canary in the coalmine: how social media can prepare us for big data

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1 February 26, 2013 Susan Etlinger, Industry Analyst @setlinger Canary in the Coal Mine: How Social Data Can Prepare Us for Big Data

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n this talk, Il discuss how organizations are addressing the challenges of social data--technological, organizational and cultural--and what it can teach us on the road to big data.

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Page 1: Canary in the Coalmine: How Social Media Can Prepare Us for Big Data

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February 26, 2013

Susan Etlinger, Industry Analyst@setlinger

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

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© 2013 Altimeter Group

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

Charlene Li, 2008

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© 2013 Altimeter Group

1: Social data is a type of big data3

Source (3Vs construct) : Gartner Group

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© 2013 Altimeter Group

2. Social media spans the enterprise4

Market Research

Executive

Customer/User experience

Product development/R&D

Social Media

Customer Support

Marketing

0.0% 10.0% 20.0% 30.0% 40.0% 50.0% 60.0% 70.0% 80.0%

7.8%

9.4%

10.9%

14.1%

14.8%

16.4%

16.4%

28.9%

35.2%

36.7%

39.8%

65.6%

73.4%

"In which of the following departments are there ded-icated people (can be less than one FTE) executing

social?"

At least 13 different de-partments actively in-volved in social media

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

© 2012 Altimeter Group

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3: Business value depends on where you sit6

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Six primary use cases for social data7

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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.

4: It disrupts interpretive conventions8

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Organizations experiment to find meaning…9

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…with unexpected results10

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5. It drives organizational change11

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5 primary organizational structures for social

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Most companies organize as Hub & Spoke, but are moving toward Multiple Hub & Spoke

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9.4% 29.1% 35.4% 23.6% 2.4%

2010

2012

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In summary, social data…14

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“If big data will be like air, we’d better start taking care of our air

quality now.”Susan Etlinger, 2013

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Life for an actual canary   in a coal mine could be described in three words:

"short but meaningful.”

Source: Wisegeek.com

Social data is the canary in the coal mine

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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)

Air quality control for big data17

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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

Air quality control for big data18

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© 2013 Altimeter Group

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?

Air quality control for big data19

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A healthy environment = happy canaries20

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Thank you

Susan Etlinger

[email protected]

www.susanetlinger.com

Twitter: setlinger