SAS Visual Statistics

SAS Visual Statistics is the multi-user analysis system of data allowing to create quickly descriptive and forecast models in an interactive mode.

The distributed data processing in RAM accelerates creation of models and allows to obtain quicker valuable information for decision making.

Technological capabilities of the solution provide high-speed performance of a system even when processing large volumes of data.

Key functions

• Graphic tools of a research and detection of data
  • The solution SAS Visual Analytics allows to reveal the factors influencing forecast accuracy among a set of the traced variables, to find deviations and discrepancies in given using graphic elements.

• Descriptive modeling
  • SAS Visual Statistics allows to study and estimate segments for the further analysis in graphic tools using a clustering by method of k-averages, scattergrams of data and detailed summary statistical information.

• Forecast modeling
  • SAS Visual Statistics allows to create forecast models in the simple graphical interface by means of such methods as a linear regression, logistic regression, generalized linear models and decision trees.

• Open model of development on the basis of the code
  • The solution supports programming access to analytical transactions from SAS Studio, by means of other programming languages (Python, R, Lua, Java) and through REST API for integration of opportunities of SAS Analytics into the available applications.

• Dynamic processing with grouping by sign
  • It is possible to create models and to process results in parallel for each group or a segment, it will not be required to sort or index data every time for this purpose.

• Comparison and assessment of models
  • The solution allows to obtain summary information on comparison of models (charts of forecast accuracy, the chart ROC, statistics of coordination, the table of errors of classification) on one or several models.

• Assessment of models
  • It is possible to export models in the form of the SAS DATA code and to apply them to new data.

• The distributed analytical data processing in RAM
  • SAS Visual Statistics allows to create models on the basis of separate data, including from Hadoop, for smaller time. It is not necessary to change data structure or to save them on a disk.

• Flexible options of deployment
  • A system works at normal equipment, in private and public cloud environments.