Data warehousing and decision making in construction organizations

被引:0
|
作者
Ahmad, I [1 ]
Nunoo, C [1 ]
机构
[1] Florida Int Univ, Dept Civil & Environm Engn, Miami, FL 33199 USA
关键词
D O I
暂无
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
In today's global and competitive construction industry, the need to make better and quicker decisions is critical; and the key to success is information. Timely access to useful and meaningful information can enable construction companies gain competitive edge, increase client satisfaction,expand market share and enhance profitability. It is evident that mounting business and economic pressures are forcing companies to radically redesign their information technology infrastructures. Vast amounts of construction operational data are scattered across multiple, dispersed and fragmented departments, units or project sites. To support collaborative construction, it is important not only to share the information, but also to manage that information in a manner that promotes meaningful integration. In this paper, we present data warehousing as an emerging database management technology that can provide the platform for information integration. We point out the difference between an operational database - used for transaction processing; and data warehouse - intended to be used for analytic processing in management decision making in the context of construction organizations. In addition, we show how data warehousing concept can be integrated into decision support systems of a construction organization.
引用
收藏
页码:109 / 118
页数:10
相关论文
共 50 条
  • [21] Data-Driven Decision-Making Process: The Case of Polish Organizations
    Palonka, Joanna
    Begovic, Din
    [J]. PROCEEDINGS OF THE 13TH INTERNATIONAL CONFERENCE ON INTELLECTUAL CAPITAL KNOWLEDGE MANAGEMENT & ORGANISATIONAL LEARNING (ICICKM 2016), 2016, : 216 - 224
  • [22] Active data warehousing: A new breed of decision support
    Brobst, S
    [J]. 13TH INTERNATIONAL WORKSHOP ON DATABASE AND EXPERT SYSTEMS APPLICATIONS, PROCEEDINGS, 2002, : 769 - 769
  • [23] Study on Warehousing Decision-making Model of Tobacco Distribution Center
    Gao Zhan
    [J]. MANAGEMENT ENGINEERING AND APPLICATIONS, 2010, : 318 - 322
  • [24] The benefits of data warehousing: why some organizations realize exceptional payoffs
    Watson, HJ
    Goodhue, DL
    Wixom, BH
    [J]. INFORMATION & MANAGEMENT, 2002, 39 (06) : 491 - 502
  • [25] A hybrid decision-making-aided process for classified products warehousing
    Trab, Sourour
    Bajic, Eddy
    Zouinkhi, Ahmed
    Abdelkrim, Mohamed Naceur
    [J]. 2018 15TH INTERNATIONAL MULTI-CONFERENCE ON SYSTEMS, SIGNALS AND DEVICES (SSD), 2018, : 704 - 709
  • [26] Optimal Decision-making on Product Ranking For Crossdocking/Warehousing Operations
    Li, Zhengping
    Low, Malcolm Yoke Hean
    Lim, Yuan Guan
    Ma, Bin
    [J]. 2008 6TH IEEE INTERNATIONAL CONFERENCE ON INDUSTRIAL INFORMATICS, VOLS 1-3, 2008, : 836 - +
  • [27] Transforming Data into Decision Making: A Spotlight Review of Construction Digital Twin
    Liu, Yuhan
    Chen, Ke
    Ma, Ling
    Tang, Shu
    Tan, Tan
    [J]. ICCREM 2021: CHALLENGES OF THE CONSTRUCTION INDUSTRY UNDER THE PANDEMIC, 2021, : 289 - 296
  • [28] Data warehousing and decision support at the national agricultural statistics service
    Yost, M
    [J]. SOCIAL SCIENCE COMPUTER REVIEW, 2000, 18 (04) : 434 - 441
  • [29] Evaluating the impact of big data analytics usage on the decision-making quality of organizations
    Li, Lei
    Lin, Jiabao
    Ouyang, Ye
    Luo, Xin
    [J]. TECHNOLOGICAL FORECASTING AND SOCIAL CHANGE, 2022, 175
  • [30] Decision-Making based on Big Data Analytics for People Management in Healthcare Organizations
    Maria José Sousa
    António Miguel Pesqueira
    Carlos Lemos
    Miguel Sousa
    Álvaro Rocha
    [J]. Journal of Medical Systems, 2019, 43