reduction in data retrieval time
With a joint Cohesity and HPE solution, TEC Eurolab maximized business efficiency using a single, web-scale data management platform for both file shares and target storage for backups. We have reduced staff operational time by 30 percent and significantly improved data resiliency with Cohesity. Best of all, we have doubled our production capacity and have met customer SLAs without compromising on security and compliance, which contributed in part to an increase in Tomographic Center revenues. We are now looking to further maximize these benefits across the organization by expanding Cohesity to other use cases such as integrated backup, recovery and analytics.
Founded in 1990, TEC Eurolab is based in Modena, Italy. TEC Eurolab conducts additive manufacturing and materials testing in its Tomographic Center, using state-of-the-art Computed Tomography (CT) technology to virtualize 3D images of tested components for a variety of industries.
The Tomographic Center has annual data growth of 50 percent and they were facing significant challenges with managing this data. With industrial tomography scanners, the team deals with enormously large, high-resolution 3D images and the existing environment was unable to reliably and efficiently process the increasing data volumes.
With a new Cohesity-HPE data management solution, data from three different workstations is written to a Cohesity cluster on HPE servers, which is used as a central file share and repository for acquisition, 3D reconstruction, and data analysis.
With data centralized on Cohesity, files are accessed by multiple workstations from a single, consistent, always-on platform, resulting in data being retrieved in half the time. The Center is now able to double the number of analyses it performs each week, resulting in tremendous efficiency, improved customer satisfaction, and increased revenue.
Simplify your data management for backups, file shares, object stores, dev/test, and analytics.
The smarter, simpler way to solve mass data fragmentation.