Process Guidance for the Successful Deployment of a Big Data Project : Lessons Learned from Industrial Cases

Process Guidance for the Successful Deployment of a Big Data Project : Lessons Learned from Industrial Cases

Christophe Ponsard, Annick Majchrowski, Stéphane Mouton and Mounir Touzani, Process Guidance for the Successful Deployment of a Big Data Project : Lessons Learned from Industrial Cases, 2nd International Conference on Internet of Things, Big Data and Security, Porto, April 24-26, 2017.

Date: 26 avril 2017

Publication: Publications scientifiques 

Domaine: Secteur numérique 

A propos du projet: Plateforme Big Data 

Nowadays, in order to successfully run their business, companies are facing the challenge of processing ever increasing amounts of data coming from digital repositories, enterprise applications, sensors networks and mobile devices. Although a wide range of technical solutions are available to deal with those Big Data, many companies fail to deploy them because of management challenges and a lack of process maturity. This paper focuses on those aspects and reports about lessons learned when deploying a series of Big Data pilots in different domains. We provide feedback and some practical guidelines on how to organise and manage a project based on available methodologies, covering topics like requirements gathering, data understanding, iterative project execution, maturity stages, etc.

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