A: We describe what's called an open data ecosystem, which begins from connecting the various information sources - equipment, dispatch system, surveys, etc. - and pulling that into a repository which we call a data lake. Then comes the interoperability work to get the different apps using the data, talking to each other, and making this data openly available to any team focused on driving data-driven performance improvement. Once that's done, you can apply various analytics to the data to gain insight relative to KPIs or investigate particular problems or issues.
But the critical piece here is to track and review that information regularly. Data isn't of value unless you have defined goals for what you want to do with that data and have checks and balances to ensure that you accomplish them. So you fact check by answering key questions that will improve overall operations. Consider this.
- Do you see extended periods between failures without warning through equipment monitoring?
- Has productivity increased?
- Have you avoided any unscheduled equipment breakdowns?
- Has the data helped lower TCO?
The value of the data is determined by the actions you take to improve these numbers.
Through remote health monitoring, data analysis, operator training, and advanced technologies like automation and proximity detection, our experts can help you optimize the performance of tasks to substantially improve machine productivity and safety and reduce your total cost per tonne.