Scorecards for rating commercial loans
Customer level profitability analysis
Demographic profiles of customer segments
Telemarketing test design
Multivariate statistical analyses of numerous marketing test results using multivariate statistical methods (CHAID, Logistic Regression, discriminant analysis and factor analysis, etc.)
Customer profiling and scoring
Logistic regression,classification and regression trees for segmentation and profiling
We also build statistical and econometric models, some of which have included the following:
Price elasticity models
Analyzed customer response to promotional rates of high yield savings, and predicted sensitivity to rate changes. Decision Tree Cross-Sell Models for customer segmentation
In-bound telephone call volume forecasting model (for work force planning)
Proportional Hazards Models
Decision Trees, Neural Networks, and Generalized Linear Models to predict risk profiles
We’re also Above all else, in statistical programming, and are often called upon to develop SAS Programming solutions:
Automation and Macros
Our Experience in Econometric Modeling and Forecasting
Forecast changes in the balances of various products
Time series models to predict credit card customer balances
High frequency forecasting models using structural time series methods
Econometric equations for the consumer sector of a macro econometric model of the US economy
International trade forecasting system using inter-related demand functions.
The econometric linkage of national economic models to predict international repercussions of fiscal and monetary policy changes in the U.S and Europe.
Macro econometric models for Europeaneconomies.
Flexible Input-Output Models for forecasting market potential in seventy-six industries.