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1




   Canary in the Coal Mine: How Social
   Data Can Prepare Us for Big Data




February 26, 2013



Susan Etlinger, Industry Analyst
@setlinger
2




    “I believe that, in the future, social
         networks will be like air.”
                         Charlene Li, 2008




© 2013 Altimeter Group
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


       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


       Average number of owned social accounts
       (enterprise-class companies): 178




© 2013 Altimeter Group
  2012
6


       3: Business value depends on where you sit




© 2013 Altimeter Group
7


       Six primary use cases for social data




© 2013 Altimeter Group
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


       Organizations experiment to find meaning…




© 2013 Altimeter Group
10


       …with unexpected results




© 2013 Altimeter Group
11


       5. It drives organizational change




© 2013 Altimeter Group
5 primary organizational structures for social




             Centralized   Distributed   Coordinated   Multiple Hub   Holistic
                                                       and Spoke




© 2013 Altimeter Group
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


       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




         “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


       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


       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


       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


       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


       A healthy environment = happy canaries




© 2013 Altimeter Group
21




           Thank you


                         Susan Etlinger
                         Susan@altimetergroup.com
                         www.susanetlinger.com
                         Twitter: setlinger




© 2013 Altimeter Group

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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

  1. Data proliferation
  2. 32-43 are critical
  3. 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