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August - 2014 - issue > CEO Viewpoint

Why IT Big Data Needs its Own Analytics?

Sasha Gilenson
Co-founder & CEO-Evolven
Wednesday, August 6, 2014
Sasha Gilenson
Founded in 2007 and headquartered at Jersey City, NJ, Evolven's IT Operations Analytics provides intelligent answers to key IT operations challenges: how to accelerate incident resolution, how to avoid harmful and risky changes, and how to assess and optimize IT operations performance.

IT Operations Powers Business Big Data

Using Big Data is currently seen as a solution for everything these days. Businesses and government agencies alike are collecting large volumes of diverse data from web logs, click streams, sensors, and many other sources, looking to extract insights hidden in this poly-structured "big data", that can alert them to everything from product problems to potential market opportunities spawned by specific events.

To get an understanding of the interrelationships of this data, IT support teams provide support for the massive volumes of unstructured and semi-structured big data, extracting value from this data for the business, by applying emerging Big Data analytics solutions. IT management teams can integrate unstructured data with structured data from core business applications, analyzing the combined data set, and integrating big data discoveries into the enterprise.

IT Operations, themselves, also face their own "big data" challenges due to the volume, variety and velocity of IT information overwhelming IT operations in the data center. So by applying the Big Data analytics perspective to IT operations, there is an opportunity to not only make a strategic change in the way IT operates, but also extract tremendous value. Now is the time to apply some of the same Big Data thinking that has been put to work for business management to IT, and bring the analysis of big data inwards for IT Operations, with IT Operations Analytics (ITOA)tools.


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