Abstract
Due to the large volume of information currently stored in the databases, more and more companies are making use of the data warehouse (DW) approach as an efficient way of storing and retrieving information in order to support strategic decisions. This paper presents the use of the Mondrian OLAP server in a sugar cane harvesting planning system. Mondrian is an OLAP server written in Java which enables anyone to interactively analyze very large datasets stored in SQL databases without writing SQL queries. The paper covers the use of this technology in a data warehouse built from information of a database implemented in PlanCol which is a strategic information system that among other features implements the management and planning of sugar cane harvesting.
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