Why quality IoT data is critical for predictive maintenance and how it can be achieved
Our previous post concluded with the following statement: “Garbage in, garbage out” and highlighted that for predictive maintenance to be effective, you need refined, quality data. When data is “dirty” or fragmented you will not only have to spend a significant amount of time to turn it into useful information, but you will not be […]
