SAS Analytics
Predictive analytics delivering greater insight
SAS Analytics provides an integrated environment for predictive analytics and descriptive modeling, data mining, text mining, forecasting, optimization, simulation, experimental design and more. Our analytic solutions provide 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 for guided decision making.
Components of SAS Analytics
- Data and Text 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 Deployment – Streamline the process of creating, managing and deploying analytical models.
- Optimization – Apply operations research, scheduling and simulation techniques to achieve the best results.
- Quality Improvement – Identify, monitor and measure quality processes over time.
- Statistics – Use statistical data analysis to drive fact-based decisions
How SAS Is Different
Only SAS offers an integrated suite of predictive 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.
- Extend the power of SAS to meet your evolving analytical needs.