Big Data: Beyond the Hype

Information has always been central to the functioning of an enterprise. Today, with the fast pace of business, access to the right information at the right time is critical. Enterprises need information to track the status of the organization; to answer questions; to alert it to changes, emergencies, trends, opportunities or risks; to predict, model and forecast their business.

To this, we must add one more information goal, one that is so valuable but so elusive that it has been little more than a dream: to find the unexpected: the unknown threat, the unknown opportunity. These so-called black swans lurk on the edge of our understanding, obscured by the over-abundance and scattered nature of information in the organization today.

Big data tools and technologies have been developed to help manage, access, analyze and use vast quantities of information. Big data is often defined by the three V’s: Volume (amount of data); Velocity (the speed at which it arrives); and Variety ( the number of data types or formats). But the value in big data is not really rooted in its abundance, but rather in how it is used. Big data tools enable us to understand trends and answer questions with a degree of certainty that was not possible before—because we did not have enough data to support our findings. Big data approaches to healthcare are starting to enable treatments that take into consideration the particular characteristics of a patient– their age, history, or genetic makeup. We use these characteristics as a filter or lens on the medical research literature, focusing what we know within the context of that patient. Given enough data, we can also find unexpected patterns. For instance, one project uncovered previously unknown markers for predicting hospital readmissions for congestive heart failure, saving a health organization millions of dollars. Big data techniques have helped predict the next holiday retail season, uncovered patterns of insurance fraud, and emerging trends in the stock market. We use these tools to find out if customers are satisfied with our products, and if not, why not. Political campaigns use them and so do managers of baseball teams.

Briefly, then, big data gives us plenty of data to analyze overall trends and demands, but it also helps us understand individuals within the context of a solid set of information about people who are like them. Instead of aiming at a mythical “average”, it lets us treat customers, patients and voters as individuals.

With new technologies like big data, we are at the beginning of a very complex new relationship between man and machine. Machines can find patterns and make recommendations; but people need to test these patterns for reality, and they also need to be able to hypothesize and test results. Used wisely, big data could improve customer service, healthcare, or government by allowing us to dig more deeply. Used wisely, these tools will also help us to make our organizations more flexible and adaptable in a fast-changing world.

About Sue Feldman

Founder and CEO of Synthexis. Longtime technology analyst covering cognitive computing, search engines, text analytics, NLP, unified information access and big data. Author of "The Answer Machine", Morgan & Claypool, 2012.

Posted on July 13, 2014, in Analytics, Cognitive computing and tagged . Bookmark the permalink. Leave a comment.

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