SAS Statistical Software

SAS (Statistical Analysis System) is a fourth generation procedural language that permits the programmer to accomplish the following:

SAS Statistics Analysis – Use statistical data analysis.

SAS Data Mining – With SAS Data Mining, You Can Build descriptive and predictive statistical models.

Data mining is the process of discovering previously unknown, actionable and profitable information from large consolidated databases and using it to support tactical and strategic business decisions.

The statistical techniques of data mining are familiar. They include linear and logistic regression, multivariate analysis, principal components analysis, decision trees and neural networks. Traditional approaches to statistical inference fail with large databases, however, because with thousands or millions of cases and hundreds or thousands of variables there will be a high level of redundancy among the variables, there will be spurious relationships, and even the weakest relationships will be highly significant by any statistical test. The objective is to build a model with significant predictive power. It is not enough just to find which relationships are statistically significant.

SAS Modeling Management & Deployment – Streamline the process of creating, managing and deploying analytical models.

SAS Forecasting – Analyze and predict outcomes based on statistical historical patterns.

SAS Econometrics – Apply statistical methods to economic data, problems and trends.

SAS Quality Improvement – Identify, monitor and measure quality processes over time.

SAS Operations Research – Apply techniques such as optimization, scheduling, and simulation to achieve the best result.

Please email us at robertstein@gmail.com to discuss your SAS data mining, training and other online consulting needs.