The document discusses various current and future uses of big data across multiple sectors, including healthcare, education, marketing, and telecommunications. It highlights how data analytics can improve epidemic monitoring, personalize marketing campaigns, and optimize operational efficiency while also addressing the ethical implications of privacy and confidentiality. Additionally, it mentions examples such as IBM's predictive solution for premature babies and academic institutions using data to track at-risk students.

1. December
2014
10 current & future uses

2. TechPresident: http://bit.ly/1pQ0r0e
Using cell phone information analytics, a country’s
traffic patterns can be overlaid with past Ebola
outbreaks to follow the growth of the virus.
1. Hunting down Ebola

3. Image: The Guardian: http://bit.ly/1vDA5ea
IBM and the University of the Ontario Institute of
Technology have been working on a data analysis and
predictive solution to monitor premature babies.
Biomedical readings can detect life threatening infections
up to 24 hours before they would normally be observed.
2. Preventing deadly conditions
Source: IBM http://ibm.co/1zTLx8R

4. Computerworld: http://bit.ly/1wSfc3m
Data analysis can be used for personalized
campaigns which aim to encourage consumers
to try new products, increase consumption and
stay loyal to brands and retailers.
3. Personalizing sales campaigns
Combining mobile, online and in-store
customer data, Catalina Marketing
developed a customer-loyalty
database, featuring hundreds of
millions of shoppers.
Source of Image: http://bit.ly/1104JWL

5. Fastcoexist: http://bit.ly/1qktKRt
A Finnish company installed
5,000 sensors in garbage
cans to alert collection
companies when containers
are nearing full capacity.
This saved 40% of otherwise
wasted fuel on needless
garbage collection rounds.
4. Saving wasted fuel
on garbage collection

6. By mining data from
Student Information
Systems (SIS) and
Course Management
Systems (CMS),
academic institutions
like Purdue University
in Indiana, can
provide faculty staff
with:
5. Optimizing learning in
Higher Education
Knowledge Management and e-Learning: http://bit.ly/1GREbrG
Information
Learning
habits
At-risk learners
and their
weaknesses
Recommendations
Improvement
actions
Assistive
intervention
programs

7. A 17-year old crowdsourcing specialist in the USA offers
translation, testing and other professional services to
enterprise clients in 22 countries utilizing the services of
some 150,000 "crowd workers" worldwide.
Information week: http://ubm.io/1u0VjVt
In a big data crowdsourcing model, tasks can be distributed
to workers all over the world to complete quickly and with
high quality, at a much lower cost.
6. Accelerating work
at a lower cost
Source of Image: http://bit.ly/1wqNp68

8. Datameer: http://bit.ly/1yBN7vu
Telecoms providers can analyze data sources to decide
on which cell towers to upgrade to 4G and which not.
By doing this, one leading telecoms provider was
able to save $100 million in upgrade costs.
7. Improving efficiency
of telecom industries
Source of Image: http://bit.ly/11kirVB

9. Big Data Startups: http://bit.ly/1GOeBnw
Using sensors in cars,
machines and trucks -
combined with the schedule
of the project as well as
traffic information and
routing - algorithms can
determine the best routings
to optimize efficiency at a
construction site.
8. Better organized
construction sites
Source of Image: http://bit.ly/1GRWxZQ

10. The Economist: http://bit.ly/11k7naY
Combining crowd-sourced
information about traffic and
digital maps, Waze can edit
maps, send alerts and
provide suggestions related
to speed cameras, road
construction and accidents.
This can save millions of
commuters’ hours
and tons of CO2.
9. Saving commuters
time and money
Source of Image: http://bit.ly/1126x1z

11. During India's 16th national election (in early 2014),
parties actively used big data analysis to connect with
voters, raise funds, rework advertisements and create
detailed models for voter engagement in swing states.
10. Connecting with voters
CNBC http://cnb.cx/10Y1NKl

12. Potential Impacts
Implications for Health
 Outbreak of epidemic diseases
monitored & controlled
 Deadly conditions prevented
Implications for Education
 At-risk students tracked/supported
 Better understanding of learning
habits
Implications for Marketing
 Personalized campaigns
 Wider outreach to clients
Ethical Implications
 Big data makes it challenging
to protect individual privacy
 Confidentiality of institutional
information also a factor
Implications on Industry
 Reduced costs for operational tasks
 Accelerated mode of work
 Information-based decision making

13. Big Data, Big Impact: New Possibilities for International Development
published by the World Economic Forum
Big data: The next frontier for innovation, competition, and productivity
published by McKinsey Global Institute
Hunting and Harvesting in a Digital World Published by Gartner
Executive Program
BIG DATA: Seizing Opportunities and preserving values published by
the White House (Office of the President)
Worldwide Big Data Technology and Services 2014–2018 Forecast
published by IDC
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14. Disclaimer: All content in these slides is in the public domain and referenced so that you can read the original sources.
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