JAMS B2B Case Studies & Customer Successes

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JAMS is the only job scheduling system built on a .NET framework. JAMS is the first enterprise job scheduling system that can be leveraged by both IT Operations Personnel and Application Developers. With its roots in Windows, JAMS also supports running processes across a variety of operating systems (UNIX, Linux, System i, OpenVMS, etc.) and applications (SAP, SQL, Oracle, PeopleSoft, Symitar, Ecometry, etc.)

Case Studies

Showing 18 JAMS Customer Success Stories

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Alinta Energy achieves reliable, centralized batch scheduling and up-to-date data with JAMS

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Bruce Power achieves self-service automation and major time savings with JAMS

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Crane Group achieves centralized JD Edwards scheduling and automated order processing with JAMS

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Disciple Data, Inc. achieves streamlined, secure batch automation and reduced administrative overhead with JAMS

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ESCO Advisors achieves days-to-hours client onboarding and streamlined batch automation with JAMS

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Frontline Technologies achieves enterprise-scale secure SQL scheduling and robust disaster recovery with JAMS

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Genera Trust Partnership Relies on JAMS for Success

Marketing Associates, LLC achieves centralized automation and cost savings with JAMS

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Matlock Capital achieves streamlined, enterprise-wide batch job scheduling with JAMS

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Seminole Electric Cooperative, Inc. achieves real-time, event-driven automation with JAMS

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Shar Music achieves automated, error-free Ecometry batch processing with JAMS

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Southwest Power Pool achieves reliable, real-time automation (jobs every 4 seconds) with JAMS

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Stater achieves centralized, cross-platform batch automation and instant alerts with JAMS

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TyMetrix achieves rapid, reliable delivery of real-time legal billing data with JAMS

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Victoria Department of Sustainability & Environment achieves an automated, reliable Water Register with JAMS

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West Corporation achieves centralized, reliable job automation and 75% batch consolidation with JAMS

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Wilson HTM Investment Group achieves reliable, automated overnight batch processing with JAMS

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Zong achieves centralized job scheduling and reduced downtime with JAMS

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