Synthèse des méthodes de conduite de projets Big Data et des retours collectés lors de pilotes industriels

Synthèse des méthodes de conduite de projets Big Data et des retours collectés lors de pilotes industriels

Christophe Ponsard Mounir Touzani  Annick Majchrowski 

CETIC - Centre de recherche, Gosselies, Belgique

Docteur en Informatique, Toulouse, France

Corresponding Author Email:
28 February 2018
| Citation

Companies are increasingly faced with the challenge of handling increasing and even massive amounts of digital data. Although Big Data technical solutions are available, many companies are struggling to deploy them because of a lack of maturity related to their management. This paper aims at improving guidance in this area based on a series of methodological brick documented in the literature from data mining projects to nowadays. It is complemented by lessons learned from pilots conducted in four key areas (IT, health, space, food industry). They give a concrete vision of how to implement the requirements gathering and data understanding steps with a focus on the identification of value, the definition of a relevant strategy and an agile follow-up to also manage the rise in maturity.


projet management, adoption process, agile Methods, Big Data, case study.

1. Introduction
2. Typologie des méthodes d’analyse de données massives
3. Revue des méthodes et processus existants
4. Processus global suivi pour développer et valider la méthode
5. Retour d’expérience et recommandations
6. Travaux connexes et discussion
7. Conclusion et perspectives

Ce travail a été financé en partie par le projet PIT Big Data de la région wallonne (no 7481). Nous remercions nos partenaires d’avoir partagé leurs cas d’étude.


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