What is Predictive Analytics?

Predictive analytics is a type of statistical modeling in which computers are able to forecast future events based on historical data.

Predictive analytics definition

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.

Why predictive analytics?

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:

  • Managing risks: Using statistical models for risk management is nothing new, but predictive analytics takes the practice to a new level of precision. Now technology can uncover an issue, and proactively resolve it before your business is impacted.
  • Predicting demand: Predictive analytics can help companies smoothly allocate resources and adjust bandwidth or inventory levels to match likely needs, boosting overall operational efficiency.
  • Cross-selling and up-selling: Particularly useful for e-commerce, this type of predictive analytics allows retailers to offer additional purchase options during current transactions based on data from previous similar transactions.
  • Optimizing pricing strategy: Using predictive analytics, companies can understand the micro-dynamics of a given market and tailor pricing to increase sales and/or optimize profit dollars based on likely consumer behaviour.
  • Automating system maintenance: The Internet of Things (IoT) makes it possible to capture data at the edge of your network and use predictive analytics to perform preventative maintenance to minimize downtime.

HPE predictive analytics products and services

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.

Nimble Storage and HPE join forces

Nimble Storage and HPE join forces

Learn how Nimble Storage, a Hewlett Packard Enterprise company, combines flash efficiency with radical simplicity to offer a new, cloud-ready approach to storage for hybrid IT.

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Nimble Storage Infosight predictive analytics

Nimble Storage Infosight predictive analytics

Avoid disruption with InfoSight, leveraging cloud-based predictive analytics to anticipate and prevent issues before your business is impacted.

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Contact us

Work with experts to learn how predictive flash storage can benefit your IT strategy and operations.

Resources

Blog Post : Together HPE and Nimble Storage Will Deliver the Industry’s Leading Flash Storage and Predictive Analytics Portfolio

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Blog Post

Together HPE and Nimble Storage Will Deliver the Industry’s Leading Flash Storage and Predictive Analytics Portfolio

Infographic : Predictive Analytics Based on Machine Learning Boosts Application Uptime: Learn More About Infosight

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Infographic

Predictive Analytics Based on Machine Learning Boosts Application Uptime: Learn More About Infosight

Blog Post : Nimble Storage InfoSight: In a League of Its Own

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Blog Post

Nimble Storage InfoSight: In a League of Its Own

Solution Brief : Predictive is the New Requirement for Virtualized Infrastructure

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Solution Brief

Predictive is the New Requirement for Virtualized Infrastructure

Brochure : Empower the data-driven organization

Read the Empower the data-driven organization brochure
Brochure

Empower the data-driven organization

Business White Paper : Predictive maintenance – A paradigm shift

Read Predictive Maintenance for Manufacturing IT White Paper
Business White Paper

IoT data from equipment sensors help maintain more efficiently and predictably.