Turn the combination of our software platform and your expert troubleshooting knowledge into a product that you can sell to your dealers and customers to make a profit.
The complex nature of medical equipment combined with significant service criteria around security and quality management means that documentation rigor, precision through data, and optimized work processes are service necessities.
Turn the combination of our software platform and your expert troubleshooting knowledge into a product that you can sell to your dealers and customers to make a profit.
Capture expert know-how in Dynamic Interactive Troubleshooting Guides using causes, probabilities, actions, questions, cost and time. Build hierarchies of guides to tackle even the most complex problems.
Track all performed troubleshooting steps and and time-spent for audit and compliance.
... common recurring faults and the right way to start troubleshooting
... knowledge to a greater audience, internationally, in all languages.
... completeness, speed and all performed actions for telemetry and to ensure compliance.
... the junior engineers to a higher standard without excessive training cost.
... real-time data-driven repair action suggestions, based on Bayesian Networks
... access to the troubleshooter and IIoT data. Fix problems without a network connection.
It’s no longer enough to serve knowledge to call center staff, field service technicians and customers using explicit manual interfaces and through static pre-defined paths. Service organizations need to embrace digitalization and switch to a service-oriented architecture enabling proactive, human-centered and data-driven offerings delivered as a truly seamless omnichannel user experience providing dynamic and real-time paths.
In this shift, knowledge is currency and key to owning the future of excellent service. And, knowledge can be monetized if captured in sound models for knowledge that supports the transformation from “old school” knowledge management to a modern dynamic approach enabling service companies to give stellar service through expertise gained through years of experience, what most people call “know how”. From the man in the van to the hyper-connected technicians with access to big data, analytics and machine learning, knowledge remains the key ingredient
With a high quality knowledge base and automation, you can send a less skilled technician to solve the problem with a high likelihood using new advanced digital technology.
The cool thing about using Bayesian Networks for decision making and troubleshooting is the ability to reason under uncertainty, and missing data or information and it scales extremely well – where other decision and knowledge modeling technologies break down with scale and complexity, systems based on Bayesian Networks has no problems handling even the most complex issues.
In an industry like medical equipment, field engineers must be equipped with the best troubleshooting tools possible to ensure that the advanced machines are fixed in the same way every time – and that all actions are automatically tracked along the way.
Dezides patented troubleshooting technology leverages the power of conditional probabilities using Bayesian networks to provide a very strong model for capturing expert troubleshooting know-how and transferring it to other technicians seamlessly.
As the industrial internet of things continues to pull more information, companies will need tools to manage and utilize all this data. In the service department, the potential for increasing troubleshooting efficiency using IIoT data is enormous.
Troubleshooting will certainy have to be handled different if a machine has been operating for 2000 hours vs. 200 hours. Ambient temperature, seasonal effects and many other factors all have a role in troubleshooting and by injecting that type of data into the process, the troubleshooting system will be able to suggest solutions based the actual state of the current machine in its current environment.
Combine that with machine specific error codes and historical data that can reveal how this particular piece of equipment has been operating over the course of its lifetime and we get a troubleshooting experience designed and optimized for each individual machine, every single time.
By using IoT data, we can take away difficult manual evaluation of complex data and present informed solutions to the users in an optimized way and as such, IoT becomes an integral part of the digital transformation of service.
With Dezide, IoT is not a future vision, it’s happening now, and where many IoT solutions are good at collecting massive amounts if IoT data, Dezide can activate and use that data right now for reducing troubleshooting time.
When I visit customers all around the world in various industries that manufacture very complex machinery, we always end up spending a lot of time on one thing in particular – getting our heads around how to troubleshoot high level symptoms that the field service engineers face all the time out there.
We help solve problems with long troubleshooting times and too many visits to the same machine to fix the same issue, and we help our customers solve the challenges around transferring extremely valuable subject matter expert knowledge from one generation of technicians the next – and that’s what our customers have been coming to us
This is the first post in a two-post mini-series about transforming your service department from a reality of unstructured and scattered information to a streamlined organized service experience through digitalisation.