Data-driven decision-making, including greater accuracy, precision, efficiency, and responsibility in the use of data. Fuel rapid innovation through faster iterative learning – fail fast, learn faster, execute smarter.

1. SOCIAL BIG DATA FOR
SERVICE
s. ghosh
nbu

2. BIG DATA BENEFITS
• data-driven decision making, including
greater accuracy, precision, efficiency ,
and responsibility in the use of data.
• fuel rapid innovation through faster
iterative learning – fail fast, learn faster,
execute smarter.
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3. RISK ?
• From data breaches to WikiLeaks and
instances of data hacking. This has given
rise to growing attention to the
application and implications of Big Data,
not just within the context of the
business world, but within social
contexts as well.
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4. RISK ?
• Cathy O’Neil, former Director of the
Lead Program in Data Practices at
Columbia University Graduate School of
Journalism and a Ph.D. mathematician
from Harvard University . In her new
book, Weapons of Math Destruction:
How Big Data Increases Inequality and
Threatens Democracy, O’Neil writes
“Big Data has plenty of evangelists, but
I’m not one of them”,
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5. Application
• Emmanuel (Manu) Letouze in 2013 by
the Harvard Humanitarian Initiative,
MIT Media Lab, and Overseas
Development Institute. Letouze’
research and work focuses on Big Data’s
application and implications in areas
including poverty and inequality, crime,
climate change, human rights, and
economic and ecological fragility. His
mission in launching Data-Pop has been
to help foster what he refers to as a
“People-Centered Big Data Revolution.”
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6. SOCIAL IMPACT
• Shrier became interested in the
social impact of Big Data, in his words,
“so he could explain to his young
daughter the work that he does and the
difference that it makes.”
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7. • Kerry, Shrier, and Letouze share a
common viewpoint that Big Data can be
harnessed to help address social
problems of hunger, disease, poverty ,
and social inequity. And, when asked
why anyone not directly impacted b y
these issues should care, they respond
in unison and with great eloquence that
these issues have an economic and
social impact on every citizen. They
envision a future where Big Data can be
applied to arrange of societal issues to
help forge a more prosperous, safer, and
healthier planet for future generations.
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8. • Why Data Is Big Data, or individual
pieces of information, have been
gathered and used throughout history.
including age, gender, number of people
in the household, ethnicity, birth date,
marital status, occupation, health
status, literacy, and place of origin.
• All of this information was logged by
hand, microfilmed, and sent to be
stored in state archives, libraries, and
universities. It took seven to eight years
to properly tabulate census data after
the initial collection.
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9. SEVEN –V’s
• Volume: considers the amount of data
generated and collected.
• Velocity: refers to the speed at which
data are analyzed.
• Variety: indicates the diversity of the
types of data that are collected.
• Viscosity: measures the resistance to
flow of data.
• Variability: measures the unpredictable
rate of flow and types.
• Veracity: measures the biases, noise,
abnormality, and reliability in datasets.
• Volatility: indicates how long data are
valid and should be stored.
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10. SOCIAL BIG
DATA
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11. BIG SOCIAL DATA
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12. BIG SOCIAL DATA
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