samedi 29 novembre 2014

Big Data Economics: THE BOOK



This book addresses the economics of Big Data, beyond a project by project cost analysis.
The fuel or input of any Big Data system is source data. In many cases of current use of Big Data, excepting Open Data, the data is obtained for one single purpose, and used by a single organisation, because of the likely absence of an open and transparent market where such data can be purchased or sold. Our objective is to analyse the objects, agents, and mechanisms at play for source data within the Big Data context, and give an economic perspective rather than an Information Technology engineering perspective to Big Data.
The nature of data will be discussed, as a good which is digital rather than material, can be replicated at virtually no cost, and is not burnt or consumed in any irreversible way by its being used in a computation.
Requirements for exchange mechanisms of source data, and associated rights of use, will be discussed, with rules for transfer and use, control retention or not by originating owner, privacy and other basic requirements and constraints on data access.

Pricing and contract requirements for categories of data rights will be described, and illustrated on a few examples.

mardi 25 novembre 2014

Big Data Economics, Towards Data Market Places

Nature of Data, Exchange Mechanisms, Prices, Choices, Agents & Ecosystems



by Renaud Di Francesco, PhD

Executive summary

This book addresses the economics of Big Data, beyond a project by project cost analysis.
The fuel or input of any Big Data system is source data. In many cases of current use of Big Data, excepting Open Data, the data is obtained for one single purpose, and used by a single organisation, because of the likely absence of an open and transparent market where such data can be purchased or sold. Our objective is to analyse the objects, agents, and mechanisms at play for source data within the Big Data context, and give an economic perspective rather than an Information Technology engineering perspective to Big Data.

The nature of data will be discussed, as a good which is digital rather than material, can be replicated at virtually no cost, and is not burnt or consumed in any irreversible way by its being used in a computation.

Requirements for exchange mechanisms of source data, and associated rights of use, will be discussed, with rules for transfer and use, control retention or not by originating owner, privacy and other basic requirements and constraints on data access. 

Pricing and contract requirements for categories of data rights will be described, and illustrated on a few examples.

The agents acting on data and the related ecosystems will be presented with a model for roles and attributes.

Particular cases with already established digital commerce of data, and corresponding pricing, and right management schemes for digital objects will be discussed in several “verticals” or specific sectors of the economy.

Big Data, driving decisions:THE book



Big Data, Driving Decisions

with direct impact on the real-world,

this is the deep transformation ahead of us.



Hello, I am Renaud Di Francesco, an Engineer and Technology Manager, with a record track in  Digital Innovation (Patents, PhD).

I would like to introduce you to an aspect of Big Data: 
-how Big Data drives decisions

With billions of humans connected through mobile and fixed networks, the challenge is now shifting to connecting our things, any thing, in a meaningful way. This is what Big Data, enabled by Machine to Machine connectivity, is all about:
  • making sense of all bits of knowledge acquired in real time, digested, processed, retrieved, understood through Analytics.                   
  • building a decision and action process, based on the result of this analysis.
  • feeding back commands or actions to the real-world.





My book "Big Data, Driving Decisions" will take you through use cases, technologies, economics of big data, at the cross-roads of society and business. 
It is available on Amazon/Kindle Editions.





 Big Data, Driving Deicisions, "THE book"