Open Data Visual Analytics to Support Decisions on Physical Investments

被引:1
|
作者
Wasesa, Meditya [1 ]
Mashuri, M. [2 ]
Handayani, Putri [3 ]
Putro, Utomo S. [1 ]
机构
[1] Bandung Inst Technol, Sch Business & Management, Jl Ganesha 10, Bandung, Indonesia
[2] Indonesian Ctr Logist & Value Chains, Jl Sarijadi Baru III 15, Bandung, Indonesia
[3] Univ Utrecht, Water Sci & Management Masters Programme, Utrecht, Netherlands
关键词
Open Data; Visual Analytics; Descriptive Analytics; Spatiotemporal Data; Physical Investment; BUSINESS INTELLIGENCE; DESIGN SCIENCE; CURRENT STATE; SYSTEMS;
D O I
10.1016/j.procs.2019.11.185
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Before making decisions about the location of physical investments (e.g. factories, warehouses, stores, etc.), investors have to conduct thorough profiling on the prospective locations of the physical facilities. For this profiling purpose, investors consider a number of important aspects such as the location's local resources, market size, economic growth, regional minimum wage (salary) standard, land acquisition cost, human development index, and gross domestic product (GDP). While conducting manual research on those decision variables can cost extensive time and efforts, in this article, we present an open data visual analytics which will help investors in making decisions on the prospective location of physical investments. Investors can use the web-based application to easily gather information and do a quick comparison among prospective investment locations in terms of the selected decision variables. (C) 2019 The Authors. Published by Elsevier B.V.
引用
收藏
页码:797 / 804
页数:8
相关论文
共 50 条
  • [1] Visual Analytics of Complex Genomics Data to Guide Effective Treatment Decisions
    Quang Vinh Nguyen
    Khalifa, Nader Hasan
    Alzamora, Pat
    Gleeson, Andrew
    Catchpoole, Daniel
    Kennedy, Paul J.
    Simoff, Simeon
    JOURNAL OF IMAGING, 2016, 2 (04)
  • [2] Making and Trusting Decisions in Visual Analytics
    Han, Wenkai
    2021 IEEE WORKSHOP ON TRUST AND EXPERTISE IN VISUAL ANALYTICS (TREX 2021), 2021, : 14 - 19
  • [3] A visual-based toolkit to support mobility data analytics
    Di Martino, Sergio
    Landolfi, Enrico
    Mazzocca, Nicola
    di Torrepadula, Franca Rocco
    Starace, Lucio Libero Lucio
    EXPERT SYSTEMS WITH APPLICATIONS, 2024, 238
  • [4] Big Data Analytics to Support Open Innovation Strategies in Banks
    Aspiranti, Tasya
    Ali, Qaisar
    Amaliah, Ima
    RISKS, 2023, 11 (06)
  • [5] Exploiting Data Analytics and Deep Learning Systems to Support Pavement Maintenance Decisions
    Roberts, Ronald
    Inzerillo, Laura
    Di Mino, Gaetano
    APPLIED SCIENCES-BASEL, 2021, 11 (06):
  • [6] A Need for Exploratory Visual Analytics in Big Data Research and for Open Science
    Tanaka, Yuzuru
    Sjobergh, Jonas
    Takahashi, Keisuke
    PROCEEDINGS 2016 20TH INTERNATIONAL CONFERENCE INFORMATION VISUALISATION IV 2016, 2016, : 261 - 270
  • [7] Visual analytics of set data for knowledge discovery and member selection support
    Watanabe, Ryuji
    Ishibashi, Hideaki
    Furukawa, Tetsuo
    DECISION SUPPORT SYSTEMS, 2022, 152
  • [8] Decisions Through Data: Analytics in Healthcare
    Wills, Mary J.
    JOURNAL OF HEALTHCARE MANAGEMENT, 2014, 59 (04) : 254 - 262
  • [9] Visual Analytics Support for Intelligence Analysis
    Goerg, Carsten
    Kang, Youn-ah
    Liu, Zhicheng
    Stasko, John
    COMPUTER, 2013, 46 (07) : 30 - 38
  • [10] SPOT: Open source visual data analytics platform for high-dimensional scientific data
    Diblen, F.
    Attema, J. J.
    Bakhshi, R.
    Stienen, B.
    Hendriks, L.
    Caron, S.
    2018 IEEE 14TH INTERNATIONAL CONFERENCE ON E-SCIENCE (E-SCIENCE 2018), 2018, : 411 - 411