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Predictive analytics is a type of statistical modeling in which computers are able to forecast future events based on historical data.
The unprecedented amount of data generated by Internet-enabled devices and machines has given rise to predictive analytics, the practice of building analytical models that interpret this data in order to predict the likely outcome of future scenarios. Data scientists mine data to look for correlations among independent streams of information, then build and back-test models that can produce useful insights.
Companies can use predictive analytics to understand likely customer behavior, streamline internal processes, monitor and automate IT infrastructure and machine maintenance, and more. A few top use cases include:
HPE has a complete world-class flash storage portfolio from entry-level to the high end. Nimble Storage InfoSight uses cloud-based predictive analytics to anticipate and prevent problems before they impact your business and to ensure data reliably gets to your applications.
Work with experts to learn how predictive flash storage can benefit your IT strategy and operations.
Together HPE and Nimble Storage Will Deliver the Industry’s Leading Flash Storage and Predictive Analytics Portfolio
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Empower the data-driven organization
IoT data from equipment sensors help maintain more efficiently and predictably.