As I was still contemplating how after hitting such a great drive, that my subsequent approach shot missed the green, my playing partner reminded me how almost every time I had a GIR, I made a par or better. It occurred to me that while I may not have wanted to hear it, I could not deny that the
If you’ve ever spent more than 15 minutes with me you know I’m a huge recreational fisherman and compete in many tournaments each year. I routinely perform maintenance on my equipment: boats, rods, reels, knots, lures, hooks, electronics, etc. But despite my efforts, poor maintenance cost me $5,
Government organizations, funded by your tax dollars, require a wide range of physical assets to provide the services that we come to expect from the world's largest national economy.
Let’s start with some numbers.
There are 453,144 vehicles owned by the US federal government
Of those, the
While most organizations respond to asset failure by sending out maintenance crews, the process is very reactive. With the advent of relatively cheap information gathering and data analysis, organizations can now leverage big data, such as maintenance logs and asset usage, wear, and surrounding
Big Data. It’s everything from machine data from sensors to social media, audio and video, transactions, and enterprise content. We’re all trying to figure out what it means and how to leverage it to better understand our customers and drive change in our organizations.
So what’s the answer?
More and more organizations are turning to Predictive Maintenance. These solutions help predict which asset or part of an asset is likely to fail or needs service, so organizations only replace parts or machinery when needed, not when they are “supposed to.”