DATA MANAGEMENT
All your projects have something in common : a large number of digital data from various sources. It is often complicated. Knowing how to control their quality, integrate and manage them efficiently from the beginning to the outcome of the project will be one of the keys of your success.
All your projects have something in common : a large number of digital data from various sources. It is often complicated. Knowing how to control their quality, integrate and manage them efficiently from the beginning to the outcome of the project will be one of the keys of your success.
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1
Collection
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2
Control
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3
Sharing
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4
Evaluation
We master end-to-end data management or "Geodataworkflow" , this assembly of processes designed to optimize the administration of your digital data from their harvest to their distribution. Our goal is to help you produce controlled and accessible digital information. Thus, you will be able to govern and evaluate your actions effectively.
Collect
Using the right tools, collect the data, the real fuel of your system.
Quality Control
Whether your data is spatial or not, quality control (semantic and topological) is mandatory.
Analysis
Cross your spatial and non-spatial data, analyze them to draw the best indicators.
Storage and cataloging
Database, Spatial Data Infrastructure (IDS) and open data.
Diffusion
Communicate effectively through tools such as a WebSIG geoportal and statistical dashboards.
Evaluation
Break down your information, ensure real monitoring and evaluation of your project.