BibTeX
@TECHREPORT{Vassiliadis00datawarehouse,
author = {Panos Vassiliadis},
title = {Data Warehouse Modeling and Quality Issues},
institution = {},
year = {2000}
}
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Abstract
Data warehouses can be defined as `subject-oriented', integrated, time-varying, non-volatile collections of data that is used primarily in organizational decision making. Nowadays, data warehousing became an important strategy to integrate heterogeneous information sources in organizations, and to enable On-Line Analytic Processing (OLAP). Unfortunately, neither the accumulation, nor the storage process, seem to be completely credible. For example, it has been suggested in the literature that more than $2 billion of U.S. federal loan money have been lost because of poor data quality at a single agency, that manufacturing companies spent over 25% of their sales on wasteful practices, a number which came up to 40% for service companies. The question that arises, then, is how to organize the design, administration and evolution choices in such a way that all the different, and sometimes opposing, quality user requirements can be simultaneously satisfied. To tackle this problem, ...
Keyphrases
quality issue data warehouse modeling evolution choice important strategy poor data quality heterogeneous information source data warehouse storage process quality user requirement organizational decision making service company non-volatile collection data warehousing wasteful practice single agency u.s. federal loan money on-line analytic processing
