Big Data Analytics Dive Deep

Making sense of big data

New analysis tools and abundant processing power unlock critical insights from
unfathomable volumes of corporate and external data

The use cases are limited only by
the imagination:

* A bank visualizes patterns within data and documents
that determine the likelihood of fraud and
can take corrective action before the business is
impacted.

* Doctors determine patterns of treatment of diseases
that provide the most desirable outcomes
using 20 years of historical data from more than
30 different data sources.

* Auto manufacturers see the core cause of
production delays, and perhaps attach these
analytics to business processes to automatically
take corrective action, such as leveraging different
logistical approaches.

* The utility industry creates predictive models
of consumer markets by deploying technologies
such as a smart grid.

With the proper data visualization on top, big data can
shortcut the usual process of business analytics, where
stakeholders pass requirements to analytics professionals
who create static reports and hand them back over
the transom. Big data visualization — even a simple tag
cloud — enables those with domain expertise to develop
a more direct relationship with the data and spot patterns
that an analytics professional might miss.

By David S. Linthicum

Full Report: http://resources.idgenterprise.com/original/AST-0073561_big_data_ibm_v2.pdf

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Inteneo Systems – http://www.inteneosystems.com 406-531-8119