Review Study of Business Intelligence to Support Strategic Decision Making

被引:0
作者
Retnowardhani, Astari [1 ]
Sardjono, Wahyu [1 ]
Triana, Yaya Sudarya [2 ]
机构
[1] Bina Nusantara Univ Jakarta, BINUS Grad Program, Informat Syst Management Dept, Informat Syst Management, West Jakarta 11480, Indonesia
[2] Univ Mercu Buana Jakarta, Fac Comp Sci, Jakarta, Indonesia
来源
PROCEEDING OF 2019 INTERNATIONAL CONFERENCE ON ELECTRICAL ENGINEERING AND INFORMATICS (ICEEI) | 2019年
关键词
Business Intelligence; decision-making; review; BIG DATA ANALYTICS; SYSTEMS;
D O I
10.1109/iceei47359.2019.8988820
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
In this era the business competition between regions and countries will be more stringent. One way to survive and improve its performance is through the management of information, it is necessary to be able to see and assess the company from a variety of perspectives. One of the keys to surviving and playing a role is to manage complete, fast and precise information. Data analysis will be easy if the required data is available. Business intelligence techniques (BI) can be used to assist in the decision-making process. Many organization and educational institution have implemented BI as the support system. Therefore, we make a comparison study about BI research finding from several articles. From the comparison study it can be seen the research in the BI field is continues to grow and also following the technology trend. This can be seen from the topics discussed in the journal articles in the period 2010-2017. This study is conducted to see the spread and trend of business intelligence research in various forms of organization. Also can be seen the advantages of BI in the decision-making process.
引用
收藏
页码:19 / 24
页数:6
相关论文
共 25 条
  • [1] Memory Designing Using Quantum-Dot Cellular Automata: Systematic Literature Review, Classification and Current Trends
    Afrooz, Sonia
    Navimipour, Nima Jafari
    [J]. JOURNAL OF CIRCUITS SYSTEMS AND COMPUTERS, 2017, 26 (12)
  • [2] [Anonymous], 2007, DECISION SUPPORT SYS
  • [3] [Anonymous], 2010, DECISION SUPPORT KNO, V1
  • [4] Business Intelligence during times of crisis: Adoption and usage of ERP systems by SMEs
    Antoniadis, I
    Tsiakiris, T.
    Tsopogloy, S.
    [J]. PROCEEDINGS OF THE 3RD INTERNATIONAL CONFERENCE ON STRATEGIC INNOVATIVE MARKETING (IC-SIM 2014), 2015, 175 : 299 - 307
  • [5] Aznoli F., 2016, WIREL PERS COMMUN
  • [6] Bahrami M., 2012, Procedia-Social and Behavioral Sciences, V41, P160
  • [7] Challenges and Benefits of Deploying Big Data Analytics in the Cloud for Business Intelligence
    Balachandran, Bala M.
    Prasad, Shivika
    [J]. KNOWLEDGE-BASED AND INTELLIGENT INFORMATION & ENGINEERING SYSTEMS, 2017, 112 : 1112 - 1122
  • [8] Development of a Resident Practice Profile in a Business Intelligence Application Framework
    Chamney, Austin
    Mata, Pilar
    Viner, Gary
    Archibald, Doug
    Peyton, Liam
    [J]. 5TH INTERNATIONAL CONFERENCE ON EMERGING UBIQUITOUS SYSTEMS AND PERVASIVE NETWORKS / THE 4TH INTERNATIONAL CONFERENCE ON CURRENT AND FUTURE TRENDS OF INFORMATION AND COMMUNICATION TECHNOLOGIES IN HEALTHCARE / AFFILIATED WORKSHOPS, 2014, 37 : 266 - +
  • [9] ChinHoong C., 2014, IMPROVING BUSINESS I, V25, P28
  • [10] Chiregi M., 2017, J ELECT SYST INF TEC