The Traditional data warehouse did not contain data as today. Hence, it is difficult to retrieve these data and treat them. Furthermore, its content is not updated, which may lead to bad decisions. Data are typically loaded from conventional operational systems. Given that today’s decisions, in the business world, are becoming more and more in real time. Thus, the system supporting these decisi...

DWT is a tool for the maintenance of data warehouse structures based on the temporal data warehouse model COMET. Data warehouse systems do not provide support for maintaining changes in dimension data. DWT allows keeping track of modifications made in the dimension-structure of multidimensional cubes stored in an OLAP (On-Line Analytical Processing) system. We present the overall structure of t...

The data warehouse is not a new practice in the IT world, all the domains which have data can make a decision system, data warehouse, to exploit well the generated knowledge we have to maintain the good conditions to have a good decision making. By the application of the best practice of ITIL, we limit the risks and the malfunction of a data warehouse, and by the addition of a layer which treat...

This paper proposes a web warehouse based approach to facilitating efficiency improvement, information sharing and service personalization for the World Wide Web. We will overview various functions of a web warehouse by considering the following applications: (1) a web warehouse as shared information repository, (2) a web warehouse as large-scale intelligent cache. We conclude that web warehous...

In twenty-first century, automated stereoscopic warehouse has attracted many attentions of the enterprises because it has high working efficiency. The operation efficiency and management benefit of an automated stereoscopic warehouse are affected directly by the order picking efficient, it is an important symbol of service level about the automated stereoscopic warehouse. This paper from the pe...

Poor quality of data in a warehouse adversely impacts the usability of the warehouse and managing data quality in a warehouse is very important. In this article we describe a framework for managing data quality in a data warehouse. This framework is of interest to both academics and practitioners as it offers an intuitive approach for not just managing data quality in a data warehouse but also ...

Intelligent and comprehensive data warehouse systems are a powerful instrument for organizations to analyze their business. The implementation of such decision systems for an enterprise-wide management and decision support can be very different from traditional software implementations. Because data warehouse systems are strongly data-driven, the development process is highly dependent on its u...

Original scientific paper Warehouse management is one of the most important legs in supply chain operations and production management. To support that warehouse execution, a warehouse management system is required. Many warehouses have used various methods to handle this difficult and time consuming evaluation process. The purpose of this paper is to provide a decision support model to make a c...

Using ProModel simulation language, a universal warehouse storage simulation model has been developed. Applications of the model have been executed with success to analyze the storage capacity and rack efficiency of a medium volume, low stock-keeping unit (SKU) warehouse and a medium volume, large SKU warehouse. The model is scaleable and can be modified to simulate any warehouse configuration,...

Solving data quality problems is important for data warehouse construction and operation. This paper is based on developing a web log warehouse. It proposes a data quality problem methodology for data preprocessing within the log warehouse. It provides a hierarchical data warehouse architecture that is suitable for resource saving and ad hoc requirements. The data preprocessing is completed usi...