A framework for data warehouse refresh policies

摘要

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.