Abstract
The Tragsa Group is part of the group of companies administered by
the Spanish state-owned holding company Sociedad Estatal de Participaciones
Industriales (SEPI). Its 37 years of experience have placed this business group
at the forefront of different sectors ranging from agricultural, forestry, livestock,
and rural development services, to conservation and protection of the environment
in Spain. Tragsa is currently developing a business case around the implementation
of a Common Agriculture Policy Assignment Service (CAPAS) –
an extension of a currently active and widely used service (more than 20 million
visits per year). The extension of the service in this business case is based on
leveraging new cross-sectorial data sources, and targets a substantial reduction
of incorrect agricultural funds assignments to farmers and land owners. This
paper provides an overview of the business case, technical challenges related to
the implementation of CAPAS (in areas such as data integration), discusses the
current solution and potential use of rule technologies.
the Spanish state-owned holding company Sociedad Estatal de Participaciones
Industriales (SEPI). Its 37 years of experience have placed this business group
at the forefront of different sectors ranging from agricultural, forestry, livestock,
and rural development services, to conservation and protection of the environment
in Spain. Tragsa is currently developing a business case around the implementation
of a Common Agriculture Policy Assignment Service (CAPAS) –
an extension of a currently active and widely used service (more than 20 million
visits per year). The extension of the service in this business case is based on
leveraging new cross-sectorial data sources, and targets a substantial reduction
of incorrect agricultural funds assignments to farmers and land owners. This
paper provides an overview of the business case, technical challenges related to
the implementation of CAPAS (in areas such as data integration), discusses the
current solution and potential use of rule technologies.