Slides of the course on big data by Clement Levallois from EMLYON Business School. For business students. Check the online video connected with these slides. -> An exploration of 6 types of business models that use data differently as an engine to create value.

1. MK99 – Big Data 1
Big data & cross-platform analytics
MOOC lectures Pr. Clement Levallois

2. MK99 – Big Data 2
6 families of business models centered on data
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Not a closed list, not a recipe!
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Helpful toolkit for brainstorming on data for business

3. MK99 – Big Data 3
Data: the many roads to value creation
1.
Creating data, selling data
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Gathering data, selling ads
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Gathering data, selling predictive analytics
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Adding data goodness to products
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Adding data goodness to existing services
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Creating new services enabled by data mining

4. MK99 – Big Data 4
1. Gathering data, selling data
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When selling data itself is the value proposition
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Thomson Reuters selling data from finance, scientific research, medicine and news
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Nielsen selling market data
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Twitter selling tweets through affiliated partners (GNIP and DataSift)
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Meteo France selling meterological data
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Orange (French Telecom company) can sell info to cities about car traffic and flows of tourists in public places (museums…) based on the (anomymized) geolocalisation of tourists mobile phones.
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ImDB or Allocine which sells to analysts data about movie previews (which one are watch most often?)

5. MK99 – Big Data 5
2. Gathering data, selling ads
Facebook, Yahoo, Microsoft, Google, LinkedIn, Twitter, etc: using data from our profiles, queries and social networks to offer ad targeting services.

6. MK99 – Big Data 6
3. Gathering data, sell predictive analytics
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Tilkee: predicts the success of a commercial action based on history of email attachment usage patterns
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Visa: predicts credit score based on individual history of bank account balance / purchases
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PredPol: predicts occurrence of crime based on past history of crimes.
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InfraTest: predicts the success of a new product concept based on a database of 100,000+ tests of concepts.

7. MK99 – Big Data 7
4. Adding data goodness to products
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Babolat connected tennis rackets: improve your game
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Withings body scale, watch etc: track your well being
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Nest thermostat: regulate your energy consumption
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Drinking cups
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Google car: let it drive for you, have a safer trip
Vessyl

8. MK99 – Big Data 8
5. Adding data goodness to existing services (incremental innovation)
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ABN AMRO (Dutch bank) and its online banking service helping customers benchmark their expenses against a similar, average household
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Amazon shopping experience with ratings, comments and product recommendations.
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KLM Meet & Sit: connect to Facebook or LinkedIn to choose a sit next to somebody you’d like to meet

9. MK99 – Big Data 9
6. Creating new services enabled by data mining (disruptive innovations)
Disruptive: because they put non-data intensive services at risk of becoming obsolete!
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Crowd-sourced apps like Waze or Coyote replacing static navigation systems?
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Uber replacing cabs?
–MOOCs replacing in-class lectures in universities?
–Building Information Modeling (BIM) replacing non data-intensive planning systems for building?
–Algorithms + data replacing manual trading on the stock market, automatizing the market for ad placement, optimizing energy consumption at the household level, replacing brick-and-mortar travel agencies by online platforms, …

10. MK99 – Big Data 10
This slide presentation is part of a course offered by EMLYON Business School (www.em-lyon.com)
Contact Clement Levallois (levallois [at] em-lyon.com) for more information.