Case Studies: How Terma Transforms Businesses
Working with complex, multi-vendor workload systems can be a huge pain that creates an inefficient and costly drain on resources. Significant business disruptions, delayed service levels, and plummeting customer satisfaction are just a few of the negative results that can arise from workload issues.
Terma’s Adaptive Intelligence and Predict Analytics can effectively analyze data from multiple workload schedulers and vendors to ensure processes run efficiently — as well as also identify problems before they occur. What does this mean for your business? Risk mitigation, cost savings, time efficiencies, and other positive outcomes for you to enjoy.
But don’t take our word for it. Read on to learn from real client case studies, and consider how Terma could transform your own business.
Success Stories Span Industries and Companies with Terma
Capital Group manages $3 trillion in assets with complex and intricate workload processes, completing 30,000 jobs daily and running up to 20 major applications each night. With such high stakes of potentially losing millions per minute of lost productivity, Capital Group turned to Terma Labs for help.
When Morgan Stanley sought a solution to their unwieldy workload automation environment, they knew they wanted a vendor who could tie together all of their schedulers and applications under one umbrella, providing visibility and clarity into their workload processes. Read on to learn about Terma’s solution for Morgan Stanley.
State Street Bank sought an SLA management tool which would be able to provide a single view across IWSz and AutoSys and pinpoint the state of the environment during a shutdown, and found what they needed with Terma Software’s intelligent workload analytics platform.
Terma solutions are used by hundreds of customers worldwide, each with their own unique scheduling environments and workload systems. Terma’s technology solutions currently address IBM’s Workload Scheduler (IWS), CA 7, CA AutoSys, and Tidal Workload Automation. Additionally, our platform can support any scheduler through our Universal API. We can also integrate through open source, in-house developers, or third party schedulers using our API.
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