DINGO believes integration of a different type is required to ensure these big data tools provide the value mining companies require.
“At DINGO, we know that technology alone is not the answer,” the company told IM. “It’s integrating technology into the way people work and keeping the people who use the technology central to the process.”
By sticking to these philosophies, DINGO has provided its customers, on average, a more than 4:1 return on investment in parts costs alone under its fleet maintenance solutions, according to the company.
“One example is a small surface mine in Nevada which had a target to reduce their maintenance budget by 15%. By partnering with DINGO, they achieved a 24% reduction in year one of their programme,” DINGO said.
The company’s Trakka® predictive maintenance software helps manage and correlate multiple condition monitoring technologies into one database to aid analysis and decision making.
On top of this, DINGO has a team of maintenance experts, working under its Condition Intelligence® platform, who use Trakka to help filter through the massive amounts of data coming through from monitoring equipment.
This type of service is extremely valuable; in effect offering a human touch to the machine-heavy processing of data.
And, the company is offering “actionable information on the go” with the development of products such as the Trakka Field Inspection App and Asset Heath Management Dashboard and App.
The release of DINGO’s Trakka 4.5.12 comes with improved drag and drop functionality, flexible CSV data import, a new interface for dozer tracker inspections and new ERP integration web service.
The increased uptake and use of such apps has led to higher volumes of digital reports, images and other files; something the company addressed in the release of Trakka 4.5.12. This release features drag and drop functionality, flexible CSV data import, a new interface to dozer tracker inspections and new ERP integration web service – all geared towards simplifying the user experience.
For more information on DINGO’s award winning predictive maintenance software, email us at firstname.lastname@example.org or click here to use our contact form.
Dan Gleeson │ International Mining │ Excerpted from the feature article – Big Data and Digitalisation: Leverage the Learning