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Introduction – The Contributions of Big Data

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  • Philippe Tassi

Abstract

[eng] The revolution, which is quite recent, brought about by digital conver¬gence and connected objects, has enabled a homogenisation of data types which would historically have been considered as different, for example: digital data, texts, sound, still images, and moving images. This has encouraged the Big Data phenome¬non, the volume of which includes two related parameters: quantity and frequency of acquisition; quantity can extend as far as exhaustivity and frequency can be up to and including real time. This Special Issue features a series of articles that examine its uses and implications, as well as the challenges faced by statistical production in general, and especially that of official statistics. Just like any innovation, Big Data offer advantages and raise questions. The obvious benefits include “added” knowledge – a better statistical description of the economy and the society. They are also a driver for development in computer science in the broadest sense, and in applied mathematics. However, we cannot do without some degree of vigilance, since data and how they are used can affect individuals, their freedoms and the pre¬servation of their privacy.

Suggested Citation

  • Philippe Tassi, 2018. "Introduction – The Contributions of Big Data," Economie et Statistique / Economics and Statistics, Institut National de la Statistique et des Etudes Economiques (INSEE), issue 505-506, pages 5-15.
  • Handle: RePEc:nse:ecosta:ecostat_2018_505-506_1
    DOI: https://doi.org/10.24187/ecostat.2018.505d.1963
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    JEL classification:

    • C1 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General
    • C8 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs

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