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Big Data

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by

Tinghao Yi

on 16 October 2014

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Transcript of Big Data

The Drawback of Big Data
The difficulty of visualization
The Drawback of Big Data
Conclusion
Big Data Applications
Public Health
House of Cards
3 Emmy Awards and 9 nominations
What is big data
Public Health Application
A spike in Google search requests
for flu treatment
Big Data is a good concept
“Big data is like teenage sex: everyone talks about it, nobody really knows how to do it, everyone thinks everyone else is doing it, so everyone claims they are doing it.”

–Dan Ariely
“Big data” refers to datasets whose size is beyond the ability of typical database
software tools to capture, store, manage, and analyze(MGI,2011).
Volume: Scale of Data
Veracity: Uncertainty of Data
Variety: Different Forms of Data
Velocity: Speed of Streaming Data
2.3 trillion gigabytes of data created every day
more than doubling every two years
High speed of data creation
High speed of data analysis
Video
Social Networks
Images&Sounds
Accuracy
Timeliness
Low Value
Decision Making
Marketing Research
Public Security
An increase in flu patients
Four weeks earlier than normal
emergency disease reports
Netflix- A streaming media
More than 33millions users
Collect the behavior of viewers
including: pause, rewind, fast
forward and search
The Factors Netflix Analysed
The actors
The director& producer
The images and sound volume
The plot
David Fincher
Kevin Spacey
Political drama
The unequal value of data
The Inaccuracy of big data
The difficulty of visualization
The difficulty of visualization
The unequal value of data
I want to buy a car as your birthday gift
X100
The Inaccuracy of big data
Inaccuracy of words

The Butterfly Effect(chaos)
The high expense of big data
Cloud computing
Data security
$6 million for a high-dimensional data
set computing system
The Benefits of Big Data
A new scope of problem analysis
A efficient decision-making strategy
A proper method for current trend
The difficulty of visualization
The unequal value of data
The Inaccuracy of big data
Immature technology
Big Data is not good enough for application
due to the immature technology
——A concept which is difficult to apply
Outline
1. A brief introduction of big data

2. Current application of big data
3. The potential drawbacks of big
data
4. Discussion& conclusion
Reference
Big Data
A Discussion about Big Data
Presented by Eric Yi
1.Lohr, S 2012, “The age of big data”.
The New York Times
, Feb 12, p.1(L)
2. Boyd, D& Crawford, K 2011 critical question for big data: provocations for a cultural, technological, and scholar phenomenon. Information, Communication & Society, 2012, Vol.15(5), p.662-679
3.McAfee, A& Brynjolfsson, E 2012 Big data: the management revolution, Harvard business review,90(10): PP.60-66.
4.Trelles, O, Prins, P, Snir, M & Jansen, R.C. 2011, "Big data, but are we ready?", Nature Reviews: Genetics, vol. 12, no. 3, pp. 224.
5.Mahrt, M & Scharkow, M 2013, 'The Value of Big Data in Digital Media Research',
Journal Of Broadcasting & Electronic Media
, 57, 1, pp. 20-33


6.Manyika, J, Chui, M, Brown, B, Bughin, J, Dobbs, R, Roxburgh, C, & Byers, A. H. 2011. Big data: The next frontier for innovation, competition, and productivity.
7.Bughin, J, Chui, M, & Manyika, J (2010). Clouds, big data, and smart assets: Ten tech-enabled business trends to watch.
McKinsey Quarterly
, 56(1), 75-86.
Discussion
1. How do you like your behavior analyzed by others without your
permission?


2. Big data = better data ?

3. Suppose you are a decision-maker, would you like to make a decision only based on data analysis.
Full transcript