new credit accounts each year, contributing to more than four million new accounts over the past three years. Yet traditional scoring models often fail to assess this segment accurately, leaving more than 16 million adults outside the formal credit system.

Approximately 35% of New-to-Credit consumers are under the age of 25, many of whom are new to the workforce and often use credit to buy clothing for work, highlighting the need for innovative tools that support younger, digitally active individuals who may lack a conventional credit footprint. Successfully integrating these and other excluded consumers into the economy could add approximately R173 billion¹ to South Africa's GDP.

“With over 500 million² people across the continent excluded from formal financial systems, the scale of the challenge is undeniable. Traditional data models fail to reflect the realities of African consumers, leaving millions without access to credit and the opportunities it enables. Financial inclusion isn’t just part of our mission, it’s our mandate,” said Lee Naik, CEO of TransUnion Africa. “That’s why we believe the only way forward is to think differently, to lead with bold, African-born solutions. Innovations like CreditVision Telco Data Score, designed for Africa, by Africa, are helping us responsibly harness mobile data at scale. In doing so, we’re not only expanding access to credit, but we’re also unlocking economic potential, accelerating inclusive growth, and reshaping the future of finance across the continent.”

Creating Opportunity with Consent and Compliance

The use of CDR data is subject to explicit consumer consent and is managed in compliance with South Africa’s Protection of Personal Information Act (POPIA). MTN is responsible for consent management and will ensure that Chenosis, MTN’s API marketplace, facilitates the connection between MTN’s data ecosystem and partners like TransUnion in a secure and scalable manner.

“This partnership demonstrates how mobile technology and secure data sharing can support positive change in the financial sector and unlock new opportunities for millions of South Africans,” said Selorm Adadevoh, Group Chief Commercial Officer, MTN Group. “We are committed to ensuring that data is used responsibly, with the customer’s interests at the forefront. This is a model of what responsible innovation can look like.”

Empowering Lenders and Growing the Economy

For lenders, the CreditVision Telco Data Score has demonstrated a 25–35% improvement in predictive performance over previous alternative data models, based on recent pre-launch validations across the retail and banking sectors.

By adopting CreditVision Telco Data Score, lenders can better predict user behaviour and support responsible lending by ensuring that credit users at risk of default are not overexposed and can be effectively supported throughout their credit journey.

Importantly, the product also helps New-to-Credit consumers establish and build their credit footprint over time. According to TransUnion data, low-risk individuals significantly increase their credit exposure within 18 months of becoming credit active, underscoring the long-term benefits of responsible financial inclusion strategies.

“With Chenosis, we enable collaboration between mobile operators and solution providers while maintaining high security and compliance standards,” said Waseem Amra, Head of Products and Platforms, Chenosis. “This partnership highlights how secure data access can support innovation in financial services that can transform lives.”

This partnership between TransUnion Africa, MTN, and Chenosis reflects the growing trend of using diverse data sources to create more accurate and inclusive financial access. Integrating mobile network insights into credit scoring provides a practical and scalable way to reach more individuals, while maintaining high standards of privacy and compliance.

“With this inclusive innovation, TransUnion has taken the lead in creating an impactful solution to one of the continent’s most pressing challenges – finding responsible pathways to greater financial inclusion that will unlock opportunities for individual and national growth. By turning mobile data into meaningful opportunity, we have set the standard in making transformation possible by showing how technology can be used in groundbreaking alternative ways. Together with MTN and Chenosis, we are building a future where every South African, regardless of their financial history, has the chance to be seen, to be trusted, and to thrive,” Naik concluded. “When financial institutions can measure risk more effectively, they can lend more confidently, and more consumers can access opportunity, and that’s a win for everyone.”

_{^{1. Based on TransUnion’s modelling and interpretation of economic market dynamics. 2. Source:}} The Global Findex Database 2021