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Case Studies

TF Bank increased lending efficiency in Latvia by 30% with Nordigen

Alternative lender TB Bank has increased its lending efficiency by 30% with Nordigen account data analytics engine. 
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IPF Digital increase approval rate by 15% with Nordigen income verification engine

Nordigen income verification engine helped IPF Digital increase loan applicant approval rate by 15% for their consumer loan product in Latvia.
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Citadele Bank Increases New Loan Volume Using Nordigen Solutions

Citadele Banka identified low-risk clients and gained actionable insights into their clients' spending behaviour, income and loan history.
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TF Bank accurately identifies up to 35% more high-risk loan applicants in Latvia with Nordigen

Nordigen income verification engine has helped TF Bank significantly improve their loan portfolio quality.
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Nordigen helps IPF Digital tackle loan application fraud with greater efficiency

Nordigen income verification engine helps IPF Digital detect rare fraudulent loan application cases with greater speed and accuracy.
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Creditstar achieves a 5.6 percentage point GINI uplift with Nordigen in Spain

Nordigen has helped European lender Creditstar achieve a 5.6 percentage point GINI improvement in Spain. Read more →

 

Wandoo identifies high-risk loan applicants significantly more accurately with Nordigen

Nordigen's transaction categorization engine helped alternative lender Wandoo identify high-risk creditors with considerably higher accuracy.
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Creditstar achieves an 8.4 percentage point GINI uplift with Nordigen in Poland

Nordigen has helped European lender Creditstar achieve an 8.4 percentage point GINI improvement in Poland. Read more →

 

Novum Bank achieves a 14 percentage point GINI uplift with Nordigen 

Nordigen has helped consumer lender Novum Bank achieve a 14 percentage point GINI improvement in Spain. Read more →

 

Bigbank improves bank statement analysis speed 100x with Nordigen


Bigbank improves bank statement analysis speed and decreases falsely identified risk-critical transactions. Read more →