Hig h - P erform a nc e A na ly tic s Orga n izat ion
At HP, our belief is that big data analytics impacts analytics in two ways: 1. helping answer existing/legacy questions in
newer ways and, 2. addressing a range of
newer questions and decisions organizations face today.
An example of the existing/legacy
question is the area of segmentation, a
well-understood area in marketing and
customer analytics. The challenge for
most business analytics teams, though,
is to look at segmentation with the fresh
lens of big data analytics: How can big
data help make segmentation better?
Examples of how big data analytics
can help address new questions is perhaps best exemplified when considering
either social media analytics or machine/
sensor data analytics. These diverse areas are important aspects in business decision-making and impact such functions
as marketing, manufacturing, customer
service and R&D. Both require new analytical approaches to manage the large
streams of data that get generated.
Summary
To realize value from big data analytics,
organizations need to integrate technology,
tools and practices with existing analytics
ecosystems. The choices to make in terms
of which tools to select and which skills to develop need careful consideration and have
a long-term impact on an organization’s
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ability to integrate big data analytics.
Analytics organizations should start
by considering four key questions:
1. What technology and tools are
needed?
2. What platform is best for i