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Wednesday, April 30, 2008

SAS database drives business

Leading business intelligence and analytical software and services, SAS is set to drive business through provision of deeper and integrated database engines in its offerings.

The company also said it is planning to directly integrate SAS analytics, data integration capabilities and solutions into leading Relational Database Management Systems (RDBMS).

Company sources said that this initiative would deliver improved accuracy, reduce data movement and more streamlined analytic processes to businesses with enterprise data warehouses, to help speed the delivery of business intelligence throughout all levels of the organization.

Senior Vice President and Chief Technology Officer, SAS, Keith Collins, pointed out that decision makers with faster access to analytical results tends to gain more insights into their businesses and make more agile and accurate decisions that comply with government requirements.

“As databases mature to become data appliances for distributed computations, the time has come to extend the power of SAS analytics and data transformations inside the database engine,” Collins said, stressing that as more customers leverage data and analytics as corporate assets, “they are asking for our help in managing the analytical life cycle from discovery to execution. Blending the best of SAS with the core strengths of databases making businesses more efficient and responsive to changing market environments.”

Collins further cited an instance in the efforts to address compliance issues, saying that banks are responsible for identifying suspicious activity, maintaining financial integrity and reducing operating costs, as well as for detecting and reporting criminal financial activities anywhere in the organization.

The VP emphasised that with the predictive models of SAS integrated within a relational database, banks could identify and address suspect patterns or anomalies quickly, while also speeding up the process of refining detection measures and logic to more accurately report exceptions throughout the enterprise.

In addition, Senior Vice President, Worldwide Software and Services Research at the International Data Corporation (IDC), Mr. Henry Morris, noted that by leveraging the processing power of databases and running analytics where the data resides, SAS is giving businesses another way to be more efficient and effective by helping them balance and fully utilize their technology resources.

“Accelerating the development and execution of analytics within a relational database will give customers a flexible, powerful means for implementing predictive analytics and information analysis in one location,” he said.


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