Automated end-to-end sales process of storage appliances of storage systems using predictive modeling
Abstract:
Techniques for generating end-to-end sales leads based on storage capacity forecast using predictive modeling are described herein. According to one embodiment, diagnostic data is received from a data collector that periodically collects the diagnostic data from a storage system having one or more storage units to store data objects. A capacity forecaster coupled to the data collector forecasts a full capacity date using predictive modeling based on the diagnostic data, where the full capacity date estimates a date in which the one or more storage units reach a full storage capacity. A context generator coupled to the capacity forecaster generates a context having information identifying the one or more storage units of the storage system and an operator operating the storage system, wherein the context is used to communicate with the operator for acquiring an additional storage unit to increase storage capacity prior to the full capacity date.
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