As companies deal with an ever growing sea of data, they seek to get ahead of the curve by deploying predictive analytics solutions — especially in environments with virtualization or cloud computing. Drew Robb reports.
Predictive analytics has been around for a while and is applicable in several forms, most notably in business intelligence (BI) where you see it applied in areas such as Web traffic and consumer data analysis. It can also be applied to IT operations such as networking.
“Predictive analytics for IT is about understanding vast amounts of real-time data to forecast performance issues before they affect users,” said Daniel Heimlich, vice president at Netuitive.
“It is powered by behavior learning technology which is a math-based approach that involves advanced statistical analysis and algorithms.”
Netuitive, for example, has built a predictive analytics software platform based upon its nine behavior learning patents. It sits on top of the enterprise IT infrastructure stack where it collects and analyzes data in real-time from monitoring tools from vendors such as BMC, IBM, NetApp, CA, HP, VMware, Microsoft, Oracle and Compuware. Heimlich said this enables end-to-end monitoring and management of complex infrastructures with a very small footprint in terms of storage and computing resources.
Read the rest at Enterprise Networking Planet.