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Five Rules toTransform Big Data
Into Decisions
AndreasWeigend
Utrecht - 21.09.2017
1
2
Outline
• Background
• Sources andValue of Data
• Five Rules for Big Data
• Insights and Summary
3
Five Rules for Big Data
1. Start with the question, not the data
2. Write down your fitness function
3. Experiment: Launch and learn
4. Respect and empower your customers
5. Embrace transparency
4
Bonus Rule
• Start with the question, not the data
• Write down your fitness function
• Launch and learn
• Respect and empower your customers
• Embrace transparency
• Collaborate with people and machines
5
Thought Experiment
Imagine you had all the data Google has…
• What would you do differently?
• What product would you create?
• Which of Google’s data would you use?
6
Insights and Summary
• Equation
 Make the Implicit Explicit
• Dataset –Toolset – Skillset – Mindset
7
8
+1 (650) 906-5906
andreas@weigend.com
weigend.com/utrecht
Dinner tonight?

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  1. Refineries
  2. Pretty good proxy for person Mobile key because 2-way device, always on, lots of sensors Foreshadow equation of biz Vs Social Media Exponential growth of data But constancy of mine: GAP Also provides context Geotemporal and social context - mobile phone as an example ABC of Social Data: Approval,Belonging,Connection (Bring this idea in when you are talking about connectivity, why people are interested about connections) Old ABC : Advertising, Branding, Confusion
  3. Pretty good proxy for person Mobile key because 2-way device, always on, lots of sensors Foreshadow equation of biz Vs Social Media Exponential growth of data But constancy of mine: GAP Also provides context Geotemporal and social context - mobile phone as an example ABC of Social Data: Approval,Belonging,Connection (Bring this idea in when you are talking about connectivity, why people are interested about connections) Old ABC : Advertising, Branding, Confusion
  4. Pretty good proxy for person Mobile key because 2-way device, always on, lots of sensors Foreshadow equation of biz Vs Social Media Exponential growth of data But constancy of mine: GAP Also provides context Geotemporal and social context - mobile phone as an example ABC of Social Data: Approval,Belonging,Connection (Bring this idea in when you are talking about connectivity, why people are interested about connections) Old ABC : Advertising, Branding, Confusion
  5. Pretty good proxy for person Mobile key because 2-way device, always on, lots of sensors Foreshadow equation of biz Vs Social Media Exponential growth of data But constancy of mine: GAP Also provides context Geotemporal and social context - mobile phone as an example ABC of Social Data: Approval,Belonging,Connection (Bring this idea in when you are talking about connectivity, why people are interested about connections) Old ABC : Advertising, Branding, Confusion
  6. Pretty good proxy for person Mobile key because 2-way device, always on, lots of sensors Foreshadow equation of biz Vs Social Media Exponential growth of data But constancy of mine: GAP Also provides context Geotemporal and social context - mobile phone as an example ABC of Social Data: Approval,Belonging,Connection (Bring this idea in when you are talking about connectivity, why people are interested about connections) Old ABC : Advertising, Branding, Confusion