1.
How
Big
Data
is Changing the
World

2.
What is
Big
Data

3.
First we must understand
what data is…
Data - factual information used as a
basis for reasoning, discussion, or
calculation

4.
Companies have amassed
enormous amounts of data
such as..
-social media activity
-financial transactions
-location tracking
-web behavior

5.
In contrast to traditional
data, big data varies in
terms of the three v’s.
Volume – the amount of data
Velocity – how quickly data can be made
available for analysis
Variety – the different types of structured
and unstructured data

6.
“Big Data” is used to
describe vast amounts of
information. Most
professionals in the industry
consider multiple terabytes
or petabytes to be the
current big data benchmark.

7.
No Fear…
Data
Scientists
Are Here!

8.
Data Scientists are professionals who possess deep
analytical talent and can make sense of Big Data.
Most are educated in data management and have
strong backgrounds in mathematics or statistics.
Many have trained to become certified in business
intelligence, allowing them to creatively develop
business solutions.
Villanova University has a plethora of articles on
business intelligence:
http://www.villanovau.com/university-online-
programs/#business intelligence

9.
Big Data
Benefits

10.
Companies
RunSmoothly
N.d. Photograph. n.p. Web. 20 Jun 2013. <http://www.complex.com/style/2013/02/the-50-most-stylish-actors-of-all-time/james-dean>.

11.
Increased
Revenue

12.
Improved
Marketing

13.
Barnes &
Noble, Inc.
A Case Study

14.
The Scenario:
With the advent of e-books and online book
sales, Barnes & Noble needed a way to
improve the in-store experience and to make
the right merchandising decisions.
The Problem:
Millions of SKUs to keep track of and the
data was insurmountable. Barnes and Noble
had a “Big Data” problem.

15.
The Solution:
With the help of IBM and Big Data
analysis, Barnes & Nobles can now look at
customer trends and provide feedback to its
publishers. Merchandising and planning
employees now have the insight to make
stocking and promotional decisions in real time.
Big Data analysis allowed B & N to translate
their data into actual customer reading
patterns, which allowed them to make
optimized inventory decisions that directly
resulted in revenue opportunities.

16.
The results:
• Reduced the time required to run analytical
queries by more than 95 percent
• Reduced employee time required to
administer the business intelligence solution
by more than 70 percent
• Improved publishers’ ability to understand
and react to market trends, optimize print
runs and reduce the cost of unsold book
inventory
• Enabled the company to optimize its

17.
Big Data In
The
Future

18.
The Big Data trend is not a phase.
It is estimated that Big Data will be a $16.9
billion industry by 2015 and $50 billion by
2017.
The enormous growth in the Big Data
industry will create thousands of jobs for
business intelligence professionals.
However, experts believe that the us alone
could face a shortage of 140,000 – 190,000
people with business intelligence
capabilities.

19.
The End

20.
Sources
• http://wikibon.org/wiki/v/Big_Data_Market_Size_and_Ve
ndor_Revenues
• http://www.villanovau.com/university-online-
programs/what-is-big-data/
• http://www-
01.ibm.com/software/success/cssdb.nsf/CS/JHUD-
92JRDT?OpenDocument&Site=default&cty=en_us
• http://www.mckinsey.com/insights/business_technology/
big_data_the_next_frontier_for_innovation