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.

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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