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SAS Intelligence Platform: Overview (Second Edition)

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This guide is the point-of-entry document for understanding the basics of the SAS Intelligence Platform. It discusses the benefits of the SAS Intelligence Platform to businesses, describes the architecture of the SAS Intelligence Platform, and provides an overview of each software component in the platform.

The SAS Intelligence Platform is a comprehensive, end-to-end infrastructure for creating, managing, and distributing enterprise intelligence. The platform includes tools and interfaces that enable you to do the following:
  • extract data from a variety of operational data sources on multiple platforms, and build a data warehouse and data marts that integrate the extracted data
  • store large volumes of data efficiently and in a variety of formats
  • give business users at all levels the ability to explore data from the warehouse in a Web browser, perform simple query and reporting functions, and view up-to-date results of complex analyses
  • use high-end analytic techniques to provide capabilities such as predictive and descriptive modeling, forecasting, optimization, simulation, and experimental design
  • centrally control the accuracy and consistency of enterprise data
It would be possible to build an enterprise intelligence infrastructure using applications from different vendors that specialize in specific areas. However, the implementation process would be extremely complex and time consuming. With the SAS Intelligence Platform, you can implement a fully integrated, end-to-end intelligence infrastructure by using software that is delivered, tested, and integrated by SAS. The platform draws from your existing enterprise data, and it is designed to work in even the most complex and heterogeneous information technology environments.

Using the tools provided in the SAS Intelligence Platform, you can create applications that reflect your unique business requirements and domain knowledge. The platform also serves as the foundation for SAS business solutions in areas such as customer intelligence, financial intelligence, and supply chain intelligence, as well as for SAS solutions for vertical markets such as financial services, life sciences, health care, retail, and manufacturing.
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