Rockwell Automation suggests mining companies consider implementing a scalable approach for the management of analytics at an enterprise, system and device level.
This will allow companies to produce, analyse and react to information as close to the source as possible.
Elliott says companies will be significantly more agile by having scalable analytics, giving them faster decision making, improved network speed and performance, the ability to solve problems when they occur, and less risk and cost.
“(The data then) doesn’t have to move up to the cloud and back again depending on where your operations are, and most mining companies have operations all over the globe in remote places,” he says.
“Issues like latency become a problem there where you simply cannot have the same level of performance in one location to another.”
The second approach of Rockwell Automation for taming big data is to help ensure it is given to the right people, for example, mine managers will get the information they need separately from what a maintenance technician receives.
Elliott says there is now a lot of technology available that enables mining companies to transfer the right data to their people in a simple and intuitive way.
“It is really no surprise that someone running a mining operation uses different data to someone in maintenance. However, it is the same data that they look at, but it is just put together in a different way for their specific needs,” Elliott says.