Discovering GeoDB 2. Game theory

  1. Users consider their location as their most valuable private data. In exchange for this information they demand much more money than they currently receive.
  2. Companies are aware of the importance of localization for analysis. They know that this information allows them to connect data silos to extract knowledge from them.
  • Users are selling their private data without being aware of it, obtaining derisory benefits in return.
  • Companies are distorting reality, making users believe that demand is low and therefore the price can not be higher.

The big cost of big data

Supply and demand

References:

  1. The Best of All Possible Worlds: Mathematics and Destiny. Ivar Ekeland, 2006. ISBN: 9780226199948
  2. https://en.wikipedia.org/wiki/Supply_and_demand
  3. http://hadoop.apache.org/
  4. https://www.forbes.com/sites/ciocentral/2012/04/16/the-big-cost-of-big-data
  5. https://aws.amazon.com/es/blogs/aws/amazon-redshift-the-new-aws-data-warehouse/
  6. https://www.atscale.com/blog/big-data-cost
  7. https://medium.com/@GeoDataBlock/discovering-geodb-1-the-power-of-place-fb97a935b3d9
  8. http://blog.syncsort.com/2017/03/big-data/quality-data-big-data-worth/
  9. https://en.wikipedia.org/wiki/Alfred_Marshall

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