Schedule and run jobs across multiple servers, platforms, and domains

Manage and monitor status of all job scheduling from a unified interface

Handle exceptions using a process based approach which is repeatable and efficient leveraging auto-diagnostics for routine exceptions

Ensure job dependencies are honored without human intervention or large safety margins in time schedule

Maximize capacity utilization of current computing resources by tightly scheduling jobs and provide dynamic job execution based on defined logic

Schedules jobs intelligently through use of a “Petri Net” workflow-based approach

Models exceptions and actions to perform jobs either automatically or with human intervention if desired

Enables dependency-driven scheduling as well as time-based scheduling

Applies repeatable and clearly understood processes for running jobs

Reduces time to complete workflow through dependency-driven scheduling

Activates auto-diagnostics and prescriptive auto-remediation for anticipated failure modes

Reduce routine workload on staff resources to allow focus on development and optimization rather than day-to-day activities

Improve utilization of computing resources due to reduced downtime between jobs

Integrate unique job scheduling logic easily which provides unlimited flexibility in execution of tasks