{"id":3132,"date":"2024-12-04T15:46:50","date_gmt":"2024-12-04T04:46:50","guid":{"rendered":"https:\/\/www.begini.co\/?p=3132"},"modified":"2025-10-21T15:19:34","modified_gmt":"2025-10-21T04:19:34","slug":"from-data-to-decisions-alternative-data-sources-supporting-sme-lending","status":"publish","type":"post","link":"https:\/\/www.begini.co\/es\/from-data-to-decisions-alternative-data-sources-supporting-sme-lending\/","title":{"rendered":"De los datos a las decisiones: Fuentes alternativas de datos en apoyo de los pr\u00e9stamos a las PYME\u00a0"},"content":{"rendered":"\t\t
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From Data to Decisions: \nAlternative Data Sources supporting SME Lending <\/h1>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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Small and medium enterprises (SMEs) and microbusinesses are the backbone of many emerging and developing markets, driving job creation and economic growth. Yet, access to affordable credit remains a significant challenge. Traditional credit scoring models, heavily reliant on financial history and collateral, often exclude these businesses, as they lack formal documentation or credit histories. Alternative data is supporting SME Lending in many markets around the world.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t

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The rise of alternative data credit scoring\u00a0<\/h3>

Alternative data is changing the game. By leveraging non-traditional data sources like behavioural analytics, psychometric assessments, and device metadata, lenders can develop more comprehensive and inclusive risk models. These data-driven approaches are bridging the gap for SMEs and enabling financial institutions to unlock a previously untapped market.<\/span>\u00a0<\/span><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t

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Understanding Alternative Data in Lending\u00a0<\/h2>

What is alternative data credit scoring?\u00a0<\/h3>

Alternative data refers to information not traditionally used by financial institutions to evaluate creditworthiness. It includes behavioural patterns, digital footprints, transaction histories, and more. Unlike traditional methods, which depend on credit scores and bank statements, alternative data explores the borrower\u2019s broader financial and social behaviour.\u00a0<\/p>

Why SMEs and microbusinesses benefit from alternative data\u00a0<\/h3>

SMEs and microbusinesses are the lifeblood of economic growth; however they need investment to thrive, but they often face the same tough due diligence as much larger businesses, leaving them excluded by conventional credit systems. Alternative data provides a means to assess their risk accurately, enabling lenders to extend credit where it was previously deemed too risky.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t

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The Role of Alternative Data in SME Credit Risk Assessment<\/span><\/span>\u00a0<\/span><\/h2>

Key <\/span>m<\/span>etrics from <\/span>a<\/span>lternative <\/span>d<\/span>ata <\/span>s<\/span>ources<\/span><\/span>\u00a0<\/span><\/h3>

Lenders <\/span>anal<\/span>ys<\/span>e<\/span> various metrics to gauge creditworthiness. <\/span>Behavio<\/span>u<\/span>ral<\/span> analytics, such as spending patterns, and psychometric data reveal <\/span>character <\/span>traits like reliability and risk tolerance. Device metadata, such as mobile app usage or location patterns, <\/span>provides<\/span> real-time insights into a borrower\u2019s habits.<\/span><\/span>\u00a0<\/span><\/p>

How <\/span>a<\/span>lternative <\/span>d<\/span>ata <\/span>i<\/span>mproves <\/span>r<\/span>isk <\/span>m<\/span>odels<\/span><\/span>\u00a0<\/span><\/h3>

These non-traditional metrics enhance predictive accuracy, helping lenders <\/span>identify<\/span> creditworthy borrowers more effectively. Case studies show that lenders using alternative data models experience reduced default rates and increased approval rates for previously excluded groups.<\/span> Alternative data credit scores apply to working capital, unsecured term loans, credit cards, asset finance and more.<\/span><\/span>\u00a0<\/span><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t

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Exploring the 4 alternative data sources transforming SME lending<\/h2>

1. Psychometric Assessments\u00a0<\/h3>

Psychometric assessments measure a borrower\u2019s personality traits, such as honesty, risk appetite, and financial discipline. These tests can take different forms. At Begini, we offer a gamified user experience to ensure high completion rates while also maximising data collected to evaluate behaviours linked to creditworthiness.<\/span>\u00a0<\/span><\/p>

Applications in Micro SME Lending:\u00a0<\/p>