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An online shopping network saved more than 200 labor hours a day, seven days a week, of mostly developer and senior-level system administrator time - saving $1.8 million in the first year alone on an investment of around $1 million. A major telecommunications company improved staff productivity and could then handle increased capacity and service-level requirements - saving more than$5 million in Full-Time Equivalent (FTE) costs over three years. Both companies realized these productivity improvements by implementing service optimization. Like these companies, many mainframe organizations are being asked to handle greater workloads, bigger databases, more applications, more system resources, and new IT initiatives with current (or even reduced) staff.
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