REDUCING SUPPORT COSTS

Glassbeam loves its customers. Customer development is an integral part of Glassbeam. Our healthcare/clinical customers are telling us how the newly launched Glassbeam CLinical Engineering ANalytics (CLEAN) Blueprint is creating immense value by analyzing machine log data and presenting deep insights about machines in their clinical environment.

We are exhibiting at MD Expo April 4-6, a leading high tech medicine (HTM) trade show and conference. It will be held at the Renaissance Nashville Hotel, 611 Commerce Street. We hope you will stop and visit us at booth #119.

The increasing demand for better diagnostics is putting pressure on hospitals to invest in high-end medical imaging equipment such as ultrasound and X-Ray devices, computerized tomography (CT) scanners, magnetic resonance imaging (MRI) scanners, and positron emission tomography (PET) scanners. These machines can range from several hundred thousand to a few million dollars each.

In the second post of this series, I have listed the high level use cases of Glassbeam for Glassbeam across our internal teams: Technical Support, Sales, Engineering, and Product Management. In the next 4 posts, I will dive deep into the use cases for each of the above teams and talk about the value Glassbeam for Glassbeam as a data-driven decision making solution, brings to each team.

By ‘heavy product’ we mean those in the business of producing turbines, medical imaging devices, HVACs, converged infrastructure, escalators, elevators, mining equipment, oil & gas rigs, and so on.

Today, we are ANNOUNCING that OnProcess Technology, a leading managed service provider that specializes in complex, global service supply chain operations, has selected Glassbeam to assist in improving its triage management and logistic operations. This move is Glassbeam’s first foray into supply chain management. OnProcess will OEM Glassbeam’s IoT analytics platform and offer it as a value-added service to its customers.

That’s the title of a NICE ARTICLE written recently by Design-2-Part Magazine. And it’s the title of our blog post, albeit with a slight twist – we affirm that Machine Downtime HAS met it’s match – in IoT Analytics platforms.

We always feel elated when we enter a new vertical and win a couple of customers in the space. The joy and excitement is amplified when it’s a white-hot vertical by itself – in this case the Converged and Hyperconverged (simply “Converged” for this post) Infrastructure space.

Basic troubleshooting and Automation

In the previous blog, we looked at some of the steps commonly followed during troubleshooting and also how even though the specifics are different the overall approach is similar.

While looking at finding solutions to enable support, we need to remember that all support problems cannot be treated the same way. If we look at support issues, they are typically broken down into different levels, depending on the complexity of the problem. Most organizations have 3 to 4 levels – L1 – L3 or L4.