Case Study # 1: CUC of Manitoba
Company:
CUC of Manitoba is the central
body for 57 Credit Unions in the
Province of Manitoba with 177 locations managing over 500,000 members and more than $10 billion in assets. Through CUC, Manitoba credit unions share check clearing, data processing, investments and loans, training and education, marketing and research, government liaison. They also call upon Central’s consulting services in areas such as technology, business development, and agricultural and business lending.
Challenge:
CUC of Manitoba had a scheduling package in place that wasn’t handling the complexity of their processing requirements. They were unable to release jobs via job dependency, file dependency or both consistently and without error. This caused them to have operators manually monitor and release jobs on demand. This wasted many man-hours as well as introduced human error into CUC’s processing cycle.
Solution:
CUC selected Global ECS after searching for a solution that would fit their needs as well as their budget.
"With GECS, we were able to do more things than we anticipated from a single point of control. Not only does the job and file dependency logic work flawlessly, but we can also use GECS agents to release jobs on remote servers. You can customize your views which is handy as we are a 24 hour shop, so our views are broken down by shift," says Gerry Charriere of CUC.
CUC has grown the size and scope of their business process automation since selecting GECS in 2004.
Results:
CUC has taken the burden of their job scheduling and batch processing needs off of their operators and technical group. They have come to depend and rely on GECS to handle the automation of their production environment. Many processes have been automated utilizing the GECS framework allowing CUC to easily set-up and manage complex job streams.
"We have automated as much as we can with GECS which now frees up an operator as the scheduler processes jobs when required and there is no worry that operations will release a job twice," said Charriere. "When a job was released twice with our old solution, the technical group then would have to fix the errors by the jobs being processed twice. In short, it has cut down the operator time and less errors have occurred since its birth in our workplace."