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Medical device company IBA (Ion Beam Applications), the world leader in particle accelerator technology, has selected Dezide to amplify its field service troubleshooting efforts. This follows a remarkably successful one-week Proof of Concept (PoC), proving how to revolutionize how the company tackles problem-solving. “Working with Dezide has been an invaluable experience for IBA.
In a previous blog post, we delved into the intriguing question of “How much time should you invest in an expert troubleshooting knowledge base?” It provided valuable insights into the time-consuming nature of building and maintaining a knowledge base and pinpointed where the hours and effort are invested. This understanding underscores the importance of the Read more The post Streamlining Troubleshooting: How the Knowledge Value Chain Enhances Field Service Efficiency appeared first
In the world of knowledge management for technical troubleshooting of advanced products, the Acquisition phase is where it all begins. From tapping into internal expertise to harnessing external sources, both explicit and tacit, this phase identifies what knowledge is needed to tackle challenges and drive progress. This first phase of the Dezide Knowledge Value Chain Read more The post Knowledge Value Chain – Acquisition: Unlocking Knowledge’s Source appeared first on Dezide.
The benefits of a high quality, continuously updated technical knowledge base are numerous and proven; information enablement, reduced troubleshooting time, errors fixed on the first visit and instant transfer of skills to new generations of field service engineers, to name a few. However, there is one question in particular that always comes up quickly in Read more.
In our last post, we discussed how to handle complex issues in advanced machines by breaking down the troubleshooting process into component level troubleshooting and then building more sophisticated hierarchies for handling the high level symptoms. In this post, we will be taking this concept further and see how we can optimize the machine troubleshooting Read more.
According to Webster’s Dictionary, knowledge is “the fact or condition of knowing something with familiarity gained through experience or association” In the context of business enterprises, we see that knowledge tends to be interpreted as possession of experience (tacit knowledge) as well as possession of factual information (explicit knowledge) – or where to get it.
Last time we discussed knowledge as it relates to the possession of experience (tacit knowledge) as well as possession of factual information (explicit knowledge) – and the important distinction between data, information and knowledge. We saw that knowledge is about interpreted data and information put into a context and understanding of previous learnings or knowledge Read more.
Troubleshooting systems combines human knowledge and the computational power of computers, a fusion enabled by an underlying mathematical knowledge model capable of reasoning far better than humans. Big data, Machine learning and AI are buzzwords in the tech industry and they are increasing in popularity and with good reason – systems like that are extremely useful Read more.
A static approach to serving relevant knowledge at the right time We already discussed how to use mathematics for organize our expert knowledge about error codes and problem areas in a knowledge model of causes, actions and questions using probabilities, time and cost and troubleshoot like the best. However, dynamically calculated troubleshooting guides is not Read more.
How do we actually capture all that knowledge embedded within the organisation? Models for capturing expert knowledge in Dynamic and Static guides makes a lot of sense as we have previously discussed. We have also looked at what knowledge is and where it can be found and our experience working with knowledge management through 15 Read more. The post How do we capture knowledge?
Making the right knowledge available for the right people at the right time is essential for all organisations that aspire to create and distribute a knowledge base to multiple channels in various languages across products and services and target user skill levels. Let’s break that down a bit: The right knowledge For the right people Read more.
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. What does your ideal support case look like? I know what mine looks like – if I had all the options that I can think Read more.
In our last post, we explored on a high level, that digitalization and knowledge management are the key ingredients for turning service departments into modern business units. In this post, we are digging a little bit deeper to understand how we can approach this. Service 4.0 Digital technology is indeed revolutionizing the provision of services. Read more.
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 Read more.
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. I have visited Read more. The post Troubleshoot High Level Symptoms in Complex Machines appeared first on Dezide.
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