The document discusses big data and predictive analytics. It defines big data as the vast amount of data being created every day from various sources, noting that 90% of data in the world was created in the last two years. Predictive analytics is described as using data from the past to predict future outcomes. The document provides examples of how organizations like Netflix, Google, and the Obama campaign have successfully used big data and predictive analytics to gain insights and make better decisions.

1. BIG DATA
Predictive Analytics

3. Predictive
Analytics

4. The ability to
collect and use
data to
generate
insights that
inform Fact
Based Decision
Making

5. How can predictive analytics
help within my organization?

6. Using validated DATA
from the past to predict
the future or an output

7. PREDICTIVE
ANALYTICS
(The World of DATAFICATION)
Gives us unprecedented opportunities
to transform our facility and impact
our KPI’s

8. What is
BIG DATA?

9. “Every day, we create 2.5 quintillion
bytes of data”
Storage.com
Equivalent to 57.5 billion 32 GB iPads
This is “BIG DATA”

10. 90% of the data in the world today has been
created in the last two years alone. This data
comes from everywhere: sensors used to
gather climate information, posts to social
media sites, digital pictures and videos,
purchase transaction records, and cell phone
GPS signals to name a few.
IBM.com
Welcome to the world of
DATAFICATION

11. Data Collected in 60 Seconds
694,445
Google Search Queries
20,000+
NEW POSTS
ON TUMBLR
12,000+
New Ads on Craigslist
695,000
Facebook Updates
168 Million
Emails Sent
98,000+
Tweets

12. POLITICS
2012 Obama Campaign
Data Mining
The Obama Campaign changed the way Big
Data could be used in predictive modeling for
voters in critical counties throughout the
country

13. Source - Time Magazine/MIT Review
When Jim Messina
arrived in Chicago
as Obama’s newly
minted campaign
manager in
January of 2011,
he imposed a
mandate on his
recruits: they were
to make decisions
based on
measurable data.
As one official put it,
the time of “guys
sitting in a back
room smoking cigars,
saying ‘We always
buy 60 Minutes’” is
over. In politics, the
era of big data has
arrived.
“Micro
Targeting”

14. What Does
BIG DATA
Look Like

16. 1.8 Billion
Payment cards
in the USFederal Reserve Payment Studies, 2013
$1.4 Trillion
transactions in
the US in 2012Federal Reserve Payment Studies, 2013
Processing
10k
transactions
per second
worldwide

17. Netflix
Google
Amazon
Wal-Mart
NSA

18. The Three V’s of BIG
DATA

19. BIG DATA
is Big and Messy

20. Not all
BIG DATA
is useful

22. The challenge is
putting BIG DATA
in a format the end
user understands

23. CLOUD or
IN HOUSE

24. Utilize and
mine all
important
DATA

25. Do What You Can,
With What You’ve Got,
Where You’re At,
Right Now!

26. I WANT TO BELIEVE

27. Tim Tate
Quality and Continuous Improvement Manager
ttate@kysorpanel.com
Kysor Panel Systems
521 Industrial Park Road, Piney Flats, TN 37686
T 423.538.0900 Ext.108 • Fax 423.538.0909
Cell 817.709.1214 • www.kysorpanel.com