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We deliver analytical insights, leverage machine complex data, and empower end-users with business intelligence.

Glassbeam for Glassbeam (Part 5) – Data Driven Product Management

Glassbeam for Glassbeam - Product Management
 
Product Management is not an easy thing to do. Bulk of the company’s resources and direction is driven by the decisions made on the roadmap of the product. Bad decisions lead to wasted effort internally and in the best case lead to unhappy customers and in the worst case, lead to losing customers. 
 

Glassbeam for Glassbeam (Part 4) - Helping Smart Engineering Teams be Smarter

In this post, let me explain how Glassbeam’s engineering team uses the Glassbeam Analytics solution to be an effective and responsive team to every bug and the not-so-nice user experiences that our customers could potentially face.

Here are some guidelines that our Engineering team uses to seek answers from log data-driven Glassbeam 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. 

Glassbeam for Glassbeam –Dogfooding and Loving it!

At Glassbeam, we have always believed in eating our own dog food and why not! We have the same use cases that our customers use for our platform. But, before I go deep into the internal use cases that we use Glassbeam for, let me explain how we collect our infrastructure logs and the types of logs we collect.

Medical Device Usability is a Dire Need, Not a Nice-to-Have Option

The connected medical equipment is here and the possibilities of a fresher, richer future are staggering. Imagine CAT scanners talking back to technicians, initiating reports on its profitability, or does a self-diagnosis and tells product management they ought to replace it. These possibilities are not too far into the future but we’re almost there.

What’s On the Chief Data Officers’ Table to Wrestle Data Preparation

The need for proper tool to organize and understand the underlying patterns in machine data exists. From what we’ve been hearing, that’s gripping the Chief Data Officer’s mind. Why?

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.

What's Shaping the Industrial Internet of Things Network?

Industrial internet network is a complex mix up of OT, IT, and business operations setup. At the heart of the large computing that’s going to take place is the infrastructure. It’s not just high speed data transmission networks that are going to define the reliability of the infrastructure, it’s the many sub layers that need to meet at the vortex to make IIoT networks work.

Puneet (CEO) to speak at 2016 IoT Summit, Chicago

Glassbeam is pleased to announce Puneet (CEO) will be sharing some great insights on Machine Data Analytics on Nov 9 at the IoT Summit, Chicago.

Puneet will share how Glassbeam is creating value for product manufacturers from machine logs and the importance of partnerships at summit. The presentation is scheduled to begin at 10:15 am. Other principle speakers include Barclay Knapp from M2M Spectrum Networks.

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