Managed, shared environment
Delivers enterprise-class dynamic workload balancing for multiple users and applications.
A managed, shared grid computing environment with workload balancing, high availability and faster processing.
High availability, grid-enabled SAS
Includes several high-availability capabilities for all critical services, and provides maximum processing efficiency with minimum user intervention.
Real-time monitoring and administration
Real-time monitoring and administration. Includes an interface for configuring and managing high-availability services.
Flexible infrastructure
Allows you to add computing resources as needed to meet changing demands.
Meet peak computing demands reliably and cost-effectively.
Balance your workload.
As your organization's use of business analytics grows, so does the need for a flexible IT infrastructure that can scale to increasingly diverse workloads. Easily reassign computing resources to meet peak demand. A central point of control lets you queue and prioritize jobs across multiple users and applications. High-priority jobs run immediately and computing resources are fully utilized.
Be ready for anything.
Having multiple servers in a grid environment means that if a server fails, its jobs transition seamlessly to another server. With a highly available, shared grid environment, you're always on and always connected. You can perform maintenance on specific servers without interrupting jobs. And add computing resources without disrupting the business.
Divide and conquer.
Now you can get faster results and scale cost-effectively. Divide individual jobs into subtasks that are run in parallel on the best available hardware. Programs with large data sets and long run times, and those with replicate runs of independent tasks running against large data sets, are best-suited for multiprocessing. Make the most of all your available computing resources now, then add single-processing units as needed to keep IT spending in check.
Explore More on SAS® Grid Manager & Beyond
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Customer Story
Avoiding gridlock in credit risk scoring and forecastingWith SAS and IBM, Bank of America cuts loan-default calculation time from 96 hours to just four and reduces its scoring routine of 400,000 loans from three hours to 10 minutes.
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Customer Story
Achieving academic and operational excellence through business intelligenceCurtin University uses SAS Visual Analytics to provide reporting across the organization.
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Customer Story
Avoiding gridlock in credit risk scoring and forecastingWith SAS and IBM, Bank of America cuts loan-default calculation time from 96 hours to just four and reduces its scoring routine of 400,000 loans from three hours to 10 minutes.
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Customer Story
Driving customer loyalty with faster analyticsSAS Grid Manager helps Catalina Marketing future-proof its organization with a fast, flexible and scalable analytics environment.
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Customer Story
Achieving academic and operational excellence through business intelligenceCurtin University uses SAS Visual Analytics to provide reporting across the organization.
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Customer Story
Making better public health care decisionsWith high-performance analytics from SAS, public administrators at CSI-Piemonte get a better view of health care expenditures and uncover irregularities in treatment and medications.
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Webinar Machine learning, prediction and optimization techniques - Telco Webinar Series
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Webinar What is the value of contextual customer engagement in telecommunications? - Telco Webinar Series
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Webinar Using Machine Learning on raw transactional data to find customers’ moments of truth in Telco
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Webinar Why the analytics economy demands an enterprise-wide approach in Telco
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Webinar Advancing Telecommunications with Artificial Intelligence
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