Travel & Expense

The Messy World of Big Data

on February 14, 2013
Gartner analyst Svetlana Sicular recently wrote on the topic “Big Data is Falling into the Trough of Disillusionment.” It provided much food for big data thoughts. And, in a world of uncertainty we have to think in terms of many questions with the answer from each question potentially identifying an indicator of an issue. When we’re outside the highly structured word of traditional BI there’s no longer the one question that provides the black and white answer. To build useful applications in the messy world of Big Data we need to think of the range of indicators that “perhaps” can identify an issue. In many ways this is similar to the challenge of identifying fraudulent business transactions. The fraudster attempts to conceal the crime which creates the messy analysis situation.  Fraud was our original design point for Oversight’s platform.  From those lessons we’ve developed a general purpose platform that contemplates a multifactor analysis, one that searches detailed data for multiple indicators.  This enables the type of application that will get us to the plateau of productivity.

Patrick Taylor

Patrick Taylor is an authority in the convergence of business analytics, information security, and the implementation of technology to boost organizational performance. An innovator in his field, Patrick founded Oversight Systems in 2003 and served as President and CEO for 15 years. In this role, he helped hundreds of Fortune 1000 companies improve financial, accounting, and auditing processes. Previously, Patrick held leadership positions with Oracle, Symantec, and Internet Security Systems (ISS). Patrick has a bachelor’s degree Mechanical Engineering from Georgia Tech and an MBA from the Harvard Business School.

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