Spatial Data warehouses and Spatial OLAP systems are Business Intelligence technologies allowing efficient and interactive analysis of large geo-referenced datasets. In such a kind of systems the goodness of analysis depends on: The warehoused data quality, how aggregations are performed, and how warehoused data are explored. In this paper, we propose a framework based on a UML profile and OCL-defined integrity constraints to grant quality in the whole SOLAP system. We also propose an automatic implementation in a classical ROLAP architecture to validate our proposal.