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Novabase Achieves 75% Time Savings for More Efficient Customer Support with Operations Orchestration


The following is a guest post by Kim Miller, Data Center Automation Product Marketing Manager 

Looking for a way to streamline its IT Operations environment to work more efficiently, the Portuguese technology services provider Novabase now uses HPE Operations Orchestration to achieve 75% time savings on repetitive tasks, enabling them to support more customers with zero staff increase. 

Novabase2.JPG“The challenges to solve were: we were dealing with a lot of repetitive tasks, and we were using highly skilled professionals to do it,” says Nuno Pereira, Service Architecture Manager at Novabase. “And we needed to find a way to streamline this process. That’s why we looked into solutions for this.”

The repetitive tasks Novabase was dealing with included job scheduling, monitoring remediation and trouble-shooting activities. As part of their solution selection process, the company evaluated three leading vendors. 

One of those vendors was HPE. HPE’s Operations Orchestration solution “was the top scorer, both technically and commercially,” says Pereira.  “An additional advantage [with HPE] was the local support that…we didn’t find on the other suppliers.”

And after Novabase implemented Operations Orchestration?

“The main benefit we achieved was a time saving about 75% on the repetitive tasks from our operations team so we didn’t need to increase headcount to support more customers,” Pereira notes. “From here, we have a strategy to embrace automation and bring them to other areas of our organization.” 

HPE Operations Orchestration is IT process automation and run book software that improves service quality and customer satisfaction, and lowers costs by eliminating latency between silos, increasing first time right rate, enforcing standards, and delivering reports for ROI, audits and more. Learn more about Novabase in this video.

More info:

  • See HPE Operations Orchestration in action with a free trial
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Jan 30-31, 2018
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