Robust Coding Environment
Use a modern, best-in-class IDE to create, maintain, and run programs and to explore data, results, and logs. Altair Analytics Workbench’s coding environments focus on SAS language and Python programming while enabling users to incorporate the SAS language, SQL, Python, and R code together into a single program, seamlessly exchanging data between the different languages.
Visual Workflow Environment
Build workflows with interactive drag-and-drop blocks to provide the perfect combination of low-level data engineering facilities for retrieving, blending, and preparing data for analysis, along with machine learning features that let you build, explore, and validate reproducible predictive models. Enhance workflows with programmable blocks coded in the languages of SAS, SQL, Python, and R.
Data Access
Access virtually any data source, including cloud services, Hadoop, data warehouses, databases, SAS language, SPSS, Parquet, Microsoft® Excel®, CSV, and other file-based data formats with no limits on data volumes.
Data Preparation
Use an array of tools to clean, filter, and enrich data. From simple tools such as filters and sorting, through to optimized binning and a visual SQL query tool, preparing data for further analysis has never been easier.
Data Exploration
Exploratory data analysis tools allow insights into complex datasets through advanced data grids and data profiling. Explore data using tools such as graphing, profiling, and decision trees to gain valuable information about your data.
Local and Remote Processing
Create, maintain, and run models and programs using the SAS language, SQL, Python, and R on the infrastructure of your choice: cloud, on-premises, and hybrid – whether on mainframes, Linux, Windows, and/or AIX servers, or on workstations and laptops.
