In this article we present an interesting result on consolidating several one-warehouse multiretailer systems with deterministic customer demands. We examine the inventory cost impact of decreasing the number of warehouses used (by possibly re-assigning retailers to other warehouses). We prove that (i) using only two properly selected warehouses, we can ensure that the system-wide inventory cos...

This paper proposes an enterprise modeling framework for the deployment of data warehouses. The framework provides the information roadmap coordinating source data and different data warehouses across the business enterprise. The paper introduces a solution to address data warehousing issues at the enterprise level while avoiding the pitfalls of creating enterprise data warehouses and universal...

Data warehouses are large data repositories integrating data from several sources that support decision making. Although, traditionally, data warehouses have been designed using the ‘well-known’ star schema, some design methodologies have come into existence in recent times. These new methodologies have not only focused on logical design: they also propose performing a conceptual modeling using...

This paper presents a framework for warehousing selected Web contents. In this framework, a hybrid (partially materialized) approach and extended ontologies are used to achieve Web data integration. This hybrid approach makes it possible to integrate DW data with Web-based information resources as they are needed. The Ontologies are used to represent domain knowledge related to Web sources and ...

Data Warehouses and on-line analytical processing (OLAP) systems are a promising area for the application of Abstract State Machines (ASMs). In this paper a ground model specification for data warehouses is sketched that is based on the fundamental idea of separating input from operational databases and output to OLAP systems. On this basis we start defining formal refinement rules for such sys...

The shift from version 9 to version 10 of the ICD-code (“International Statistical Classification of Diseases and Related Health Problems”) causes enormous problems for the exploitation of medical data warehouses, since conventional data warehouses do not support the change of the structure of dimensions, i.e. the content and relationships of master data like the diagnostic codes, or other key ...

Data Warehouses are a crucial technology for current competitive organizations in the globalized world. Size, speed and distributed operation are major challenges concerning those systems. Many data warehouses have huge sizes and the requirement that queries be processed quickly and efficiently, so parallel solutions are deployed to render the necessary efficiency. Distributed operation, on the...

Data warehouses are users driven; that is, they allow end-users to be in control of the data. As user satisfaction is commonly acknowledged as the most useful measurement of system success, we identify the underlying factors of end-user satisfaction with data warehouses and develop an instrument to measure these factors. The study demonstrates that most of the items in classic end-user satisfac...