Implementation of Business Intelligence Solution for United Airlines Business Insights and Data Analytics for United Airlines Industry

被引:0
|
作者
Iris, Ng [1 ]
Nagalingham, Sarasvathi [1 ]
机构
[1] INTI Int Univ, Fac Data Sci & Informat Technol, Nilai, Negeri Sembilan, Malaysia
关键词
Business intelligence; aviation industry; dashboard visualization; tableau; data analytics;
D O I
10.14569/IJACSA.2023.0140192
中图分类号
TP301 [理论、方法];
学科分类号
081202 ;
摘要
US Airline is recognized as the world's largest airline, with a massive number of daily departures completed and a combined fleet of over 2700 aircraft. US Airlines have carried major 18 airlines, categorized as mainline, regional, and freight airlines. United Airline is one of the major airlines in the US after American Airlines and Delta Airlines in the world. Today, companies received as much feedback from their customers. Customers can share their opinion and emotion through social media platforms, such as Twitter. Thus, collecting and understanding customer's opinion become the key benefits for the aviation industry to get actionable insights while increasing their competitiveness. Such insights are useful in planning and execution to increase the relationship with customers. Thus, this study was conducted to analyze customer's feedback in different airlines to discover actionable insights that increase the competitiveness of United Airline. The analysis result will be visualized on Tableau dashboards and BI solutions will be provided. By implementing the BI solutions, United Airline can make accurate decisions and define next strategies by identifying those positive and negative references. Thus, United Airline can improve the quality of their service, enhance customers loyalty, and boost business profitability.
引用
收藏
页码:843 / 852
页数:10
相关论文
共 50 条
  • [1] Continental airlines continues to soar with business intelligence
    Wixom, Barbara H.
    Watson, Hugh J.
    Reynolds, Anne Marie
    Hoffer, Jeffrey A.
    INFORMATION SYSTEMS MANAGEMENT, 2008, 25 (02) : 102 - 112
  • [2] Amplifying organizational performance from business intelligence: Business analytics implementation in the retail industry
    Paulino, Emmanuel P.
    JOURNAL OF ENTREPRENEURSHIP MANAGEMENT AND INNOVATION, 2022, 18 (02) : 69 - 104
  • [3] Using a Business Intelligence Data Analytics Solution in Healthcare
    Ali, Osama
    Crvenkovski, Pete
    Johnson, Helen
    7TH IEEE ANNUAL INFORMATION TECHNOLOGY, ELECTRONICS & MOBILE COMMUNICATION CONFERENCE IEEE IEMCON-2016, 2016,
  • [5] Business intelligence and business analytics in tourism: insights through Gioia methodology
    Jimenez-Partearroyo, Montserrat
    Medina-Lopez, Ana
    Rana, Sudhir
    INTERNATIONAL ENTREPRENEURSHIP AND MANAGEMENT JOURNAL, 2024, 20 (03) : 2287 - 2321
  • [6] Business Intelligence using Data Mining Techniques and Business Analytics
    Mishra, Brojo Kishore
    Hazra, Deepannita
    Tarannum, Kahkashan
    Kumar, Manas
    PROCEEDINGS OF THE 5TH INTERNATIONAL CONFERENCE ON SYSTEM MODELING & ADVANCEMENT IN RESEARCH TRENDS (SMART-2016), 2016, : 84 - 89
  • [7] Business Intelligence Techniques Using Data Analytics: An Overview
    Mallam, Pooja
    Ashu, Ashu
    Singh, Baljeet
    2021 INTERNATIONAL CONFERENCE ON COMPUTING SCIENCES (ICCS 2021), 2021, : 265 - 267
  • [8] Business Intelligence Data Visualization for Diabetes Health Prediction Data Analytics and Insights for Diabetes Health Prediction
    Qi, Samantha Siow Jia
    Nagalingham, Sarasvathi
    INTERNATIONAL JOURNAL OF ADVANCED COMPUTER SCIENCE AND APPLICATIONS, 2023, 14 (01) : 818 - 831
  • [9] Big Data Analytics as a Service for Business Intelligence
    Sun, Zhaohao
    Zou, Huasheng
    Strang, Kenneth
    OPEN AND BIG DATA MANAGEMENT AND INNOVATION, I3E 2015, 2015, 9373 : 200 - 211
  • [10] A novel comparison of data analytics and business intelligence tools: an information preservation and ledger management solution
    Patrick, Danella
    Khan, Abdullah Ayub
    Ali, Fayyaz
    Kandhro, Irfan Ali
    Anwar, Mahnoor
    Kehar, Asadullah
    Sanjrani, Anwar Ali
    INTERNATIONAL JOURNAL OF ELECTRONIC SECURITY AND DIGITAL FORENSICS, 2023, 15 (04) : 387 - 412