SAS In-Database Processing With Teradata: An Overview of Foundation Technology

Overview

Customer requirements to understand and act on critical business issues such as fraud detection, credit risk, price optimization, warranty analysis, and customer retention demand efficient handling and utilization of Business Intelligence (BI), data integration, and analytic components. The scope of analytic computations and the volume of data and data sources are growing at an unprecedented pace. Enterprises need flexibility to manage the analytical life cycle, from discovery to the execution of large numbers of new and existing analytic models that address functional and industry-specific business issues in a secure, scalable manner. In October 2007, SAS and Teradata Corporation announced a strategic partnership that will enable customers to exploit the best of both companies' core strengths.