SAS Analytics provides an integrated environment for predictive and descriptive modeling, data mining, text analytics, forecasting, optimization, simulation, experimental design and more. From dynamic visualization to predictive modeling, model deployment and process optimization, SAS provides a range of techniques and processes for the collection, classification, analysis and interpretation of data to reveal patterns, anomalies, key variables and relationships, leading ultimately to new insights and better answers faster.
Get advanced statistical analysis, reporting and high-impact visuals – all from one vendor, all in one package. This comprehensive offering includes three of their most popular products: Base SAS, SAS/STAT and SAS/GRAPH.
SAS software integrates into virtually any computing environment, so you can unify your computing efforts and get a single view of your data. Analysts are freed to focus on analysis rather than data issues. Then, produce repeatable code that's easily documented and verified for compliance. Why piece together niche software packages from different vendors? A consolidated vendor portfolio reduces the costs of licensing, maintenance, training and support, and ensures that consistent information is available across the enterprise.
Cloudswave Score for SAS Analytics Pro
Rating based on 8 Critic Reviews
Remy Welch, on TrustRadius
SAS Analytics Use Cases and Deployment ScopeMy organization uses SAS Analytics for advanced analytics. It is used in various departments, including human capital and information management. It is used for predictive modeling, data manipulation, clustering and optimization.
Pros : SAS Analytics is excellent for modeling. You can use a variety of modeling techniques and SAS Analytics produces robust reports on the model you are creating.SAS Analytics is excellent for data exploration. It has good etl capabilities, and once you have the data loaded you can preform a lot of statistics and other explorative measures.
Cons : SAS Analytics does not have very good graphic capabilities. Their advanced graphics packages are expensive, and still not very appealing or intuitive to customize.SAS Analytics is not as up-to-date when it comes to advanced analytical techniques as R or other open-source analytics packages.
Justin Heinze, on BI Software Insight
The SAS Visual Analytics is an in-memory data visualization tool that works well with both big and small data, providing robust query and reporting features, alerts, and predictive analytics.
Tricia Aanderud, on And Data
One manager (who asked to remain anonymous) said his team was now fielding more requests to get data into SAS Visual Analytics than running down the questions. The tool makes it so easy to interact with the data and the managers are really exploring the data and asking for more. The organization is moving down the BI Maturity path.
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