If it has sensors and it failed in the past, we can predict future failures!

Predictive Analytics is a proven technology for detecting and diagnosing emerging reliability problems far earlier than traditional methods. It is also a non intrusive method that should not be introduced to complete other predictive maintenance techniques and processes.

Some maintenance experts or operational executives believe it is difficult to predict failures in advance. They are correct that is is difficult, but Predikto makes the process very simple by performing a Proof of Concept on a few key assets without the need to install any software or build automated interfaces.

We love these challenges. We have a simple answer for skeptics: “If it has sensors and it has failed in the past, then we can predict when it will fail in the future”. It all starts by clients giving us some sample data and Predikto shows them what can be predicted in that particular case.

Emerging Technologies Hype Cycle 2012 by Gartner

The graph below is from the Emerging Technologies Hype Cycle 2012 published by Gartner. Big Data, Machine to Machine Communications, and Predictive Analytics are positioned well to enable organizations to adopt these technologies.

These technologies make up the Predikto sweet spot. Coupling these trends with Actionable Analytics are key to enabling organizations to make impacts to their bottom line.

I was surprised to see Big Data so far to the left on this curve, but Gartner is usually very good about capturing enough data and KPIs to support their research.

Gartner Hype Cycle 2012
Gartner Hype Cycle 2012