This panel paper will suggest some areas of research that I think people working in companies with data warehousing and business intelligence would like that the research community gave more attention.

Data warehouses (DWs) have become very successful in many enterprises, but only for relatively simple and traditional types of data. It is now time to extend the benefits of DWs to a much wider range of data, making it feasible to literally "warehouse ...

Expressing preferences when querying databases is a natural way to avoid empty results and information flooding, and in general to rank results so that the user may first see the data that better match his tastes. In this paper we outline the main ...

This article introduces the Observation-Orientation-Decision-Action (OODA) concept as a mean to identify three new desired technologies in business intelligence applications that improve the speed and quality in the decision making processes.

Discovering unexpected rules is essential, particularly for industrial applications with marketing stakes. In this context, many works have been done for association rules. However, none of them addresses sequences. In this paper, we thus propose to ...

Sequenced queries are queries that are conceptually evaluated at each time instant. Therefore, this kind of queries return functions of time. Some applications (e.g., traffic analysis) need support for sequenced queries on data about continuous changes. ...

Over the past ten to fifteen years, data warehouse platformshave grown enormously, both in terms of their importance and their sheer size. Traditionally, such systems have been based upon a dimensional model known as the Star Schema that consists of a ...

The demand for so-called living or real-time data warehouses is increasing in many application areas such as manufacturing, event monitoring and telecommunications. In these fields users usually expect short response times for their queries and high ...

In this paper, we deal with the problem of determining the best possible physical implementation of an ETL workflow, given its logical-level description and an appropriate cost model as inputs. We formulate the problem as a state-space problem and ...

In this paper we present a technique of compressing bitmap indexes for application in data warehouses. The developed compression technique, called Run-Length Huffman (RLH), is based on the run-length encoding and on the Huffman encoding. RLH was ...

Databases and data warehouses contain an overwhelming volume of information that users must wade through in order to extract valuable and actionable knowledge to supportthe decision-making process. This contribution addresses the problem of ...

Very large multidimensional arrays are commonly used in data intensive scientific computations as well ason-line analytical processing applications referred to as MOLAP. The storage organization of such arrays on disks is done by partitioning the large ...

A data warehouse cannot materialize all possible views, hence we must estimate quickly, accurately, and reliably the size of views to determine the best candidates for materialization. Many available techniques for view-size estimation make particular ...

The star schema is widely accepted as the de facto data model for data warehouse design. A popular approach for developing a star schema is to develop it from an entity-relationship diagram with some heuristics. Most of the existing approaches analyze ...

This paper presents a new approach to automate the multidimensional design of Data Warehouses. In our approach we propose a semi-automatable method aimed to find the business multidimensional concepts from a domain ontology representing different and ...

It is our great pleasure to welcome you at the 10_th ACM International Workshop on Data Warehousing and OLAP -- DOLAP'07. Continuing the tradition of previous successful DOLAP workshops, the DOLAP 2007 workshop provides an international forum where both ...