Paper Overview - Every day, we create 2.5 quintillion bytes of data — so much that 90% of the data in the world today has been created in the last two years alone. Data comes from everywhere and we are generating data more than ever before. This white paper will explain what Big Data is and provide practical examples, concluding with a message how to put data your data to work.

1. Thriving in the Big
Data era Manage
Data before Data
Manages you

2. Every day, we create 2.5 quintillion bytes of data — so
much that 90% of the data in the world today has
been created in the last two years alone.
Data comes from everywhere and we are generating
data more than ever before.
This white paper will explain what Big Data is and
provide practical examples, concluding with a
message how to put data your data to work.
PAPER OVERVIEW

3. This white paper is sponsored and
presented by Intellectyx

4. What is Big Data?
Well, what is Big Data? Is it something big regarding data size? The term seems to be a bit of misnomer
given the word "Big" seems to simply that the challenge is primarily in terms of data size. In short, Big Data
applies to information that cannot be processed or analyzed using traditional processes or tools.

5. Let's review on a high level, the
four Vs of Big Data - Velocity,
Volume, Variety and Variability

6. Volume
We are producing more that Twitter users average over 100,000 tweets per minute, 2 million searches are
performed in Google per minute, online shoppers spend an average of $272,070 every minute of slowing,
the data keeps growing. The data is real and wherever they go – whether a hospital visit for pick up,
shopping via an online ecommerce site for a loved one's birthday or broadcasting your mood via a social
site.

7. Velocity
In a real time world, where everything is needed and actions happen in micro seconds, businesses are
challenged more than ever before to consume, process streams of data and turn them into meaningful
actions in a fraction of seconds.

8. Variety
Companies are not only generating high volumes of data faster but also storing in different types of format
– such as images, text, and numbers.

9. Big Data is a big deal or big hype?

10. Big Data a big hype
Before we further deep dive into Big Data, let's try to clarify one common question that revolves lately in
the technology space around "Is Big Data a big hype?”
Below is a Gartner's 2012 hype cycle,
which purports to "highlight the
common pattern of over enthusiasm,
disillusionment and eventual realism
that accompany each new technology
and innovation".

11. Practical applications
Fraud detection in any
sort of claim
Social media analytics
using twitter feeds,
Facebook / blog posts
etc
Monitor efficiency and
optimizes processes in
Call centers
Derive insights from a
variety of healthcare
data
Drug manufacturers
targets pharmaceutical
testing for patients with
specific genetic markers
Improving marketing
and sales performance
through analytics
Exploitation and fusion
of geospatial, temporal
and sensor data
Customer experience
optimization

12. Big Data solution?
Big Data solutions are ideal for
analyzing not only raw
unstructured data but also
semi structured and
unstructured from a wide
variety of sources
Big Data solutions are ideal
when all or majority of data
needs to be analyzed
Big Data solutions are ideal for
iterative and exploratory
analysis when business
measures are not determined
Big Data solutions are not a
replacement for a traditional
data warehouse solutions
Big Data is well suited for
solving challenges that doesn't
naturally fit within a
traditional relational database
approach

13. Conclusion

14. Conclusion
Today a successful company is not measured by the data that is produced or stored. Gone are the days
where companies boast how much data is being stored or generated in terabytes or zettabytes. Today,
really successful companies are determined by their ability to put data to work - meaning analyze data and
generate valuable insights and optimize their actions based on those insights.

16. Download Whitepaper
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