The document discusses the importance of adopting big data analytics. It notes that huge amounts of data exist but are difficult to manage and analyze using traditional methods. While many organizations are exploring big data, few have fully implemented strategies. To extract value from big data, organizations need tools to explore and analyze it beyond just storage. Automated tools will become increasingly important to sift through large datasets and identify useful patterns and opportunities. Adopting analytics can help businesses personalize customer experiences and make data-driven decisions. While big data progress was made in 2013, widespread adoption is still needed, especially to transform businesses.

1. www.ken
scio.com
Why adoption of Big Data Analytics is important more than ever in 2014?
By Sagar Patil (Product Head @ Kenscio)

2. Big Data
•
Huge amount of data
exist in Digital Universe
today
•
Managing huge database
that can generate only
contextual and relevant
data are impossible to do
in traditional way
•
Poor data management
leads to huge costs
•
Only Automated tools
can help in condensing
huge data that can
deliver informative
results

3. Taming Big Data
•
According to report, 2.7
Zetabytes of data exist in
the digital universe today
•
Facebook stores, accesses,
and analyzes 30+
Petabytes of user
generated data
•
The rapid growth of
unstructured data like
YouTube users uploading
48 hours of new video
every minute
•
Poor data across
businesses and the
government costs the U.S.
economy $3.1 trillion
dollars a year

4. Key Facts about Big Data:
•
•
Despite industry hype,
most organizations are
yet to develop,
implement or execute a
Big Data strategy
A survey found that 12
percent of organizations
are currently
implementing or
executing a big data
strategy while 40% of
them are still
considering / exploring
Big Data.
4
Big Data Adoption Stage Distribution
9%
12%
5%
23%
11%
Implementing/Executing
Testing
Planning
Considering/Exploring
40%
Not Considering
Don’t Know
Fig 1 (Source - sas.com): Which of the following best describes your organization’s stage in using
external big data to help make business decisions?

5. 5
Capturing and Storing Is Only the Beginning
•
Only storing and
capturing big data do not
make it valuable
•
Additional tools are
needed to explore and
analyze it
•
It’s all about “not
knowing what you don’t
know.”

6. Making Big Data Relevant for Business
Orders:
•
To harness that
power, organizations must
hire data scientists, craft
complex algorithms, and
make massive investments
in infrastructure and
software
•
Data’s value can be
unleashed for business
users by condensing it and
intelligently presenting
only what
is relevant and contextual
to the problem at hand.
•
Analytical experts have got
bigger role to play for
business growth
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7. 7
More analytics, fewer Gut feelings
•
Ecommerce companies will
grow increasingly by
focusing on data and
willing to apply analyticsderived insights to key
business operations
•
Intuitive decision-making
will diminish somewhat as
companies infuse analytics
into everything that
customer touch
•
Data analytics will be the
driver for capturing more
customers, upselling to
existing customers and
retaining them for the long
term

8. The need for automated tools will become
increasingly critical
•
"It seems that the more
data we have, the more
we want".
•
As data volumes
increase, the need for
pattern
matching, simulation, and
predictive analytics
technologies become more
crucial
•
Engines that can
automatically sift through
the growing mass of
data, identify issues or
opportunities, and even
take automated action to
capitalize on those
findings will be a
necessity.
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9. Offer Personalization and Customization
•
Business will increasingly
try to bring on
personalization and
customization to both
onsite and marketing
creative.
•
Taking on this challenge
means that the retailer’s
marketing department will
need to collect meaningful
information about what
interest shoppers and
organize separate, custom
campaigns around those
interests.
•
Big data thus will become
an important factor in
creating a competitive
advantage for intelligent
business entities
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10. Summary
•
Personalization and
customization could be a
significant competitive
advantage in 2014.
•
Big data made substantial
progress in
2013, especially with
respect to business
stakeholder engagement in
the topic.
•
But we have yet to drive
widespread adoption of big
data, especially from a
business transformation
perspective. 2014 seems
like the right time to make
that happen.
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