Measuring user satisfaction with data warehouses: an exploratory study
Generate an AI Snapshot to get a quick, structured summary of this paper.
A concise AI-generated summary of the paper will appear here once you click Generate AI Snapshot.
TL;DR
The study demonstrates that most of the items in classic end-user satisfaction measure are still valid in the data warehouse environment, and that end- user satisfaction with data warehouses depends heavily on the roles and performance of organizational information centers.
Abstract
Data warehouses are users driven; that is, they allow end-users to be in control of the data. As user satisfaction is commonly acknowledged as the most useful measurement of system success, we identify the underlying factors of end-user satisfaction with data warehouses and develop an instrument to measure these factors. The study demonstrates that most of the items in classic end-user satisfaction measure are still valid in the data warehouse environment, and that end-user satisfaction with data warehouses depends heavily on the roles and performance of organizational information centers.
