SAS^® Analytics

SAS Analytics provides an integrated environment for predictive and descriptive modeling, data mining, text analytics, forecasting, optimization, simulation, experimental design and more. From predictive analytics to 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.

Components of SAS^® Analytics

• Predictive Analytics and Data Mining – Build descriptive and predictive models and deploy results throughout the enterprise.
• Data Visualization – Enhance analytic effectiveness with dynamic data visualization.
• Forecasting – Analyze and predict future outcomes based on historical patterns.
• Model Management and Monitoring – Streamline the process of creating, managing and deploying analytical models.
• Operations Research – Leverage optimization, project scheduling and simulation techniques to identify the actions that will produce the best results.
• Quality Improvement – Identify, monitor and measure quality processes over time.
• Statistics – Use statistical data analysis to drive fact-based decisions.
• Text Analytics – Maximize the value buried in unstructured data assets.

How SAS^® Is Different

Only SAS offers an integrated suite of analytics software that is unmatched in the industry, delivered to you in a single environment.

• Explore and exploit corporate data for strategic business advantage.
• Analyze huge quantities of data to make discoveries, solve complex problems and deploy results throughout the enterprise.
• Obtain the best results and discover new insights more quickly and easily.
• Move from pockets of analytic excellence to the pervasive use of evidence-based decision making.
• Extend the power of SAS to meet your evolving analytical needs.