BIG DATA ANALYTICS

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 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.

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?

PTC and Glassbeam to Showcase Industry Leadership in Internet of Things Analytics

We are working with our partner PTC to produce a series of thought-leadership materials aimed at helping developers, business managers, Internet of Things enthusiasts get started on the ThingWorx Analytics Internet of Things (IoT) platform.

Here’s the announcement from PTC on the upcoming thought leadership meetups: https://www.thingworx.com/about/news/ptc-thingworx-partners-showcase-industry-leadership-iot-analytics/

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.

Tis the season of conferences

Glassbeam is gearing up for Conference season – we are going to be attending two major events in Q2.

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.

Glassbeam studio architecture

GLASSBEAM STUDIO is a one of a kind software which helps in data transformation and preparation, visualizing data, deployment and much more. The Glassbeam Studio technology is modeled on a client-server architecture with functionalities balanced neatly between the client and the server. This software is architected to offer an infinitely scalable, seamlessly, and functionally compelling way to transform even the most complex machine data into valuable business insights.

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