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

Topics: Adoption challenges and recommendation; Big Data Algorithm, Methodology, Business Models and Challenges; Modeling, Experiments, Sharing Technologies & Platforms; Software Engineering Approaches, including Formal Methods, Agile Methods and Theoretical Algorithms for IoT and Big Data; User Evaluations and Case Studies

Authors: Christophe Ponsard 1 ; Annick Majchrowski 1 ; Stephane Mouton 1 and Mounir Touzani 2

Affiliations: 1 CETIC Research Centre, Belgium ; 2 Académie de Toulouse, France

ISBN: 978-989-758-245-5

Keyword(s): Big Data, Process Model, Agile, Adoption, Case Studies.

Abstract: 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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Paper citation in several formats:
Ponsard, C.; Majchrowski, A.; Mouton, S. and Touzani, M. (2017). Process Guidance for the Successful Deployment of a Big Data Project: Lessons Learned from Industrial Cases.In Proceedings of the 2nd International Conference on Internet of Things, Big Data and Security - Volume 1: IoTBDS, ISBN 978-989-758-245-5, pages 350-355. DOI: 10.5220/0006357403500355

@conference{iotbds17,
author={Christophe Ponsard. and Annick Majchrowski. and Stephane Mouton. and Mounir Touzani.},
title={Process Guidance for the Successful Deployment of a Big Data Project: Lessons Learned from Industrial Cases},
booktitle={Proceedings of the 2nd International Conference on Internet of Things, Big Data and Security - Volume 1: IoTBDS,},
year={2017},
pages={350-355},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006357403500355},
isbn={978-989-758-245-5},
}

TY - CONF

JO - Proceedings of the 2nd International Conference on Internet of Things, Big Data and Security - Volume 1: IoTBDS,
TI - Process Guidance for the Successful Deployment of a Big Data Project: Lessons Learned from Industrial Cases
SN - 978-989-758-245-5
AU - Ponsard, C.
AU - Majchrowski, A.
AU - Mouton, S.
AU - Touzani, M.
PY - 2017
SP - 350
EP - 355
DO - 10.5220/0006357403500355

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