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© 2014
Culture of Analytics
Shash.Hegde@mariner-usa.com
@DataCzar
© 2014
Operation Cat Drop
© 2014
Value of solution = Completeness or Quality of
solution.
Value = Quality x Acceptance
© 2014
Agenda
• Revisit what we spoke about last time
• Industry View on culture
• Discussion
• Mental models
• How to succeed
• Discussion
© 2014
Digital Disruption
© 2014
• Amazon -> Books. Retail. Cloud. Logistics. Hardware.
• Google -> Search. Mobile. Cars. Gadgets. Robots.
• Netflix -> Movie rentals. Cable.
• Tesla -> Cars. Batteries/Power Generation.
• Uber -> Taxis. Parcel Delivery.
• Airbnb -> Hotels. Restaurants.
Industry lines are blurring
© 2014
Social
Analytics
Mobile
Cloud
SMAC
Convergence into a stack – a digital platform
© 2014 Source: http://techcrunch.com/2013/12/14/as-software-eats-the-world-non-tech-corporations-are-eating-startups/
© 2014
Adopting the mindset & culture
Source: http://www.forbes.com/sites/stevedenning/2014/04/11/why-software-is-eating-the-world/
Continuous Delivery & Agile
© 2014
• Google
• Facebook
• Amazon
• P&G
• Progressive Insurance
• GE
• Netflix
Case studies
© 2014
Most data driven company on the
planet?
© 2014
• Google File System (2003)
• MapReduce (2004)
• Google Big Table (2006)
• Dremel (2010) “Google Big Query”
• Pregel (2010) Large scale Graph processing
• Percolator (2010) Incremental indexing
• Spanner (2012) Globally distributed database,
successor to Big Table
They invented “big data”
© 2014
41 Shades of Blue
© 2014
41 Shades of Blue
© 2014
GE
© 2014
Microsoft
© 2014
Discussion
© 2014
• Culture = “How we do things around here”
• Culture = Mental Model/Mindset
• Culture = Shared set of beliefs, values, and practices
• Culture = Operating system for people
Definitions
© 2014
• Why have a culture of analytics?
• What about culture of innovation, culture of learning,
quality, customer centricity, excellence?
• If you don’t define a culture, do you get one anyway?
• How much effort do you put on “acceptance” of
projects?
Questions
© 2014
• Has anyone initiated a cultural shift? What happened?
• Or has anyone witnessed a cultural shift initiated by
somebody else? What happened?
• How do you know you if have a culture of analytics?
More questions
© 2014
• At your organization, is working with data somebody
else’s job? Perhaps a data specialist or IT department.
Is it treated similar to, say, IT security?
Or is it everybody’s job?
Litmus test
© 2014
• Is a “data democracy” a pre-cursor to a data driven
culture?
• Is culture primarily a leadership issue or can it happen
bottom up?
How does it start?
© 2014
Mental models
© 2014
All models are wrong,
some are useful.
-George E. P. Box
© 2014
Cause  Effect
(Co)Producer  Product
© 2014
https://www.youtube.com/watch?v=mkJ-Uy5dt5g
© 2014
Different groups, different tactics
Source: http://www.enablingchange.com.au/Summary_Diffusion_Theory.pdf
• Social norms rather than product
benefits.
• Increase convenience, reduce cost.
• Risk of being left behind.
• Invite them to partner in designing
new projects
• Reward egos (e.g. media coverage)
• Recruit for peer education
© 2014 Source: http://www.infoq.com/articles/organizational-culture-and-agile
© 2014
How to succeed
© 2014
Strategies that work
• Top-down guidance and or mandates from executives
• Promotion of data-sharing practices
• Increased availability of training in data analytics
• Communication of the benefits of data-driven decision
making
• Recruitment of additional data analysts
Policy
Marketing
Training
Communication
Recruitment
© 2014
• Science of Persuasion
• Science of Motivation
• Feedback loops
• Strength of weak ties
Some additional arsenal
© 2014
• 6 Heuristics
• Reciprocity
• Scarcity
• Authority
• Consistency
• Liking
• Consensus
Science of Persuasion (influence)
Source: https://www.youtube.com/watch?v=cFdCzN7RYbw
© 2014
Motivation
© 2014
Science of Motivation
Autonomy
PurposeMastery
Engagement
Source: Author Dan Pink’s book - Drive: The Surprising Truth About What Motivates Us
© 2014
Source: http://marcin.floryan.pl/blog/2011/05/motivation-3-0
© 2014
How do you spread it?
Close the loop!
© 2014
The strength of weak ties
Source: Granovetter's paper "The Strength of Weak Ties“. Over 27,000 citations according to Google Scholar
© 2014
• What other strategies/techniques are you aware of?
• Any closing comments?
Discussion
© 2014
• Decision Management and Intelligent Business
Operations
• Modern Data Architectures
• How to SMAC enable your enterprise
• Internet of Things
Additional topics in queue
© 2014
Thank You

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July 2014 Executive Roundtable - Culture of Analytics

  • 1. © 2014 Culture of Analytics Shash.Hegde@mariner-usa.com @DataCzar
  • 3. © 2014 Value of solution = Completeness or Quality of solution. Value = Quality x Acceptance
  • 4. © 2014 Agenda • Revisit what we spoke about last time • Industry View on culture • Discussion • Mental models • How to succeed • Discussion
  • 6. © 2014 • Amazon -> Books. Retail. Cloud. Logistics. Hardware. • Google -> Search. Mobile. Cars. Gadgets. Robots. • Netflix -> Movie rentals. Cable. • Tesla -> Cars. Batteries/Power Generation. • Uber -> Taxis. Parcel Delivery. • Airbnb -> Hotels. Restaurants. Industry lines are blurring
  • 8. © 2014 Source: http://techcrunch.com/2013/12/14/as-software-eats-the-world-non-tech-corporations-are-eating-startups/
  • 9. © 2014 Adopting the mindset & culture Source: http://www.forbes.com/sites/stevedenning/2014/04/11/why-software-is-eating-the-world/ Continuous Delivery & Agile
  • 10. © 2014 • Google • Facebook • Amazon • P&G • Progressive Insurance • GE • Netflix Case studies
  • 11. © 2014 Most data driven company on the planet?
  • 12. © 2014 • Google File System (2003) • MapReduce (2004) • Google Big Table (2006) • Dremel (2010) “Google Big Query” • Pregel (2010) Large scale Graph processing • Percolator (2010) Incremental indexing • Spanner (2012) Globally distributed database, successor to Big Table They invented “big data”
  • 13. © 2014 41 Shades of Blue
  • 14. © 2014 41 Shades of Blue
  • 18. © 2014 • Culture = “How we do things around here” • Culture = Mental Model/Mindset • Culture = Shared set of beliefs, values, and practices • Culture = Operating system for people Definitions
  • 19. © 2014 • Why have a culture of analytics? • What about culture of innovation, culture of learning, quality, customer centricity, excellence? • If you don’t define a culture, do you get one anyway? • How much effort do you put on “acceptance” of projects? Questions
  • 20. © 2014 • Has anyone initiated a cultural shift? What happened? • Or has anyone witnessed a cultural shift initiated by somebody else? What happened? • How do you know you if have a culture of analytics? More questions
  • 21. © 2014 • At your organization, is working with data somebody else’s job? Perhaps a data specialist or IT department. Is it treated similar to, say, IT security? Or is it everybody’s job? Litmus test
  • 22. © 2014 • Is a “data democracy” a pre-cursor to a data driven culture? • Is culture primarily a leadership issue or can it happen bottom up? How does it start?
  • 24. © 2014 All models are wrong, some are useful. -George E. P. Box
  • 25. © 2014 Cause  Effect (Co)Producer  Product
  • 27.
  • 29. © 2014 Different groups, different tactics Source: http://www.enablingchange.com.au/Summary_Diffusion_Theory.pdf • Social norms rather than product benefits. • Increase convenience, reduce cost. • Risk of being left behind. • Invite them to partner in designing new projects • Reward egos (e.g. media coverage) • Recruit for peer education
  • 30. © 2014 Source: http://www.infoq.com/articles/organizational-culture-and-agile
  • 31. © 2014 How to succeed
  • 32. © 2014 Strategies that work • Top-down guidance and or mandates from executives • Promotion of data-sharing practices • Increased availability of training in data analytics • Communication of the benefits of data-driven decision making • Recruitment of additional data analysts Policy Marketing Training Communication Recruitment
  • 33. © 2014 • Science of Persuasion • Science of Motivation • Feedback loops • Strength of weak ties Some additional arsenal
  • 34. © 2014 • 6 Heuristics • Reciprocity • Scarcity • Authority • Consistency • Liking • Consensus Science of Persuasion (influence) Source: https://www.youtube.com/watch?v=cFdCzN7RYbw
  • 36. © 2014 Science of Motivation Autonomy PurposeMastery Engagement Source: Author Dan Pink’s book - Drive: The Surprising Truth About What Motivates Us
  • 38. © 2014 How do you spread it? Close the loop!
  • 39. © 2014 The strength of weak ties Source: Granovetter's paper "The Strength of Weak Ties“. Over 27,000 citations according to Google Scholar
  • 40. © 2014 • What other strategies/techniques are you aware of? • Any closing comments? Discussion
  • 41. © 2014 • Decision Management and Intelligent Business Operations • Modern Data Architectures • How to SMAC enable your enterprise • Internet of Things Additional topics in queue