In any environment, the capability to predict events provides immense value. In many cases, predictive analytics involves looking back over past events to predict what might occur in the future with a certain degree of confidence. When applied to the operational intelligence space and used correctly, predictive analytics can become a key asset that is more heavily relied on by teams rather than any other part of an Operational Intelligence program. For example, imagine having the ability to know the appropriate thresholds to set to alert key staff of impending issues, the capability to understand that a problem is beginning to occur even before it does, or simply being able to predict what consumers will purchase and ensuring the items are in stock. These examples just scratch the surface on use cases for predictive analytics.

In this recipe, you will write a Splunk search to predict website traffic volumes over a given time period. You will then graphically...