Dieser Beitrag beschreibt die Integration des SAP Business Information Warehouse (BW) und des Wissensmanagementsystems Knowledge Café der altavier GmbH. Nach kurzer Darlegung der Motivation werden die gewählte konzeptionelle Lösung sowie Möglichkeiten einer technischen Realisierung vorgestellt.

Data Warehouse systems aim at integrating data from multiple heterogeneous, distributed, autonomous data sources. Due to changing business needs the data warehouse systems are never meant to be static. Changes in the data source structure or business requirements would result in the evolution of data warehouse schema structure. When data warehouse schema evolves the dependent modules such as it...

3 The need for more flexible, adaptable and customer-oriented warehouse operations has been increasingly identified as an important issue by today’s warehouse companies due to the rapidly changing preferences of the customers that use their services. Motivated by manufacturing and other logistics operations, in this paper we argue on the potential application of product intelligence in warehous...

This paper presents the evaluation of the architecture of healthcare data warehouse specific to cancer diseases. This data warehouse containing relevant cancer medical information and patient data. The data warehouse provides the source for all current and historical health data to help executive manager and doctors to improve the decision making process for cancer patients. The evaluation mode...

Creating the Data Warehouse Data Model Moral: A good data warehouse model is a synthesis of diverse non-traditional factors. A data warehouse model must be comprehensive, current and dynamic, and provide a complete picture of the physical reality of the warehouse as it evolves. The data warehouse database schema should be generated and maintained directly from the model. The model not just a de...

This paper develops a controlling instrument for data warehouse systems based on the Balanced Scorecard BSC approach. On the basis of the technological aspects of data warehouse systems, the BSC perspectives are developed and populated with relevant objectives and measures for data warehouse success. These perspectives are integrated into a consistent data warehouse scorecard. Finally, this ins...

Data warehouse is a system which can integrate heterogeneous data sources to support the decision making process. Data warehouse design is a lengthy, time-consuming, and costly process. There has been a high failure in data warehouse development projects. Thus how to design and develop a data warehouse have become important issues for information systems designers and developers. This paper rev...

We consider a two-echelon single commodity inventory system with one warehouse(supplier) at the higher echelon and one retailer at the lower echelon. The retailer stocks individual items of a commodity and satisfies unit demands which occur according to a Poisson process. The supplier stocks these items in packets and uses these packetsto: (i) satisfy the demands that occur for single packet an...

Data Warehouse and Data mining are technologies that deliver optimallyvaluable information to ease effective decision making. This survey paper defines architecture of traditional data warehouse and ways in which data warehouse techniques are used to support academic decision making. This paper defines different data warehouse types and techniques used in educational environment to extract, tra...