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Andreas weigend
- 1. Five Rules toTransform Big Data Into Decisions AndreasWeigend Utrecht - 21.09.2017 1
- 2. 2 Outline • Background • Sources andValue of Data • Five Rules for Big Data • Insights and Summary
- 3. 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. 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. 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. 6 Insights and Summary • Equation Make the Implicit Explicit • Dataset –Toolset – Skillset – Mindset
- 7. 7
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- Refineries
- 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
- 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
- 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
- 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
- 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