  The data warehousing and OLAP technologies are now moving onto handling
complex data that mostly originate from the Web. However, intagrating such data
into a decision-support process requires their representation under a form
processable by OLAP and/or data mining techniques. We present in this paper a
complex data warehousing methodology that exploits XML as a pivot language. Our
approach includes the integration of complex data in an ODS, under the form of
XML documents; their dimensional modeling and storage in an XML data warehouse;
and their analysis with combined OLAP and data mining techniques. We also
address the crucial issue of performance in XML warehouses.
