BIG DATA ANALYTICS

Machine data benefits sales and service

GLASSBEAM
Sep 25, 2012

Most people think of sysadmins and IT when they think log files. We at Glassbeam think sales operations and services! Why? Because machine data provides the truth and nothing but the truth about your customers and how they use your products. This information is extremely valuable to enterprises.

How can sales people benefit from log data?

Loading log data for analytics

GLASSBEAM
Aug 25, 2012

We all have situations where we wished we could instantly analyze data in unstructured formats. For example machine log data or web log data, or log data from applications. Over the years tools for analyzing weblogs (for example Google analytics) and most recently some machine data search tools( Splunk) have made the task easier. However there are files with multi-structured data with each section having multiple formats. Further in many enterprises, log data need to be combined with other structured data to make sense.

Moneyball for sales and service

GLASSBEAM
Jul 10, 2012

With the buzz around Big-Data it is important to keep in mind what can be done with the data. For those of us who have read or watched Money Ball it is apparent that you can use insights derived from data and combine that with your intuition to make better decisions.

Glassbeam gives you the tools to make such decisions in your business, based on unfiltered machine data.

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.

Glassbeam and support teams

Glassbeam
Jan 05, 2012

We’re in the midst of finalizing a case study featuring how one of our customers used Glassbeam to make it’s support organization more efficient. Will be sure to update you when we launch the case study, but can share some key findings,

One of the greatest benefits of using Glassbeam was the usage of threshold events and automatically opening cases in CRM systems (hitherto done by L1 support personnel). This resulted in substantial cost savings.

Big data and big insights

GLASSBEAM
Nov 10, 2011

A great article from INFORMATION WEEK cogently summarizes the problems many organizations face with capturing and harnessing big data.

We hear the same refrain from customers and prospects — of data not being available easily; and even if it’s available it being non-reliable, non-centralized and non-structured. All making it harder to assimilate and analyze.

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