More Related Content Similar to Canary in the Coalmine: How Social Media Can Prepare Us for Big Data (20) More from Susan Etlinger (8) Canary in the Coalmine: How Social Media Can Prepare Us for Big Data 1. 1
Canary in the Coal Mine: How Social
Data Can Prepare Us for Big Data
February 26, 2013
Susan Etlinger, Industry Analyst
@setlinger
2. 2
“I believe that, in the future, social
networks will be like air.”
Charlene Li, 2008
© 2013 Altimeter Group
3. 3
1: Social data is a type of big data
Volume Velocity Variety
Millions of Thousands Structured
conversations of posts per and
second unstructured
data
Source (3Vs construct) : Gartner Group
© 2013 Altimeter Group
4. 4
2. Social media spans the enterprise
"In which of the following departments are there dedicated people
(can be less than one FTE) executing social?"
Marketing 73.4%
Corporate Communications/PR 65.6%
Customer Support 39.8%
Digital 36.7%
Social Media 35.2%
HR 28.9%
Product development/R&D 16.4%
Advertising 16.4%
At least 13 different
Customer/User experience 14.8%
IT 14.1%
departments actively
Executive 10.9% involved in social media
Legal 9.4%
Market Research 7.8%
0.0% 10.0% 20.0% 30.0% 40.0% 50.0% 60.0% 70.0% 80.0%
© 2013 Altimeter Group
5. 5
Average number of owned social accounts
(enterprise-class companies): 178
© 2013 Altimeter Group
2012
6. 6
3: Business value depends on where you sit
© 2013 Altimeter Group
7. 7
Six primary use cases for social data
© 2013 Altimeter Group
8. 8
4: It disrupts interpretive conventions
1. Strains the definition of an
analyst.Consumerization of IT =
consumerization of data. Broader set of
stakeholders trying to interpret social data.
2. Strains the definition of expertise. Social
expertise, analytical expertise. Few combine both
domains.
3. Strains confidence levels. Nascent analytics
and 3-V data make for imperfect science.
4. This will only get worse as data becomes more
freely available in real/right time.
© 2013 Altimeter Group
9. 9
Organizations experiment to find meaning…
© 2013 Altimeter Group
10. 10
…with unexpected results
© 2013 Altimeter Group
11. 11
5. It drives organizational change
© 2013 Altimeter Group
12. 5 primary organizational structures for social
Centralized Distributed Coordinated Multiple Hub Holistic
and Spoke
© 2013 Altimeter Group
13. 13
Most companies organize as Hub & Spoke,
but are moving toward Multiple Hub & Spoke
2010
2012 9.4% 29.1% 35.4% 23.6% 2.4%
© 2013 Altimeter Group
14. 14
In summary, social data…
1. is a type of 2. spans the 3. has variable
big data organization business value
4. disrupts how 5. drives All this is or will
we understand organizational be true of big
our business change data
© 2013 Altimeter Group
15. 15
“If big data will be like air, we’d
better start taking care of our air
quality now.”
Susan Etlinger, 2013
© 2013 Altimeter Group
16. 16
Social data is the canary in the coal mine
Life for an actual
canary in a coal mine
could be described in
three words:
"short but meaningful.”
Source: Wisegeek.com
© 2013 Altimeter Group
17. 17
Air quality control for big data
1. It’s not just about IT data and analysts
• Social data stakeholders are big data stakeholders.
Build relationships and plan cohesive analytical
approaches
• Enterprises are already starting to integrate social and
enterprise data; get ahead of the curve
• This requires mutual education
• Cultivate your business stakeholders now, including
executive champions!
• Hint: remember the 13 departments and start there)
© 2013 Altimeter Group
18. 18
Air quality control for big data
2. It requires a holistic approach with tailored
execution
• Analysts across the organization must work cohesively
with shared approaches and tools
• This means different backgrounds, skill levels and
focuses
• Start incrementally and build over time
© 2013 Altimeter Group
19. 19
Air quality control for big data
3. Use social media adoption as a starting point
for what to expect:
• Financial. Building business cases; what’s working?
• Organizational. Which silos are breaking? How is the
organization adapting?
• Cultural. What happens when big data is a given? How
does it affect decision making?
• Political. How are decisions being made? What are the
unintended consequences?
© 2013 Altimeter Group
20. 20
A healthy environment = happy canaries
© 2013 Altimeter Group
21. 21
Thank you
Susan Etlinger
Susan@altimetergroup.com
www.susanetlinger.com
Twitter: setlinger
© 2013 Altimeter Group
Editor's Notes Data proliferation 32-43 are critical Early coal mines did not feature ventilation systems, so legend has it that miners would bring a caged canary into new coal seams. Canaries are especially sensitive to methane and carbon monoxide, which made them ideal for detecting any dangerous gas build-ups. As long as the bird kept singing, the miners knew their air supply was safe. A dead canary signaled an immediate evacuation