AN EMPIRICAL INVESTIGATION OF THE FACTORS AFFECTING DATA WAREHOUSING SUCCESS.

Author List: Hayen, Roger L.; Rutashobya,Cedric D.; Vetter, Daniel E.;

MIS Quarterly, 2001, Volume 25, Issue 1, Page 1/1/2017.

Based on the research of Barbara H. Wixom and Hugh J. Watson, managers should strive to implement data warehouses that have high data quality and especially high system quality. The keys to achieving high system quality appear to be high-quality project management and successful acceptance of and integration of the data warehouse into the organization. The factors associalted with achieving high data quality in a data warehousing environment, however, are still a research issue.

Keywords:

Algorithm:

List of Topics

#6	0.259	data used develop multiple approaches collection based research classes aspect single literature profiles means crowd collected trend accuracy databases accurate
#198	0.159	factors success information critical management implementation study factor successful systems support quality variables related results key model csf importance determinants
#115	0.157	quality different servqual service high-quality difference used quantity importance use measure framework impact assurance better include means van dimensions assessing
#165	0.101	uncertainty contingency integration environmental theory data fit key using model flexibility perspective environment perspectives high conditions processing examine issue uncertain
#85	0.091	executive information article systems presents eis executives overview computer-based scanning discusses investigation support empirical robert executive's keys richard managerial chief
#74	0.081	high low level levels increase associated related characterized terms study focus weak hand choose general lower best predicted conditions implications