PRODUCT OPERATIONAL DATA

Big data and dsl ( domain specific language )

GLASSBEAM
Oct 06, 2012

DOMAIN SPECIFIC LANGUAGES have been around for a long time – a great example of a DSL is SQL for RDBMS. A DSL is differentiated from a general-purpose language such as C, Java or Python since a DSL is geared towards a specific domain.

Skills needed for big data analysis?

Feb 06, 2012

A recent article in FORBES opined that Big Data Analysis required Data Scientists and Quant/Excel jockeys. We agree – to an extent.

While these skills are important for an organization that wishes to do everything in-house, there are companies like us that are obviating the need for acquiring this talent. Especially if you are a manufacturer of computer-centric technology products you don’t need to look beyond our SaaS-based OFFERING to easily collect and analyze data.

Mckinsey weighs in on big data

GLASSBEAM
Jan 31, 2012

The Q4, 2011 issue of MCKINSEY QUARTERLY focused exclusively on big data and its implications for various industries moving forward (Free registration required). Makes for a very interesting read!

Some key takeaways:

– Industries with the most potential for reaping benefits from big data include Finance, Insurance, Transportation and Warehousing, and Health Care.

So, what is spl?

GLASSBEAM
Jan 24, 2012

Simply put is stands for Semiotic Parsing Language. But, more importantly it is the core of our technology.

SPL is an intuitive language that describes the structure and semantics of a class of documents. For semi-structured data, as is typical with our customers, it means we can utilize the structure inherent in the data and reflecting it in a high-performance and highly normalized data warehouse.

Our customer-onboarding process

GLASSBEAM
Jan 16, 2012

We’ve developed an effective process for bringing new customers on board.

While a detailed description of each phase is beyond the scope of a blog post, here’s an outline:

Glassbeam and medical devices

Glassbeam
Dec 16, 2011

We recently posted a case study on how we help a prominent medical devices company uses our solution to monitor how, which and when products are being used by medical professionals. This has helped the company make decisions on product features and even to identify the right cross-selling and up-selling opportunities.

Integrating services into our saas offering

GLASSBEAM
Nov 30, 2011

Our goal of accurately capturing, assimilating and displaying product operational data often results in the need to provide value-added Services to our clients.

One that results fairly often is the need for SPL Maintenance. We work with manufacturers of complex technology platforms whose products get upgraded frequently — resulting in newer versions of call-home data and support bundles. These now have to be parsed and compiled; and our engineers routinely work with customers to update definitions that accurately reflect he nature of incoming data..

Partnering with glassbeam

GLASSBEAM
May 27, 2016

Glassbeam is always interested in exploring partnership opportunities with companies whose offerings are adjacent to ours – Knowledgebases, BI, CRM etc

We’ve already WRITTEN about our partnership with Opsource. We also partner with VERTICA to help assimilate and store our data; and with LOGIXML to provide the cool dashboards that help our users gain compelling visual insights from trends in this data.

Getting started with a trial account

GLASSBEAM
Nov 15, 2011

Occasionally, we have get feedback bemoaning the fact there is no way to get started with Glassbeam ‘in minutes’ (as is typical of many SaaS companies). We have to remind visitors that we collect and analyze complex operational data and it takes some upfront work to get going with our software.

Join us for a webinar on december 6

GLASSBEAM
Nov 08, 2011

We look forward to your participation in our WEBINAR on December 6.

It is intended for a wide audience — engineers, support folks, marketers — essentially anyone interested in learning more about mining valuable PRODUCT OPERATIONAL DATA. And, how this can help your team in cross/up-selling products, resolving support issues, or making smarter product roadmap decisions.

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