Hey Ted Rogers and Ryerson Engineering students! Big Data and Analytics are the most important development of our times. Institutions like the Harvard Business Review, experts, like the Chief Economist at Google, Dr. Hal Varian, and institutions, believe data analysts will be the most sought after specialists. This raises the question: Are we trained to take up positions in the emerging and fast transforming field of Big data and Analytics? Uses of Big Data and Analytics include: Computer Engineering, Marketing, Finance, Software Engineering, Pharmaceuticals, Human Resources, Real Estate, Transport Engineering, Genetics, Supply Chain, Energy, Health, Traffic, Crime, Sports, Music, and more. We are proposing to create a new Big Data Zone at Ryerson University to: enhance collaboration between business and engineering students, bridge the gap in our training, develop connections with companies in the industry and incubate startups. We need to know from you if you have interest have in Big Data and Analytics. We invite you to take our survey. Here is the link: http://goo.gl/forms/ZDDD9nKcMS. It will take fewer than 3 minutes. Your name will be entered in a raffle for two iPads.

2. https://hbr.org/2012/10/data-scientist-
the-sexiest-job-of-the-21st-century/

3. Big Data Startup Billionaires
http://www.forbes.com/sites/bernardmarr/2015/03/10/m
eet-7-brand-new-big-data-billionaires/

4. Ryerson’s Current Initiatives
• Ryerson’s study on Canada’s Big Data
Talent Gap
– http://www.ryerson.ca/provost/partnerships/talentgap.html
• Privacy & Big Data Institute
– http://www.ryerson.ca/pbdi/

5. Ryerson’s Current Initiatives
• The Big Data Consortium, in partnership
w/ Deloitte, TMX, Dalhousie U, etc
– http://www.ryerson.ca/news/media/General_Public/20150420_mr_ta
lentgap.html

6. Ryerson’s Current Initiatives
• Chang School’s Big Data & Advanced
Analytics Certificate
– http://ce-online.ryerson.ca/ce/default.aspx?id=3635
• IBM’s Watson  2nd school in Canada
– http://ryerson.ca/ryersontoday/data/news/2014/12/20141215-
ryerson-students-to-put-ibm-watson-to-work-in-big-data.html

7. What is Big Data?
• Big Data: a term for large and complex
data sets that traditional data processing
applications are inadequate
• Characteristics of Big Data:
- Volume
- Variety
- Velocity
- Variability
- Veracity
- Complexity

8. Why Big Data?
• Inexpensive computing power + vast amounts
of digital storage = large volumes of data ready
to accurately re-tell the past, predict the future
• McKinsey report: USA alone, has a shortage of
1.5 M professionals w/ Big Data skills
• 40% of companies  unprepared for Big Data

9. Applications of Big Data
• Computer Engineering
– http://www.engr.wisc.edu/news/archive/2015/March6.html
• Marketing
– http://www.inc.com/mick-hollison/5-ways-big-data-will-change-sales-
and-marketing-in-2015.html
• Finance
– http://www.investopedia.com/articles/active-trading/040915/how-big-
data-has-changed-finance.asp
• Pharmaceuticals
– http://www.mckinsey.com/insights/health_systems_and_services/how
_big_data_can_revolutionize_pharmaceutical_r_and_d
• Software Engineering
– http://blog.sei.cmu.edu/post.cfm/challenges-big-data-294

10. Applications of Big Data
• Human Resources
– http://www.citeworld.com/article/2137364/big-data-analytics/how-hr-
analytics-can-transform-the-workplace.html
• Genetics
– http://www.datanami.com/2015/05/07/what-police-can-learn-from-deep-
learning/?utm_source=rss&utm_medium=rss&utm_campaign=what-police-
can-learn-from-deep-
• Real Estate
– http://www.forbes.com/sites/modeledbehavior/2014/05/19/how-smart-
houses-and-big-data-will-change-real-estate-economics/
• Energy
– http://www.wsj.com/articles/big-data-cuts-buildings-energy-use-1411937794
• Sports
– http://www.thestar.com/sports/hockey/2015/04/03/focus-on-numbers-is-an-
attempt-to-end-leafs-ice-follies-cox.html?referrer=

11. Big Data Startups and
Incubators
Data Incubator partnered with
Ryerson University
http://www.oneeleven.co/
Data Incubation Bootcamp
based in the United States
https://www.thedataincubator.
com/
DMZ Startup
applying Big Data to
utilities
https://dmz.ryerson.
ca/team/gridcure/
DMZ Startup using
data analytics in
distributing samples
https://dmz.ryerson.
ca/team/sampler/
DMZ Startup specializing in
collection and analysis of data
from physical spaces, like traffic
optimization
http://www.thestar.com/news/city_
hall/2015/04/07/john-tory-wants-to-
use-data-to-ease-congestion.html

12. Educational Enhancement
• Collaboration:
– Engineering  Software, computer, mechanical
– Computer science  Programming, algorithms
– Mathematics  Data scientists, “quants”
– Business  Analysis, decision making efficiency
• Events:
– Hackathons
– Startup competitions
– Case competitions
– Industry speakers/workshops + networking
– Conference (first ever in Canada?)

13. Return on Investment
• 40% of businesses not ready for Big Data.
Ryerson develops the skills  students hired
 reputation/alumni of Ryerson is enhanced
• Collaboration b/t math engineering & business
 leading to startups?
• Target corporate partners to facilitate hiring:

14. Ryerson = Innovation
• Chang School’s Big Data program = 1st in
Canada
• Watson  2nd CDN university to receive
• = #1 in CAN, #5 in World
• = One of the 1st in Canada
• = 1st in Canada?

15. More Information
Email:
president@rcsonline.ca