PRODUCT ANALYTICS

Glassbeam for Glassbeam (Part 3) – Making our Support Team Super Heroes!

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.

Glassbeam for Glassbeam (Part 2) – Why, Who and for What!

In my first blog in this series (here), I talked a little about the importance of log analytics in general and specifically I touched upon the types of logs and the frequency of our log data collection.  In this post, let’s go over the use cases of our teams in Glassbeam. The use cases our teams have are very similar to the use cases that we solve for our customers. 

Why Heavy Product Manufacturers Should Pay Attention to Customer Service Now More than Ever

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.

Webinar: Putting Machine Data to Work with IoT Analytics

Webinar Title: Putting Machine Data to Work with IoT Analytics
When: October 13, 2016
Starts: 2:00pm ET
Ends: 3:00pm ET
Register Now

 

On September 07, PTC announced a webinar series to highlight the growing importance of collecting and analyzing machine data. Coming up next week on October 13 — as part of the series, executive leaders from Glassbeam, PTC, and Springpath in a crisp, high energy webcast will discuss:

7 Must Have Items on Your Checklist Before You Consider Machine Data Analysis

These are the 7 key factors that highlight whether performing machine data analysis realizes credible value for you.

1. Prepare the raw data —

Most of machine data are in the form of logs. Industrial machines are constantly producing valuable operational data (call-home data) on configuration, performance, usage, and other important parameters that define the very life of the device in the field.

Market validation in one wonderful iot landscape

Matt Turck at FirstMark recently wrote a wonderful post that outlined the CURRENT IOT LANDSCAPE (Glassbeam mentioned under Analytics) and the reasons for the somewhat slow growth of the marketplace despite all the surrounding hype.

On to liveworx 2016

We’re just about wrapping up a wonderful week at TSW in San Diego where we met with tons of Support practitioners and discussed with them numerous ways to help them transform their Support organizations into Profit Centers. Now, we’re getting prepped for LIVEWORX – traditionally the biggest Conference for us every year

IIOT trends to be aware of

IIoT promises to transform the industrial landscape. Customers expect the industrial product usage experience to match the retail, such as the Apple iPhone or Amazon shopping. So, when customers engage with machines, they expect equally intuitive and seamless experiences.

Smarter cities through iot analytics

For the first time in history, MORE PEOPLE LIVE WITHIN CITIES than outside them. This huge influx of people means that cities have to be able to find ways to quickly provide services to larger numbers of people, rapidly uncover and analyze pain points in providing these services, and plan ahead to accommodate the continuing migration. In particular, more people translates to more cars on the road.

IOT for farming

When you think of life on the farm, a life of waking up before the rooster crows, then heading out to the fields for the day to seed, plow, fertilize and reap in the hot sun before going home for the night and starting over the next day usually come to mind.

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