Data gathering peaked in the big data era, when organizations wanted to get as
much information as they could,” says Kristian J. Hammond, professor of computer
science at Northwestern University’s McCormick School of Engineering. “Gathering
data is easy, but gathering information is hard. Now in this world of AI [artificial
intelligence] and machine learning, organizations are thinking about how to mine
that data for insight and pushing hard to get really useful information out of it.
Most organizations are gathering and attempting to use increasing volumes of
internal and external data, but some are doing that much more effectively than
others, a recent survey by Harvard Business Review Analytic Services found. Onethird of the 311 survey respondents have shown themselves to be data-to-value
leaders (“leaders”), as they say their organizations are very effective at harnessing
data to create new business value. More than 95% of these leaders have a clear
enterprise strategy for managing and extracting value from their data, and for
collecting and incorporating external sources of data, versus less than 60% of all
other respondents. As a result, these leaders are more connected, more up to date,
and more intelligent.
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