Predictive Data Analytics
IT organizations and service providers typically can't predict what virtualized workloads they might add or modify next. They can only guess at performance or capacity requirements and often buy more capacity than they really need.
Data analytics is crucial as it provides IT pros with information to make better decisions about application behaviors and storage needs. Predictive analytics in particular make it possible for data center professionals to trend their use of capacity and performance, and anticipate future needs. Advanced tools will also allow the user to model scenarios, so they can precisely assess the impact of changes to their virtual footprint.
Importantly, this type of analysis doesn't take minutes or hours — modern technologies like Elasticsearch make it possible to crunch thousands or even millions of data points in seconds. The bottom line is that predictive analytics replaces guesswork with visibility and precision.