Data Classification Enables Intelligent Cloud Migration
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Highly regulated customer with 2.1 petabytes of file shares and legacy Isilon storage; must retain certain data for up to 10 years. Over 90% of the customer’s budget associated with on-prem storage is storage maintenance. The customer faced challenges associated with a long-term cloud initiative, hoping to migrate as much as 80% of its data to the cloud to decrease its on-prem Isilon footprint. In addition to improving storage efficiency, the customer wants to strengthen internal policies and workflows to identify, store and/or delete sensitive data moving forward.
Without finding a new solution, the customer would have to increase their on-prem hardware footprint annually and would not be able to take full advantage of a cloud strategy. By not addressing compliance, regulatory demand, and risk the customer exposes itself to costly breaches and fines.
Classify360’s Isilon connector connected directly to the entire 2.1 petabyte dataset and provided a comprehensive view of the data the customer lacked using native application tools. The platform delivered near real-time data intelligence with GPU-enabled supervised and unsupervised machine learning to reduce false positives, noise, and the inevitable human intervention associated with “grey data.” Trainable decision tree technology established a predictable project cadence and provided near real-time classification and clustering.