THE DATA E C O N OMY
Why do so many
analytics projects fail?
Key considerations for deep analytics on big data,
learning and insights.
BY (l-r) HALUK DEMIRKAN AND BULENT DAL
W
hat is big data? Big data,
which means many things
to many people, is not a
new technological fad. In
addition to providing innovative solutions and operational insights to enduring challenges and opportunities, big
data with deep analytics instigate new
ways to transform processes, organizations, entire industries and even society. Pushing the boundaries of deep
data analytics uncovers new insights
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A N A LY T I C S - M A G A Z I N E . O R G
and opportunities, and “big” depends on
where you start and h ow you proceed.
Big data is not just “big.” The exponentially growing volume of data is only
one of many characteristics that are often associated with big data, such as
variety, velocity, veracity and others (the
six Vs; see box).
According to Gartner Research, the
worldwide market for analytics will remain the top focus for CIOs through
2017 [1]. According to research [2],
W W W. I N F O R M S . O R G