SAS (Statistical Analysis System) is a software suite developed by SAS Institute for advanced analytics, data management, business intelligence, predictive analytics, and data mining. It is used by many organizations to analyze, process, and manage data. It provides a variety of tools and features to help users build, maintain, and execute sophisticated analytics and statistical analyses. SAS is used to create reports, dashboards, and visualizations of data and to generate insights into trends and patterns in the underlying data. It also offers a wide range of statistical and predictive modeling techniques, such as linear models, logistic regression, decision trees, neural networks, and more. With its powerful analytics capabilities, SAS can help organizations make better decisions, improve customer service, and increase efficiency.
Just a real alternative that supports SAS language, no need to rewrite existing applications, user interface is really nice, combines SAS language with Python and R languages, inclusive data connectivity, attractive and flexible pricing.
WPS is really an alternative. No other alternative is capable of running programs written in the SAS language. WPS can combine different programming languages in a single program, so R and Python can be mixed with the SAS language, offering the best of all worlds for data scientists and business users. No other alternative supports a wide range of platforms, including mainframes.
Unlike other alternatives, WPS can run your SAS language programs.
This platform is easy to use. It does not require programming skills.
The same functionality in terms of predictive analytics, but a more agile and responsive user interface compared to SAS.
R (programming language)
Anaconda
WPS Analytics
JasperReports
Pentaho
SpagoBI
jamovi
IBM SPSS Statistics
GridGain In-Memory Data Fabric
MicroStrategy Business Intelligence
Gaio
Number Analytics
datarobot
Displayr
Sisense
Crystal Reports
Q Research Software
AdvancedMiner
Revolution R
I use both, I think R is superior in almost all aspects, except for some automated systems.