FusionOps Prepares to Extend its Supply Chain Footprint
July 23, 2012
FusionOps, a provider of self-service and pre-built analytics for the supply chain announced today that Gary Meyers has been brought in to lead the company as it prepares for its next stage of growth.
FusionOps also announced new high-profile clients for its cloud-based SaaS offering, including business users and analysts at Tesla Motors, KLA-Tencor, Kimball Electronics Group, and Albéa Group.
In a pre-release interview with SCMR, Meyers demonstrated the FusionOps interface, while explaining how the “dashboard” is designed to add velocity to business intelligence.
“We are trying to take advantage of the SaaS model to focus on rapid delivery of ready to use intelligence applications,” he said. “Ideally, we can provide real-time analytics, and end-user ease of implementation across the supply chain.”
Meyers also noted that his company is building its client base across industry verticals, including automotive, pharma, and retail.
FusionOps noted that it represents a trend spotted by Gartner, Inc. recently.
“Gartner analyst, Jamie Popkin, views business users as direct consumers of IT tools and in messaging,” said Meyers. “This places the emphasis on the ability to get work done without the complexity of IT.”
Gwenda Waldron, project managers for Kimball Electronics, said in a testimonial that FusionOps was a good fit for them:
“We were able to implement the dashboard with less than one hour of Kimball IT assistance,” she said. “Users are able to drill down to the details and even pass notes along to other users about the metrics. We are able to customize the content and output in order to ensure high usage by multiple levels of users.”
Meyers added that “social networking” was a key component of information sharing contained within the offering.
“This represents the sharing of transactional information that can be put to use right away,” he added.
Although pricing information was not outlined in any detail, Meyers said users can obtain the service for “scalable” applications ranging from basic self-service to support for more complex analytics.
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