Overview Most of the books on data warehousing and business analysis automation are typically concerned with technical issues. Certain books also attempt to describe the overall organization of a data warehousing project – a challenging process that usually requires extraordinary skills and significant efforts. But there is the vital element of data warehousing methodology that makes DWs valuab...

Data warehousing, data marting, online analytical processing (OLAP) – these terms dominate discussions of enterprise decision support systems (DSS). At the same time, it is becoming increasingly clear that none of these product categories has a particularly stellar track record for improving the quality or quantity of commercial decisions. This is so because none of the technological answers to...

We describe the parallel, cluster-based implementation of an algorithm for the computation of a database operator known as the datacube. Though a number of efficient sequential algorithms have recently been proposed for this problem, very little research effort has been expended upon cost-effective parallelization techniques. Our approach builds directly upon the existing sequential proposals a...

Flexibility to react on rapidly changing general conditions of the environment has become a key factor for economic success of any company. The competitiveness of an enterprise is therefore to a large extent determined by the ability of its executives to deliver exact and just-in-time decisions. These decisions must be based on high-quality, up-to-date and complete information. This paper focus...

Information systems were developed in early 1960s to process orders, billings, inventory controls, payrolls, and accounts payables. Soon information systems research began. Harry Stern started the “Information Systems in Management Science” column in Management Science journal to provide a forum for discussion beyond just research papers (Banker & Kauffman, 2004). Ackoff (1967) led the earliest...

Healthcare Data Warehousing and Quality Assurance T he US allocates nearly a trillion dollars annually to healthcare expenditures—more than any other nation. However, this tremendous expenditure has not secured the US a rank among the healthiest nations. Instead, prolonged public debates on healthcare policy in the US have focused on insurance coverage and medical care financing programs, avoid...

Data warehouses are information repositories specialized in supporting decision making. Since the decisional process typically requires an analysis of historical trends, time and its management acquire a huge importance. In this paper we consider the variety of issues, often grouped under term temporal data warehousing, implied by the need for accurately describing how information changes over ...

In the last years, data warehousing systems have gained relevance to support decision making within organizations. The core component of these systems is the data warehouse and nowadays it is widely assumed that the data warehouse design must follow the multidimensional paradigm. Thus, many methods have been presented to support the multidimensional design of the data warehouse.The first method...

This paper is devoted to Secure Data Warehousing architecture and its data schemas We relate a feder ated databases architecture to Data Warehouse schemas which allows us to provide better understanding to the characteristics of every schema as well as the way they should be de ned Because of the con dentiality of data used to make decisions and the federated architecture used we also pay atten...

Technological advances in sensing technologies and wireless telecommunication devices enable novel research fields related to the management of trajectory data. As it usually happens in data management world, the challenge after storing the data is the implementation of appropriate analytics that could extract useful knowledge. However, traditional data warehousing systems and techniques were n...