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Typology of French companies regarding the development of Big Data in 2016

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Sources

Release date

June 2016

Region

France

Survey time period

2016

Number of respondents

101 companies with more than 1,000 employees based in France

Supplementary notes

* The source defines Big Data as follows: "a set of technologies, tools, processes, and procedures that enable an organization to create, manipulate, and manage very large amounts of diverse data in order to facilitate rapid decision-making."

** Details extracted from the report, page 13:
"Lagging companies are still at the learning or evaluation stage of Big Data without defined projects. They do not yet have a Big Data strategy or real Big Data skills, nor budgets associated with this type of project."
"Cautious companies are implementing Big Data initiatives, but with a lack of methodology. They learn from their pilot projects or POCs (Proof of Concept) and begin to implement projects in this area. However, their Big Data strategy is often limited to a single entity within the company, and the funding for initiatives is done locally for each new project."
"Builders have already made progress on the subject and already have a solution in production. Their strategy already involves several entities or departments of the company, with top management involved, valuing data exploitation. They already have skills and have set up decentralized budgets at the department level, and continue to optimize their processes."
"Visionary companies have reached a maturity stage allowing them to go beyond the implementation of a Big Data solution with continuous and optimized improvement of their processes. They have top management leadership that drives data usage and have established a global strategy that concerns the entire company. They already have the necessary skills and continue to develop them by recruiting data experts."

The source does not provide any indication regarding the duration of the survey or the method used.

Citation formats

Maturity of French companies on Big Data in 2016

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