This paper describes how a performance data warehouse can be used to facilitate business process improvement that is based on holistic performance measurement. The feasibility study shows how management and analysis of performance data can be facilitated by a data warehouse approach. It is argued that many of the shortcomings of traditional measurement systems can be overcome with this performa...

This paper addresses issues related to Knowledge Management in the context of heterogeneous data warehouse environments. The traditional notion of data warehouse is evolving into a federated warehouse augmented by a knowledge repository, together with a set of processes and services to support enterprise knowledge creation, refinement, indexing, dissemination and evolution.

This paper analyzed the model design process of data warehouse project and the various factors which affected the performance in data warehouse model design. Then the author introduced the multistage fuzzy comprehensive evaluation method, and studied its application to the data warehouse’s model performance evaluation, and gave the performance measure model of data warehouse based on multistage...

IntroductIon Enhanced knowledge warehouse (eKW) is an extension of the enhanced data warehouse (eDW) system (Abramowicz, 2002). eKW is a Web services-based system that allows the automatic filtering of information from the Web to the data warehouse and automatic retrieval through the data warehouse. Web services technology extends eKW beyond the organization. It makes the system open and allows...

In recent years, the number of digital information storage and retrieval systems has increased immensely. Data warehousing has been found to be an extremely useful technology for integrating such heterogeneous and autonomous information sources. Data within the data warehouse is modelled in the form of a star or snowflake schema which facilitates business analysis in a multidimensional perspect...

The bi-objective warehouse problem in a crisp environment is often not eective in dealing with the imprecision or vagueness in the values of the problem parameters. To deal with such situations, several researchers have proposed that the parameters be represented as fuzzy numbers. We describe a new algorithm for fuzzy bi-objective warehouse problem using a ranking function followed by an applic...

The data warehousing approach intends to exploit a very large volume of data to make relevant decisions. In this paper, we deal with objectoriented data warehouse design. More precisely, we present an object-oriented data warehouse model, integrating temporal and archive data. We provide functions allowing the administrator to specify a data warehouse from a global source schema.

User participation has become paramount for any successful data warehouse initiative. In this paper, we present MD2, a tool based on the dimensional data modeling approach, which facilitates the user participation in the development of a data warehouse application. MD2 assists users on identifying their analytical needs in order to help data warehouse designers to better specify business requir...

DATA WAREHOUSING and Online Analytical Processing (OLAP) are essential elements of decision support, which has increasingly become a focus of the database industry. Data Warehouse provides an effective way for the analysis and statistic to the mass data and helps to do the decision making. Many commercial products and services are now available and all of the principal database management syste...

Running analytical queries directly against the huge raw data volume of a data warehouse results in unacceptable query performance. The solution to this problem is storing materialized views in the warehouse, which pre-aggregate the data and thus avoid raw data access and speed up queries. In this paper, at first the problems concerning the selection of the right pre-aggregations and their util...