UPDATED 13:21 EDT / JULY 09 2013

Operational Intelligence: Using Big Data To Cut Through The Noise

In a series begun yesterday, SiliconANGLE is providing overviews of some of the key presentations scheduled for next week’s MIT Chief Development Officer Information Quality Symposium to be held in Cambridge, Massachusetts. Today’s offering focuses on Dr. Ahmed Abukhater, PhD, GISP Global Director of Product Management for Pitney Bowes Software USA and his presentation, entitled ‘Turning Data into Operational Intelligence’.

Operational intelligence (OI) is a concept that blends the operations of a business, their streaming events and visibility and insight into their collected data with the aim to provide real-time analytic results to the day-to-day operation of the company. When optimal OI is achieved, an organizations decision-making (and the implementation of those decisions) is immediate, either by manual or automated actions.

Dr. Abukhater’s abstract of his presentation states he intends to aid attendees in identifying future directions and examples of how OI can be used as a platform in order to take full advantage of “big data”, helping one’s organization to become more productive and efficient.

With the focus of the symposium geared toward identifying and extracting quality data, Abukhater’s presentation stresses how an organization can only see true value in their data if they are able to translate that data into operationalism in a way that can be meaningfully measured.

As a market segment, OI is the new kid on the block, following in the footsteps of its predecessors, business intelligence and business process management. Many of the same companies that cater to the older platforms also provide solutions that incorporate components of OI.

SiliconANGLE’s Mike Wheatley recently wrote about the adoption of many OI components by businesses in Asia. Despite their reticence toward moving their compute and storage to the cloud, many businesses have embraced big data and the analytic models that coordinate that data, “to improve profitability, reduce operational costs and offset rising labor costs, among other uses,” wrote Wheatley.

The description of Abukhater’s presentation concludes, “Monetizing the value of data is a function of location data management best practices and operational efficiency that leads to the opportunity to extend existing markets or create new ones.”

Dr. Ahmed Abukhater is scheduled to present at 3:30pm on Wednesday, July 17.


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