Management issues in data warehousing: insights from the Housing and Development Board
Decision Support SystemsPublished 1 July 2000Open access
James S. Ang, Thompson S.H. Teo
Citations65
SJR quartileQ4
SJR score0.11
SNIP0.06
Generate an AI Snapshot to get a quick, structured summary of this paper.
Study Snapshot
ObjectiveStudy objective
MethodsResearch methodology
PopulationPopulation studied
Sample sizeSample sizes
OutcomesStudy outcomes here
ResultsStudy results comes here
LimitationsResearch study limitations comes here
A concise AI-generated summary of the paper will appear here once you click Generate AI Snapshot.
TL;DR
This paper examines data warehousing at the Housing and Development Board (HDB), which is responsible for providing affordable, high-quality public housing to Singapore citizens, and the experiences and lessons learned from building a data warehouse.
Abstract
10.1016/S0167-9236(99)00085-8
Keywords
Computer ScienceDecision Sciences
Apress eBooksBuilding a Data Warehouse
2,647 Citations2008Vincent Rainardi
This Second Edition of Building the Data Warehouse is revised and expanded to include new techniques and applications of data warehouse technology and update existing topics to reflect the latest thinking.
Communications of the ACMEnhancing data quality in data warehouse environments
268 Citations1999Donald P. Ballou, Giri Kumar Tayi
A conceptual framework for enhancing data quality in data warehouse environments is offered and the factors that should be considered, such as the current level of data quality, the levels of quality needed by the relevant decision processes, and the potential benefits of projects designed to enhance data quality are explored.
International Journal of Operations & Production ManagementCritical Success Factors in Manufacturing Resource PlanningImplementation
87 Citations1991O. Maxie Burns, David L. Turnipseed +1 more
Cornell Hotel and Restaurant Administration QuarterlyData Warehousing
17 Citations1998Robert K. Griffin
Interviews with managers of data-warehousing projects of the world's largest hotel corporations indicate that the hotel industry is just beginning to adopt the technology, some of them using data marts, which are smaller and more focused than data warehouses.