Data Mining - Predictive Analytics

The Challenge

Nowadays, companies fight against data inflation and are unable to extract the key knowledge that drives decision making and high performance business.

Our Data Mining services

FinScore combines industry knowledge (banking, insurance, telco, etc.) with its ability to process huge amounts of data and advanced statistical analysis, predictive modelling in order to generate valuable knowledge and insights.

We have made successful projects in areas such as banking, telco and insurance to provide solutions for domains such as web mining, custormer response modelling, churn management and customer lifetime value modelling. 

We apply advanced statistical methods such Artificial Neural Networks (ANN), Support Vector Machines (SVM), decision trees, logistic regression, clustering, Principal Components Analysis (PCA), association rules, Case Based Reasoning (CBR), etc.

We provide experience with data mining and statistical anaylsis tools such as SAS (Enterprise Miner, Enterprise Guide, Data Integration Studio), SPSS (PASW, Clementine), Insightful Miner, S-PLUS, R and Matlab.