The IRMA Community
Newsletters
Research IRM
Click a keyword to search titles using our InfoSci-OnDemand powered search:
|
A Methodology Supporting the Design and Evaluating the Final Quality of Data Warehouses
Abstract
The design and configuration of a data warehouse can be difficult tasks especially in the case of very large databases and in the presence of redundant information. In particular, the choice of which attributes have to be considered as dimensions and measures can be not trivial and it can heavily influence the effectiveness of the final system. In this article, we propose a methodology targeted at supporting the design and deriving information on the total quality of the final data warehouse. We tested our proposal on three real-word commercial ERP databases.
Related Content
|
Vincent Lennard Kraus.
© 2023.
32 pages.
|
|
Tlou Maggie Masenya.
© 2023.
16 pages.
|
|
Arzu Tufan, Gurkan Tuna.
© 2023.
30 pages.
|
|
Wasswa Shafik.
© 2023.
19 pages.
|
|
Calvin Nobles, Sharon L. Burton, Darrell Norman Burrell.
© 2023.
23 pages.
|
|
Darrell Norman Burrell, Calvin Nobles, Austin Cusak, Laura Ann Jones, Jorja B. Wright, Horace C. Mingo, Jennifer Ferreras-Perez, Katrina Khanta, Philip Shen, Kevin Richardson.
© 2023.
16 pages.
|
|
Jorja B. Wright, Darrell Norman Burrell.
© 2023.
12 pages.
|
|
|