Dark Data
Dark
data is digital information that is not being used. Consulting and market
research company Gartner Inc. describes dark data as "information assets
that an organization collects, processes and stores in the course of its
regular business activity, but generally fails to use for other purposes."
Many times, an organization may leave
data dark for practical reasons. The data may be dirty and by the time it can
be scrubbed, the information may be too old to be useful. In such a scenario,
records may contain incomplete or outdated data, be parsed incorrectly or be
stored in file formats or on devices that have become obsolete.
Increasingly, the term dark data is
being associated with big data and operational data. Examples include server
log files that could provide clues to website visitor behavior, customer call
detail records that incorporate unstructured consumer sentiment data and mobile
geolocation data that could reveal traffic patterns that would help with
business planning.
Potentially, this type of dark data
can be used to drive new revenue sources, eliminate waste and reduce costs. As
a result, many organizations that store dark data for regulatory compliance
purposes are using Hadoop to identify useful dark bits and map them to
possible business uses.
Regards
Pralhad
Jadhav
Senior Manager @
Knowledge Repository
Khaitan &
Co
Twitter Handle | @Pralhad161978
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