Segmentación de clientes y definición de alertas para la prevención de riesgos de lavado de activos y financiación del terrorismo (SARLAFT): un estudio económico aplicado a entidad financiera colombiana en 2017

Abstract

The XXI century governments get the challenge to fortress their internal structure and controls against financial crimes of which they can be object -- The money laundering and the terrorism financing are the most frequently committed financial crimes around the world -- This type of activities is threatening the economic equilibrium in silence way turn and it´s representing a risk while talking about international trade relationships too -- The informatics advances in the field of data mining and statistics created a new complete landscape for those governments that try to get preventing controls and to identify that kind of activities -- These controls are required to those type of private organizations operating in the country in depending of the precise risk to each economic sector they belong -- This research develops an innovative method composed by the combination of techniques of data mining applying and the economics sector analysis looking for a possible answer to the financial sector entities controlling designed by SARLAFT in the Colombian government