Tuesday, January 31, 2012

McKinsey weighs in on Big Data

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.

-- Big data is spawning new business models - in some cases companies that genuinely embrace big data are turning into big data consultants for other firms

-- The majority of the economic surplus from big data is being garnered by consumers - in the form of reduced prices, better information etc

-- Big Data is putting up big numbers: A beverage manufacturer improved forecasting accuracy by 5%; retailers reducing the number of items it stocks by 17% and so on.

-- And perhaps most importantly for this economy, Big Data Analytics is expected to generate 140K-190K additional specialist jobs, as well as create the need for an additional 1.5 million managers!

Way to go!

Tuesday, January 24, 2012

So, what is SPL?

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.

The SPL description of a class of documents and its semantics is passed through an interpreter to generate the database Data Definition Language (DDL) for staging, database DDL for the final warehouse, DDL and Data Markup Language(DML) for metadata to generate the UIs, and internal representations to perform a parse, a transactional or bulk load, and ETL transformations.

Please contact us if you need more technical details on our technology.

Sunday, January 15, 2012

Our customer-onboarding process

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:

1. Discovery and Documentation - document amongst other things what aspects of a log file need to be processed.
2. Analysis - essentially study log files and the feasibility of parsing relevant sections with SPLi
3. Design - here's where we identify and codify the relationships between various objects.
4. Development - develop cool SPL code to parse our client's data.
5. Testing
6. Deployment - including setting up the infrastructure and populating it with existing/historic data.
7. Provisioning - ensuring user access to the system.

Keen to try it out? Start off with a Jumpstart

Thursday, January 5, 2012

Glassbeam and support teams

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.

Further, the client was able to support a growing install base without increasing headcount in a linear fashion. Thereby, accruing more revenues without corresponding increase in cost - all adding up to revenue and margin increases!

Bottom lime was a 20% reduction in costs. And, a more satisfied and productive support team.