These are some recent technical publications by members of our experienced team. Coding is in the SAS programming language, but the statistical and graphical methods are universal.
How can we use our customer data to predict which existing customers are the most likely to purchase one of our financial products? We can then use this information for effective targeted marketing to increase customer engagement. Based on real data from a credit union.
Presented at the 2017 SAS Global Forum.
How can we use our customer data to predict which customers will close their accounts? We can then use this information for effective targeted marketing to reduce customer attrition. Based on real data from a credit union.
How can we efficiently ensure that we’re always getting the best results from our statistical models?
How can we visualize huge amounts of data effectively enough to find underlying patterns?
How can we effectively analyze rare events such as natural disasters, rare diseases, or component failures?
How can we graph a progression of time series plots to find underlying patterns in two dimensions of time?
When using this common statistical model, how can we be sure that our results are correct?
An introduction to basic but important statistical concepts.