Nucleus Research found that organizations can earn an incremental ROI of 241% by using big data capabilities to analyze large, complex datasets from multiple sources. Analyzing more types of internal and external data, like social media, allows companies to improve business processes and decisions. High returns also come from monitoring external factors that impact the company. There are four stages of becoming an "Analytic Enterprise" - automated, tactical, strategic, and extended. Extended deployments that leverage big data across the organization achieve the highest ROI of 968% by aligning daily operations with strategic goals.
Nucleus Research Finds 241% ROI Boost from Big Data
1. Nucleus Research Inc.
NucleusResearch.com
Corporate Headquarters
Nucleus Research Inc.
100 State Street
Boston, MA 02109
Phone: +1 617.720.2000
THE BOTTOM LINE
Nucleus found organizations can earn an incremental ROI of 241 percent
by using Big Data capabilities to examine large and complex data sets.
One driver of high returns on Big Data was the ability to improve business
processes and decisions by increasing the types of data that can be
analyzed. Another driver of high returns was the ability to monitor the
factors that impact a company, such as customer sentiment, by scouring
large external data sources such as social media sites.
Nucleus has determined that enterprises increased their average ROI on analytics
by 241 percent when they used Big Data to become a more Analytic Enterprise. An
Analytic Enterprise is an organization that improves its competitiveness and
operating results by continuously expanding its use of analytics (Nucleus Research
m17 – The stages of an Analytic Enterprise, February 2012). There are four stages
in the evolution of an Analytic Enterprise, and Big Data plays an important role in
this evolution.
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600%
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1000%
1200%
1400%
Automated Tactical Strategic Extended
Return on Investment
Extended
Strategic
Tactical
Automated
Enterprises with strategic deployments earn an average ROI of 968 percent by
deploying analytics across most of the organization and using this technology to
align daily operations with senior management’s goals. Extended deployments
achieve higher returns by tapping into what is commonly referred to as “Big Data,”
data sources that are large, contain a broad variety of data sets, and change
RESEARCH NOTE
THE BIG RETURNS FROM BIG DATA
March 2012 M20Document