Building the data warehouse (2nd ed.)
Building the data warehouse (2nd ed.)
CROSS-DB: a feature-extended multidimensional data model for statistical and scientific databases
CIKM '96 Proceedings of the fifth international conference on Information and knowledge management
An overview of data warehousing and OLAP technology
ACM SIGMOD Record
OLAP and statistical databases: similarities and differences
PODS '97 Proceedings of the sixteenth ACM SIGACT-SIGMOD-SIGART symposium on Principles of database systems
The Unified Modeling Language user guide
The Unified Modeling Language user guide
The Unified Modeling Language reference manual
The Unified Modeling Language reference manual
Improving query response time in scientific databases using data aggregation -a case study
DEXA '96 Proceedings of the 7th International Workshop on Database and Expert Systems Applications
Modeling the Behavior of OLAP Applications Using an UML Compilant Approach
ADVIS '00 Proceedings of the First International Conference on Advances in Information Systems
EDBT'04 Proceedings of the 2004 international conference on Current Trends in Database Technology
Data refinement in a market research applications' data production process
Data Management in a Connected World
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Slice&dice and drilling operations are key concepts for ad-hoc data analysis in state-of-the-art data warehouse and OLAP (On-Line Analytical Processing) systems. While most data analysis operations can be executed on that basis from a functional point of view, the representation requirements of applications in the SSDB (Scientific&Statistical DataBase) area by far exceed the means typically provided by OLAP systems. In the first part of the paper, we contrast the data analysis and representation approaches in the OLAP and SSDB field and develop a generalized model for the representation of complex reports in data warehouse environments. The second part of the paper describes the implementation of this model from a report definition, management and execution perspective. The research and implementation work was executed in the data warehouse project at GfK Marketing Services, a top-ranked international market research company. Various examples from the market research application domain will demonstrate the benefits of the work over other approaches in the data warehouse and OLAP domain.