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
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.