As data warehousing has evolved to become the technology of choice for developing data infrastructure in virtually every large company and many other mediumand small-sized firms, data warehousing has also received extensive research attentions from both academics and practitioners. Although several previous studies have investigated success factors and implementation of data warehousing, only f...

Corporations are increasingly turning to data warehouses for support of critical corporate decision-making; however, much remains to be learned about the success of data warehousing. Building a data warehouse is no small endeavor, requiring considerable resources from the corporation in terms of both time and money. Ensuring the success of the system will generate for the firm a return on its c...

A data warehouse (DW) is a database used for reporting Paper describes Object Oriented Data Warehousing using a narrower compassed data model. The data is offloaded from the operational systems for reporting. The data may pass through an operational data store for additional operations before it is used in the Data warehousing for reporting. An Object Oriented Data Warehouse system includes a d...

Large volumes of heterogeneous health data silos pose a big challenge when exploring for information to allow for evidence based decision making and ensuring quality outcomes. In this paper, we present a proof of concept for adopting data warehousing technology to aggregate and analyse disparate health data in order to understand the impact various lifestyle factors on obesity. We present a pra...

An estimated 95 percent of the Fortune 1000 companies either have a data warehouse in place or are planning to develop one [2]. The Palo Alto Management Group predicts that the data warehousing market will grow to a $113.5 billion market in 2002, including the sales of systems, software, services, and in-house expenditures [1]. These trends indicate that data warehousing continues to be an impo...

Data Warehousing tools have become very popular and currently many of them have moved to Web-based user interfaces to make it easier to access and use the tools. The next step is to enable these tools to be used within a portal framework. The portal framework consists of pages having several small windows that contain individual data warehouse query results. There are several issues that need t...

This paper is a report of the panel session of the same name held at the 1 st International Workshop on Data Warehousing and Data Mining (DWDM'98) held in Singapore in November 1998. The purpose of the panel was to discover the views of researchers in the field in order to encourage research in data warehousing and data mining to be directed in the most profitably manner and to discuss issues r...

CRM is a strategy that integrates concepts of knowledge management, data mining, and data warehousing in order to support an organization’s decision-making process to retain long-term and profitable relationships with its customers. This research is part of a long-term study to examine systematically CRM factors that affect design decisions for CRM data warehouses in order to build a taxonomy o...