SAS Predictive Analytics

SAS Predictive Analytics : SAS is the leader in business analytics software and services, and the largest independent vendor in the business intelligence market. Through innovative solutions, SAS helps customers at more than 70,000 sites improve performance and deliver value by making better decisions faster.

Since 1976 SAS has been helping customers around the world. SAS was developed at North Carolina State University from 1966 until 1976, when SAS Institute was incorporated. SAS was further developed in the 1980s and 1990s with the addition of new statistical procedures, additional components and the introduction of JMP.

SAS is headquarted in Cary, North Carolina, with offices through out the world. SAS advanced analytics softwares are infused with cutting-edge, innovative algorithms that can help to solve even the most intractable problems, make the best decisions possible and unearth opportunities which would have otherwise missed.

SAS Predictive Analytics Software portfolio includes, SAS Visual Analytics, SAS Enterprise Miner, SAS Model Manager, SAS High-Performance Data Mining, SAS Scoring Accelerator, SAS Decision Management.

1.SAS Visual Analytics

SAS Visual Analytics, visually explore all data, discover new patterns and publish reports to the web and mobile devices. SAS Visual Analytics provides a complete platform for analytics visualization, enabling to identify patterns and relationships in data that weren’t initially evident. Inter active, self-service BI and reporting capabilities are combined with out-of-the-box advanced analytics which enable to discover insights from any size and type of data, including text.

2.SAS Enterprise Miner

SAS Enterprise Miner streamline the data mining process to create highly accurate predictive and descriptive models based on large volumes of data.It offers state-of-the-art predictive analytics and data mining capabilities that enable organizations to analyze complex data, find useful insights and act confidently to make fact-based decisions.SAS Enterprise Miner is used to detect fraud, minimize risk, anticipate resource demands, reduce asset down time, increase response rates for marketing campaigns and curb customer attrition.

3.SAS Model Manager

SAS Model Manager, create, validate, manage, deploy, monitor and operationalize the analytical models. SAS Model Manager provides a web-based environment and framework to support full lifecycle management and governance of models. Easily manage modeling processes so you can quickly put “best” models into production. Performance monitoring and alerting automate the model updating process to avoid model degradation and ensure that models are always performing at their highest levels.

4.SAS High-Performance Data Mining

SAS High-Performance Data Mining quickly analyze big data to derive more accurate insights and make timely business decisions. With high-performance analytics products from SAS, you can develop and process models that use huge amounts of diverse data. These products – for statistics, data mining, text mining, econometrics and optimization – are available in a highly scalable, distributed in-memory processing architecture.

SAS High-Performance Data Mining

5.SAS Scoring Accelerator

SAS Scoring Accelerator automate data scoring processes within the database to improve model performance and get faster results. SAS Scoring Accelerator enables customers to translate scoring models created in SAS Enterprise Miner or SAS/STAT into database-specific functions to be deployed and then executed directly within the database environment.

SAS Visual Analytics

6.SAS Decision Management

Decision Management control and automate decisions to streamline operations. SAS Decision Manager takes data, business rules and analytical models and turns them into consistent, automated actions that drive faster, better operational deci sions. And it does so from a centrally managed, easy-to-use interface.

SAS Decision Management