Capitalizing On Near Real Time and Real Time Operational Intelligence (OI)

"Data is the new oil…"

The Harvard Business Review (HBR) has joked about this, saying that every 14 minutes a business executive somewhere in the world pronounces that "Data is the new oil". However, there is truth in this statement. There is invaluable Operational Intelligence (OI) that can be extracted from real-time or near real time data. This intelligence is the key to understanding what is happening within a business and its IT operations in real time. And what’s the end result? Faster and better decision-making (see Table: Data types and their outcomes). In today’s world where the time taken for a decision can prove costly, this is a must-have capability.

An example of an expensive delay in decision could be that of an e-commerce website - When a page takes a few extra seconds to load, the customer moves on to competition. So the question is, how soon can the operations team identify the root cause of customer attrition and take preventive action?

The key is to use all kinds of data and apply the right tools, policies, and models to analyze it and transform it. This, in essence, is the data refinery. It helps extract value through usable visualization and actionable insights. The efficiency and accuracy of data refinery depends on how the data 'pipes' are laid within the 'refinery' and how its components are integrated and configured. The architecture determines the manner in which data is ingested, orchestrated and crunched.

For today's businesses it is important that this happens at scale regardless of input devices, data types and data volumes. And more importantly, the business should be able to quickly re-configure the insights engine, and use the data 'pipes' and analytical models in new combinations and structures, based on the changing business needs.

About The Author

Balwant Singh is a technologist with passion and drive for emerging technology business with more than 17 years of experience in Software Products and Internet Scale Solution engineering of highly available, fast, reliable and scalable systems using open source and disruptive technologies such as Cloud, Big Data/Hadoop, HPC and Cluster Computing & Storage Systems.

Balwant holds a Bachelor of Technology Degree in Electronics & Communication from the University of Pondicherry, India.

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