TY  - JOUR
T1  - Data Warehouse Conceptual Design-A Literature Survey
AU - Mat Yusof, Sharmila AU - Sidi, Fatimah AU - Ibrahim, Hamidah AU - Suriani Affendey, Lilly 
JO  - Journal of Engineering and Applied Sciences
VL  - 12
IS  - 16
SP  - 4208
EP  - 4214
PY  - 2017
DA  - 2001/08/19
SN  - 1816-949x
DO  - jeasci.2017.4208.4214
UR  - https://makhillpublications.co/view-article.php?doi=jeasci.2017.4208.4214
KW  - Data warehouse
KW  -conceptual design
KW  -multidimensional model
KW  -surve
KW  -provide
KW  -DW conceptual
AB  - Data Warehouse (DW) can provide an excellent approach in transforming Online Transaction
Processing (OLTP) data into useful and reliable information to support organization’s decision making. As
such, it can be a basis for data analysis techniques such as multidimensional analysis and data mining.
However, DW design process has been known as a complex task that requires systematic and structured
approach to guarantee its success. Therefore, there have been various methodologies proposed to carry out
the design process which can be classified into requirement-driven, data-driven and hybrid approaches. In this
study, a literature survey was made to obtain related works by a set of pertinent key words related to DW
conceptual design. The objective of this survey is to provide the state of the art of DW conceptual design
methodologies in narrative and summarized forms. The main contribution is to provide understanding of the
trend, issues and solutions proposed to date in DW conceptual design and along the way to discover the novel
and great contribution works that form an important basis in the DW conceptual design.
ER  -