DATA WAREHOUSE PYRAMIDAL SCHEMA ARCHITECTURE - SUPPORT FOR BUSINESS INTELLIGENCE SYSTEMS

被引:0
|
作者
Popa, Aida-Maria [1 ]
机构
[1] Acad Econ Studies, Bucharest, Romania
关键词
business intelligence; data warehouse; making-decision process; pyramidal schema;
D O I
暂无
中图分类号
F8 [财政、金融];
学科分类号
0202 ;
摘要
This paper aims to present a new schema for data organizations in data warehouses. The,concept of pyramidal schema is designed to achieve a closer relation between the data warehouse and Business Intelligence technology. Data orientation on modules and interest plans aims at identifying has the objective to identify which data is necessary for each module and which aspects are pursued by the organization's management for business development. This ongoing research has been conducted based on existing data warehouse's schemas which are successfully used in business intelligence systems architectures. This paper will focus on how pyramidal schema can be an efficient solution for decision-making process at the level of organization's management. The subject adapts to the current development trend of companies where data warehouse is used more frequently for storing a large volume of data and for complex analysis along with a business intelligence system.
引用
收藏
页码:375 / 380
页数:6
相关论文
共 50 条
  • [41] Business intelligence solutions from reports, to data warehouse tools, to analytic apps for e-business
    Michel, Roberto
    [J]. Manufacturing Systems, 2000, 18 (12):
  • [42] Business rules for data warehouse
    Kaula, Rajeev
    [J]. World Academy of Science, Engineering and Technology, 2009, 35 : 951 - 959
  • [43] Reference System Architecture for Trade Promotion Management Leveraging Business Intelligence Technologies and Decision Support Systems
    Balmus, Andra Bianca
    Iacob, Maria Eugenia
    van Sinderen, Marten
    van Busschbach, Murk
    [J]. 13TH IEEE INTERNATIONAL CONFERENCE ON COMMERCE AND ENTERPRISE COMPUTING (CEC 2011), 2011, : 179 - 184
  • [44] Visualization and Simulation in Data Processing with the Support of Business Intelligence
    Janakova, Milena
    [J]. DIGITAL INFORMATION PROCESSING AND COMMUNICATIONS, PT 1, 2011, 188 : 151 - 159
  • [45] Business Intelligence and Data Mining to Support Sales in Retail
    Castelo-Branco, Francisca
    Reis, Jose Luis
    Vieira, Jose Carvalho
    Cayolla, Ricardo
    [J]. MARKETING AND SMART TECHNOLOGIES, ICMARKTECH 2019, 2020, 167 : 406 - 419
  • [46] Datawarehouser: A Data Warehouse artist who have ability to understand data warehouse schema pictures
    Warnars, Harco Leslie Hendric Spits
    Randriatoamanana, Richard
    [J]. PROCEEDINGS OF THE 2016 IEEE REGION 10 CONFERENCE (TENCON), 2016, : 2205 - 2208
  • [47] How Can HRM Support Business Intelligence Systems?
    Guechtouli, Manelle
    [J]. HUMAN RESOURCE INFORMATION SYSTEMS, 2009, : 139 - 149
  • [48] Business Entity Warehouse: A New Design Method for Decision Support Systems from Business Entities
    Ben Abdallah, Mounira
    Jellali, Imen
    Haddar, Nahla
    Ben-Abdallah, Hanene
    [J]. ICSOFT-EA: PROCEEDINGS OF THE 11TH INTERNATIONAL JOINT CONFERENCE ON SOFTWARE TECHNOLOGIES - VOL. 1, 2016, : 141 - 148
  • [49] Data warehouse architecture and design
    Rifaie, Mohammad
    Kianmehr, Keivan
    Alhajj, Reda
    Ridleya, Mick J.
    [J]. PROCEEDINGS OF THE 2008 IEEE INTERNATIONAL CONFERENCE ON INFORMATION REUSE AND INTEGRATION, 2008, : 58 - +
  • [50] Data Warehouse Architecture Classification
    Blazic, G.
    Poscic, P.
    Jaksic, D.
    [J]. 2017 40TH INTERNATIONAL CONVENTION ON INFORMATION AND COMMUNICATION TECHNOLOGY, ELECTRONICS AND MICROELECTRONICS (MIPRO), 2017, : 1491 - 1495