CUSTOMER DATA WAREHOUSE FOR RAILWAYS BUSINESS DEVELOPMENT

被引:0
|
作者
Popa, Aida-Maria [1 ]
机构
[1] Bucharest Univ Econ Studies, Bucharest, Romania
来源
PROCEEDINGS OF THE 16TH INTERNATIONAL CONFERENCE ON INFORMATICS IN ECONOMY (IE 2017): EDUCATION, RESEARCH & BUSINESS TECHNOLOGIES | 2017年
关键词
customer data warehouse; customer relationship management; data warehouse; railway transport;
D O I
暂无
中图分类号
F [经济];
学科分类号
02 ;
摘要
The aim of this paper is to highlight the important of using a customer data warehouse in context of railway transport, especially when it is desired to develop this form of transport for freight and passengers. In the paper can be we theoretical issues related to customer data warehouse, the benefits of implementation of this within a business and the advantages and disadvantages for both passengers and freight transport. Customer data warehouses are decision-support tools that can be used to help the railway companies to analyze and achieve data collected from may type of data sources, to help management to provide strategies for short and long term business development. To achieve this objective data warehouses are used to analyze historical data, for instance to predict trends. Alto the paper presents a schema of data categories stored in a customer data warehouse and the results obtain by using OLAP, data-mining and other data analysis tools.
引用
收藏
页码:339 / 343
页数:5
相关论文
共 50 条
  • [1] A business-oriented approach to data warehouse development
    Cravero Leal, A.
    Mazon, J. N.
    Trujillo, J.
    INGENIERIA E INVESTIGACION, 2013, 33 (01): : 59 - 65
  • [2] Business rules for data warehouse
    Kaula, Rajeev
    World Academy of Science, Engineering and Technology, 2009, 35 : 951 - 959
  • [3] Data warehouse: A telecommunications business solution
    Papaiacovou, D
    Bramblett, LD
    Burgess, J
    PROCEEDINGS OF THE TWENTY-SECOND ANNUAL SAS USERS GROUP INTERNATIONAL CONFERENCE, 1997, : 1545 - 1549
  • [4] A Data Warehouse Approach for Business Intelligence
    Garani, Georgia
    Chernov, Andrey, V
    Savvas, Ilias K.
    Butakova, Maria A.
    2019 IEEE 28TH INTERNATIONAL CONFERENCE ON ENABLING TECHNOLOGIES: INFRASTRUCTURE FOR COLLABORATIVE ENTERPRISES (WETICE), 2019, : 70 - 75
  • [5] The virtual data warehouse for small business
    Schwarzkopf, AB
    ASSOCIATION FOR INFORMATION SYSTEMS PROCEEDING OF THE AMERICAS CONFERENCE ON INFORMATION SYSTEMS, 1997, : 467 - 469
  • [6] Data Warehouse Data Model Improvements from Customer Feedback
    Zemnickis, Janis
    BALTIC JOURNAL OF MODERN COMPUTING, 2023, 11 (03): : 475 - 499
  • [7] Construction of a bank customer data warehouse and an application of data mining
    Cui, Shaoying
    Ding, Ning
    PROCEEDINGS OF 2018 10TH INTERNATIONAL CONFERENCE ON MACHINE LEARNING AND COMPUTING (ICMLC 2018), 2018, : 161 - 166
  • [8] Interface Design and Development of ETL in the Telecommunications Business Data Warehouse Plat Form
    Gu He
    Zhao Yaohong
    APPLIED SCIENCE, MATERIALS SCIENCE AND INFORMATION TECHNOLOGIES IN INDUSTRY, 2014, 513-517 : 2236 - 2239
  • [9] A Data Warehouse Model for Business Processes Data Analytics
    Santos, Maribel Yasmina
    Oliveira e Sa, Jorge
    COMPUTATIONAL SCIENCE AND ITS APPLICATIONS - ICCSA 2016, PT V, 2016, 9790 : 241 - 256
  • [10] Quantum drives data warehouse to improve customer service
    不详
    DATAMATION, 1996, 42 (14): : 20 - 20