Monitoring activities: between traditional observation methods and Big Data

Workshop Club Debate

,   -
Espace One (1st floor), Université Paris-Dauphine

The regulators (sectoral, financial, competition authority, CNIL) are responsible for monitoring markets or controlling the behaviour of operators, with the aim of identifying behaviour that contravenes the rules that the regulator is responsible for enforcing (insider dealing and market manipulation on the financial markets or wholesale energy markets, practices that contravene online gaming regulations, anti-competitive practices, etc.), analysing them and conducting investigations so that they can be sanctioned by the competent authority where appropriate.

These activities, which are common to the majority of regulators, are based on a variety of types of data, collection and processing:

  • quantitative data (prices, costs, transactional data) or qualitative data (commercial communication), relating to sequences of behaviour, whether automated or not (and in this case, more or less 'standardised' and repetitive), of widely varying volumes,
  • data collected systematically (and exhaustively: ARJEL, monitoring of wholesale markets by energy regulators / or by sampling), or on an ad hoc basis (e.g. following a report),
  • data processed by conventional analysis methods or filtered by algorithms.

The aim of this seminar will be to compare the experiences of different authorities in the face of the new challenges of their supervisory and control missions.

The various presentations will be followed by a round-table discussion during which all seminar participants will be invited to contribute to the discussion of cross-cutting issues such as :

  • How far does the automation of data collection and processing go, and how does it fit in with the work of analysis and assessment?
  • How do changes in regulations on the use of data and the development of digital tools influence surveillance and monitoring methods?
  • What are the issues surrounding the protection of surveillance and monitoring data?

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