Data Warehousing: from Occasional OLAP to Real-time Business Intelligence (Dagstuhl Seminar 11361)

Abstract

This report documents the outcomes of the Dagstuhl Seminar 11361 "Data Warehousing: from Occasional OLAP to Real-time Business Intelligence". In the past, data warehousing and analytical processing (OLAP) have produced fundamental and important technologies for the design, management, and use of information systems for decision support. Indeed, many industrial and administrative organizations have successfully used data warehouses to collect essential indicators that help them improve their business processes and their decision making efforts. Recent developments like column stores instead of row stores at the physical level, real-time data warehousing and Business Intelligence applications at the conceptual level, and decision support for new emerging applications have raised new research questions. This seminar has focused on the following five main topics: (i) Real-Time Data Warehouses and Business Intelligence, (ii) Spatio-Temporal Data Warehousing, (iii) Situational Business Intelligence, (iv) Query Processing in Data Warehouses, and (v) Knowledge Extraction and Management in Data Warehouses. These topics were discussed in parallel groups and each group identified open research issues and new challenges.