What is 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 and minimize downtime.

HPE has a complete world-class flash storage portfolio from entry-level to the high end. HPE 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.