CUSTOMER 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 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. 

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?

Partnering with tsia to transform support organizations

I must admit – the impetus for this post is squarely ANOTHER POST written by Judith Platz at TSIA.

IOT analytics expansion to accelerate in 2016

In my last post, I wrote about the progress Glassbeam has made this year, leveraging the increasing interest in IoT analytics in a wide range of industries. It is now clear that IoT analytics can dramatically improve business efficiency in everything from operations to product development and customer service. Here, I’d like to look forward at where Glassbeam sees IoT advancing in the coming year.

IOT analytics expansion to accelerate in 2016

In my last post, I wrote about the progress Glassbeam has made this year, leveraging the increasing interest in IoT analytics in a wide range of industries. It is now clear that IoT analytics can dramatically improve business efficiency in everything from operations to product development and customer service. Here, I’d like to look forward at where Glassbeam sees IoT advancing in the coming year.

Successfully handling the massive amounts of data iot creates

In July, I WROTE about the role IoT analytics can play in optimizing today’s complex storage networks. I wrote in that blog, “Storage system providers have turned to IoT analytics both to help ensure optimal performance and to gain a deeper understanding of how customers are using their solutions.”

Using glassbeam for customer segmentation

It’s a well-known fact that better customer segmentation results in increased profitability for any product company. Better segmentation enables product manufacturers to create highly customized offerings and messaging for each customer (the era of 1-1 marketing); better yet, these offerings are well-aligned with the needs and propensities of that customer.

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