Data-driven organizations that embrace Digital Transformation possess immense potential for innovation and enhanced efficiency. However, it is also crucial to leverage that potential for the good of the planet and turn your sustainability ambitions into measurable and tangible results.
Feel free to share your ideas, thoughts, and insights regarding practical applications, best practices, and examples of how data can be harnessed to reduce environmental footprints. Remember, even the tiniest actions can yield a huge impact.
Let's help our precious planet by inspiring each other!
Reducing the number of site visits for your technicians
You can structure your equipment into views that represent a location/region, so you can validate all the alarms within that view/region and send your technician out with equipment for all the alarms under that view.
You could also take it a step further and use the correlation application within DataMiner to group alarms in a smart way, so you can make the right conclusion on what device might be leading to these alarms. This way the technician can make the right decision on what equipment is needed without taking too much with him, leaving maybe sufficient space for the next stop.
Reducing the number of times you need to send a technician on-site will not only save you time and money, it will also reduce your impact on the environment
Indeed – in general, anything that can be done towards being more efficient and proactive in your field support operation, will contribute also to your footprint reduction. A double win, reducing cost considerably and reducing foot print.
The fact that this can be quite considerable is illustrated by the following real-life use case: Telenet, based on the DataMiner EPM solution, implemented a pro-active field maintenance solution, and effectively reduced their truck roll-outs with 20.000 / year through the initiative. This is a huge cost-saving, but indeed also a very considerable footprint reduction.