Case Study: Grupo Bancolombia strengthens anti-money-laundering detection with Presidion

Bancolombia strengthens anti-money-laundering capabilities with Predictive Analytics

Grupo Bancolombia, Colombia’s largest private bank, faced stricter anti-money-laundering reporting rules and a sharp increase in transaction volume after an acquisition exposed weaknesses in its old rule-based detection tools. The bank needed a better way to analyze millions of transactions and identify suspicious activity more quickly and accurately, and worked with Presidion’s referenced solution, IBM SPSS Modeler.

Presidion, through the IBM SPSS Modeler platform, helped Grupo Bancolombia centralize and improve transactional data mining for money-laundering detection. The bank narrowed analysis from 120,000 cases a year to 5,000–6,000, improved suspicious transaction reporting quality from 57% to 97%, increased reports from 400 to 1,200, and cut review staff needs from over 1,000 to 22, freeing nearly 80% of resources for new business.

Grupo Bancolombia

Francisco Ruiz

Head of Compliance