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...

Warehouse is one of the most important components in logistics of the supply chain network. Efficiency of warehouse operations is influenced by many different factors. One of the key factors is the racks layout configuration. A warehouse with good racks layout may significantly reduce the cost of warehouse servicing. The objective of this paper is to give a scheme for building warehouses models...

We propose a manner to develop Digital Libraries (DL), using Data Warehousing (DWing) and Data Mining (DMining) Techniques. This DL will be a component of an Elearning environment and will assist the students in a specified course. This will help them in their studies and researches, once the Web will be filtered by Data Mining techniques on the subject they need. We propose components of the D...

In data warehousing, Extract-Transform-Load (ETL) extracts the data from data sources into a central data warehouse regularly for the support of business decision-makings. The data from transaction processing systems are featured with the high frequent changes of insertion, update, and deletion. It is challenging for ETL to propagate the changes to the data warehouse, and maintain the change hi...

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...

Data warehouse projects are notoriously difficult to manage and many of them end in failure. One explanation for the high failure rate is that managers are not taking prudent measures to assess and manage the risks involved in the data warehouse project. In this paper we introduce the goaldriven risk management approach of the easyREMOTE framework. We classify the risks of a data warehouse syst...

Warehouse Control System (WCS) aims to manage a broad range of facilities in the warehouse. WCS is different from warehouse management system (WMS). It manages and controls facilities (e.g. equipment) in the warehouse while WMS manages orders in the warehouse. A WCS controls a number of equipment simultaneously while an equipment control system (ECS) controls individual machine. We analysed key...