SAS Track



SAS® Viya

Conquer your analytics challenges, from experimental to mission-critical. SAS® Viya complements SAS® 9.4, augmenting the SAS Platform to enable everyone – data scientists, business analysts, developers and executives alike – to collaborate and achieve innovative results faster.

SAS® Visual Data Mining and Machine Learning

Interactive and programming interfaces. Innovative algorithms. Fast, in-memory processing. SAS Visual Data Mining and Machine Learning shatters barriers related to data volume and variety, limited analytical depth and computational bottlenecks. That means greater productivity – and faster, deeper insight.


SAS® Visual Analytics

Interactive reporting. Visual data discovery. Self-service analytics. Scalability and governance. All from a single, powerful in-memory environment.


SAS® Optimization

Evaluate a large number of alternative scenarios to determine the best courses of action using a powerful array of optimization modeling capabilities and solution techniques.


SAS® Visual Data Mining and Machine Learning

  • A flexible, web-based programming environment. Interactive, web-based visual and programming interfaces let you perform the most common machine-learning steps – from data prep to model building, assessment and scoring.
  • Highly scalable, in-memory analytical processing. Optimized for multipass analytical computations, the analytics processing engine provides a secure, multiuser environment for concurrent access to data in memory. Built-in fault tolerance and memory management ensure that processes always finish.
  • Powerful data manipulation and management. The same distributed, in-memory environment is used for preparing data for analytics – accessing data, joining tables, subsetting and filtering data, and creating the final table for machine-learning projects.
  • Data exploration, feature engineering and dimension reduction. Descriptive statistics and powerful graphical programming let you find and fix data issues, quickly identify potential predictors, reduce large data set dimensions and easily create new features from original data.
  • Open platform. Call SAS algorithms using a variety of programming languages – such as Python, R, Java or Lua – without having to code in SAS. Or add SAS Analytics to your custom applications using public REST APIs.
  • Modern statistical, data mining and machine-learning techniques. The solution includes powerful unsupervised- and supervised-learning algorithms, such as clustering, principal component analysis, linear and nonlinear regression, logistic regression, decision trees, random forests, gradient boosting, neural networks, factorization machines (including tensor factorization) and support vector machines.
  • Automated model tuning. Automated, intelligent hyperparameter tuning lets you discover optimal model configurations. You can use 18 different model assessment metrics as your tuning objective, and evaluate using either a validation partition or the built-in cross-validation mechanism.
  • Integrated text analytics. Integrated text analytics capabilities include powerful text preprocessing, natural language processing, topic detection and more.
  • Model assessment and scoring. Test different modelling approaches in a single run and compare results of multiple supervised-learning algorithms with standardized tests to quickly identify champion models.

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SAS® Visual Analytics

  • A single application for reporting, data exploration and analytics. Explore data through interactive visualization and easy-to-use analytics. Design and distribute reports and dashboards.
  • Innovative visualizations. Present data and results in the most compelling way with advanced data visualization techniques and guided analysis through autocharting.
  • Autocharting. Start explorations from the most ideal point and automatically pick the best graph for your data.
  • Self-service analytics for everyone. Automated forecasting, goal seeking, scenario analysis, decision trees and more are right at your fingertips.
  • Text analysis. Gain insight into hot topics in social media and other text data, and know whether sentiment is positive or negative.
  • Interactive reporting and dashboards. A single user interface lets you go directly from reporting and exploration, to analysis, to sharing information through different channels, including Microsoft Office applications.
  • Location analytics. Combine traditional data sources (transactional, customer, operational, etc.) with location data for analysis in a geographical context.
  • Mobile BI. Use native mobile apps for iOS, Windows 10 and Android to view and interact with others through dynamic reports and dashboards on tablets and smartphones.
  • Flexible deployment options. Runs on commodity hardware, or in a private or public cloud infrastructure.

SAS® Optimization

  • Algebraic, symbolic optimization modeling. Enables you to build optimization models with clarity and precision using a powerful, intuitive algebraic optimization modeling language with specialized syntax and constructs.
  • A single language for linear, mixed integer, nonlinear and quadratic programming. Lets you build and solve a wide range of optimization models using only one set of statements and commands.
  • Powerful optimization solvers and presolvers. Provides a suite of problem solvers that is streamlined for simplicity and tuned for performance. Aggressive presolvers reduce effective problem size.
  • Network flow optimization. Provides network solver algorithms for investigating the characteristics of networks to find the best answers to network-oriented issues.
  • Multistart algorithm. Selects multiple starting points and begins optimization in parallel from each; then reports the best solution from all starting points.
  • Open, cloud-enabled, in-memory platform. Distribute analysis and data tasks across multiple computing nodes, and enable fast, concurrent, multiuser access to data in memory with our open, scalable, distributed in-memory processing platform.