Big Data appears to be the solution of every problem, especially when it comes to IT. But, one thing we often forget is that the big repository of data is useful only when one is able to generate actionable insights from it. Otherwise, it’s just another stack of data. With organizations becoming increasingly dependent on technology for every aspect of business operations, IT enterprises are finding themselves locked with big data with no useful insights. Raja Mukerji, president of ExtraHop, in an article in Inside Big data talks about IT operation analytics as the most viable solution to this problem and how it has emerged as a framework for a horizontal approach to Big Data in IT. He believes that ITOA will help release useful insights form IT Big data and the horizontal, silo buster approach will transform IT from a mere support system into a strategic business driver. For more on this piece follow the link http://insidebigdata.com/2015/07/18/taking-a-horizontal-approach-to-big-data-for-better-it-and-business-outcomes/

ITOA or IT operations analytics is a recent entry to the field of analytics. ITOA automates the process of collecting, organizing, and identifying patterns in highly distributed, diverse and fast-changing service and application data to identify problems faster and improve IT system performance. IT Operations Analytics can be applied to the modern IT Infrastructure and Operations environment. What it exactly does is that it Collects, index and monitor logs and events for abnormalities, perform ad-hoc searches of all log data across the entire IT environment from a single console and correlate log data with events and service models, or application groups. This helps in detecting and resolving service issues more quickly than ever before. Read more at: http://insidebigdata.com/2015/06/09/it-operations-analytics/