Numerous opportunities, as well as
challenges, are associated with big data.
Time savings can be achieved through
real-time monitoring and forecasting of
events that impact either business performance or operation. Significant cost
savings over traditional analytical techniques can be achieved by adoption of
big data due to usage of Hadoop clusters.
While companies with business models predicated on the Internet have been
the pioneers of developing big data analytics, other firms with more established
non-Internet-based models are also rapidly adopting big data analytics practices,
typically in response to consumer and
technology trends. With the emphatic big
data explosion, it becomes imperative for
organizations to assess and adopt big
data analytics practices into their decision-making process.
Big Data Tools and
Technologies
When considering an organization’s
needs for big data tools and technologies, it
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June 14 - June 17, 2015
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http://meetings2.informs.org/montreal2015
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