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The Data Effect
Canadian Big Data & Analytics Update
Dr. Alison Brooks, Director Public Sector Research IDC Canada
April 17, 2013

2. © 2012 IDC
IDC’s Digital Universe Study
2

3. © 2012 IDC
Impact of the Digital Universe on IT
Average number of servers will
increase by 10X by 2020
3
Information managed by enterprises
will grow by 14X by 2020
The # of IT professionals is expected
to grow by only 1.5x by 2020

4. © 2012 IDC
IDC’s Digital Universe Study
4

5. © 2012 IDC
Four Pillars and the Growing Significance of
“The 3rd Platform”
Mainframe Terminal
LAN/Internet Client/Server

6. © 2012 IDC
Which technology will transform your
business in the next 5 years?

7. © 2012 IDC
What Is Big Data?
IDC's definition of Big Data
technologies describes a
new generation of
technologies and
architectures designed to
economically extract value
from very large volumes of
a wide variety of data by
enabling high-velocity
capture, discovery, and/or
analysis.

8. © 2012 IDC
Big Data Spend by Category –
$6.8B WW in 2012, 39% CAGR
3%
14%
12%
30%
41%
Networking
Servers
Storage
Software
Services

9. © 2012 IDC
Big Data – 60%
• 40%+ CAGR to 2015 –
reaching $17B WW
according to IDC
• Smaller Cdn opportunity ->
under $300M by 2015
• Growth in large Finance,
Telcos, Research and
Public Sector
IDC Definition

10. © 2012 IDC
The Four V’s of Big Data
Volume
Velocity
Variety
Value

11. © 2012 IDC
The four horsemen of the infopocalypse
PB, EB, ZB, YB
Transactions
Event logs
File systems
Batch processing
Near-real time
Real time
Streaming
Databases
Event logs
Sensor acquisitions
Audio, Video

12. © 2012 IDC
Big Data Domains
1. Risk management
2. Machine to machine analytics
3. Marketing optimization
4. Data discovery
5. Network and relationship analysis
5
4
3
2
1

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Drivers and Benefits

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Big Data Use Cases

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Big Data Vendor Landscape

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Canadian enterprises and big data strategy
Not sure
33%
No, but we would like to
35%
No, but we are in the
process of creating one
18%
Yes, but it is restricted to
specific business
opportunities
4%
Yes, but it is restricted to
business units
4%
Yes, we have a geographic
led strategy
1%
Yes, we have an
organizational strategy
5%
53%
14%
33%

17. © 2012 IDC
0% 10% 20% 30% 40% 50% 60% 70% 80% 90% 100%
Canada
Worldwide
NA
5+ yrs 3 to 5 yrs 1 to 2 yrs Past 6 months Now Next 18 months ~18 months No DK/NA
Timing of Big Data Initiatives
Canada
WW
NA
Very important Somewhat important, or Not important Don't know
Importance of real-time data

18. © 2012 IDC
Stages of maturity in Big Data
5
4
1
2
3
Value
Effort
Automation.
Resources
focusing on
strategy are
supported by
automated
processes.
BD Scientists.
The organization can
consistently leverage
sources of data in relevant
forward-looking ways.
Prediction, rather than
reaction, is the norm.
BD Users. Technology and
culture have adjusted to the
use of big data, and the
organization can both
recognize and utilize sources of
big data to provide context and
relevance to business insights.
Big Data availability.
The company can recognize
and capture relevant,
actionable data from internal
and external sources, but
does not yet have the
infrastructure, skills, or
processes to make use of it.
Zero data state. No usable data in an actionable form. No
metrics for internal or external business processes, and no
data-driven insights into behaviour.

19. © 2012 IDC
Big Data Technology Stack

20. © 2012 IDC
Redefining Data Value
Every extra day “in the shop” increases
costs and customer angst

21. © 2012 IDC
Redefining Data Value

22. © 2012 IDC
Big Data: Beyond the 4 V’s
“My daughter got this in the mail!” he said.
“She’s still in high school, and you’re
sending her coupons for baby clothes and
cribs? Are you trying to encourage her to
get pregnant?”
“I had a talk with my daughter… there’s been
some activities in my house I haven’t been
completely aware of…”
Business Goal?
Finding the life moments that
lead to switching retail
preferences – and thereby
increasing Lifetime Customer
Value for Target over competitors
like Wal-Mart

23. © 2012 IDChttp://arstechnica.com/information-technology/2012/11/built-to-win-deep-inside-obamas-campaign-tech/
http://gigaom.com/cloud/how-obamas-tech-team-helped-deliver-the-2012-election/
Inside the Secret World of the Data Crunchers Who Helped Obama Win
Obama & the Four V’s

24. © 2012 IDC
Obama & the Value of Big Data

25. © 2012 IDC
Big Data Essential Questions
People, Process, Technology, Data, & Funding
• What new technical skills and business talent do I need to guide my big data strategy?
• How should my organization change? Does big data require a new engagement model?
• When and how do I orient my teams to support big data trends
People
• How does my development lifecycle change (data led vs. application led)
• How are my financial and IT peers addressing these trends
• How should I construct innovation activities around big data technology?
Process
• What are the true technical innovations, and what is different.
• What level of technical standardization and policy do I need to help advance the
development of big data initiatives across my lines of business?
• How does big data impact my cloud strategies?
• What are the technology risks
Technology
• What are the impacts on data governance policy?
• What can we expect in terms of regulatory guidance?
• How do I extend my information security and consumer protection architecture to
address big data technologies and applications
Data
• How do I construct an ROI model for big data application investments
• What are the right cost sharing models?
• How does big data change or impact charge back strategies
Funding

26. © 2012 IDC
The network is growing in importance. Data must be analyzed,
security applied, and authentication verified — all in real time and in
levels yet to be seen. Prepare for the 2020 digital universe.
There is no sticking your head in the sand; BD might be
overhyped, but it’s not going away. BD analytics brings IT &
lines of business closer together.
It’s not about the technology.
Focus on the business problem.
Final thoughts
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