![A framework for data warehouse refresh policies [An article from: Decision Support Systems]](https://www.ebooknetworking.net/books/B00/0P6/bigB000P6OPMI.jpg)
A framework for data warehouse refresh policies [An article from: Decision Support Systems]
Book Details
Author(s)
M.V. Mannino, Z. Walter
Publisher
Elsevier
ISBN / ASIN
B000P6OPMI
ISBN-13
978B000P6OPM6
Availability
Available for download now
Sales Rank
#99,999,999
Marketplace
United States 🇺🇸
Description
This digital document is a journal article from Decision Support Systems, published by Elsevier in 2006. The article is delivered in HTML format and is available in your Amazon.com Media Library immediately after purchase. You can view it with any web browser.
Description:
In a field study to explore influences on data warehouse refresh policies, we interviewed data warehouse administrators from 13 organizations about data warehouse details and organizational background. The dominant refresh strategy reported was daily refresh during nonbusiness hours with some deviations due to operational decision making and data source availability. As a result of the study, we developed a framework consisting of short-term and long-term influences of refresh policies along with traditional information system success variables influenced by refresh policies. The framework suggests the need for research about process design, data timeliness valuation, and optimal refresh policy design.
Description:
In a field study to explore influences on data warehouse refresh policies, we interviewed data warehouse administrators from 13 organizations about data warehouse details and organizational background. The dominant refresh strategy reported was daily refresh during nonbusiness hours with some deviations due to operational decision making and data source availability. As a result of the study, we developed a framework consisting of short-term and long-term influences of refresh policies along with traditional information system success variables influenced by refresh policies. The framework suggests the need for research about process design, data timeliness valuation, and optimal refresh policy design.
