Whether for data mining, reporting or dashboarding, analytics are most often used collaboratively and may involve several people or departments. For this reason, they are implemented in a “client-server” architecture and generally designed for ease of use. The server component integrates connectivity, access management, user rights and profiles, while the client offers ergonomic interfaces for graphic and intelligible representation of data.