MK99 – Big Data 1
Big data & cross-platform analytics
MOOC lectures Pr. Clement Levallois
MK99 – Big Data 2
6 families of business models centered on data
Not a closed list, not a recipe!
Helpful toolkit for brainstorming on data for business
MK99 – Big Data 3
Data: the many roads to value creation
Creating data, selling data
Gathering data, selling ads
Gathering data, selling predictive analytics
Adding data goodness to products
Adding data goodness to existing services
Creating new services enabled by data mining
MK99 – Big Data 4
1. Gathering data, selling data
When selling data itself is the value proposition
Thomson Reuters selling data from finance, scientific research, medicine and news
Nielsen selling market data
Twitter selling tweets through affiliated partners (GNIP and DataSift)
Meteo France selling meterological data
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.
ImDB or Allocine which sells to analysts data about movie previews (which one are watch most often?)
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.
MK99 – Big Data 6
3. Gathering data, sell predictive analytics
Tilkee: predicts the success of a commercial action based on history of email attachment usage patterns
Visa: predicts credit score based on individual history of bank account balance / purchases
PredPol: predicts occurrence of crime based on past history of crimes.
InfraTest: predicts the success of a new product concept based on a database of 100,000+ tests of concepts.
MK99 – Big Data 7
4. Adding data goodness to products
Babolat connected tennis rackets: improve your game
Withings body scale, watch etc: track your well being
Nest thermostat: regulate your energy consumption
Google car: let it drive for you, have a safer trip
MK99 – Big Data 8
5. Adding data goodness to existing services (incremental innovation)
ABN AMRO (Dutch bank) and its online banking service helping customers benchmark their expenses against a similar, average household
Amazon shopping experience with ratings, comments and product recommendations.
KLM Meet & Sit: connect to Facebook or LinkedIn to choose a sit next to somebody you’d like to meet
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!
Crowd-sourced apps like Waze or Coyote replacing static navigation systems?
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, …
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.