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206418

Developing adnamic-based maritime analytics dashboard using power business intelligence tools

Article

Last updated: 05 Jan 2025

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Tags

مجالات العلوم التجارية وهى فروع الإدارة والمحاسبة والاقتصاد والعلوم السياسية والإحصاء التطبيقي والتأمين

Abstract

Abstract The effective and economic optimisation of the maritime transportation take significant place among all studied topics in the literature. Big data has the potential to create new opportunities to drive innovation and deliver tangible operational efficiencies across the shipping world. The usage of big data analysis is to help the maritime industry understand the opportunities it can offer. Numerous information technology and information systems solutions were developed to enhance the knowledge of the functionalities of different maritime operations and activities. Thus, various applications, platforms, and technologies are used. The literature highlights that there are still key challenges facing big data applications in the maritime industry. Hence, the purpose of this paper is to develop a dynamic-based maritime analytical dashboard using business intelligence (BI). It aims to provide very comprehensive functionalities for creating reports for better understanding of the maritime data. The main outcome is to provide an interactive visualized Maritime Analytic Dashboard (MAD) analysing large amounts of data and producing meaningful reports to port managers. A set of variables have been considered to present a comprehensive dashboard. As a further research, cyber threats and risks can be considered in the future developed dashboards.

DOI

10.21608/alat.2019.206418

Keywords

Key Words Big data pipeline, Business Intelligence, data visualisation

Authors

First Name

خالد

Last Name

السقطي

MiddleName

-

Affiliation

الاکاديمية العربيه للعلوم والتکنولوجيا

Email

-

City

-

Orcid

-

Volume

43

Article Issue

4

Related Issue

29073

Issue Date

2019-10-01

Receive Date

2019-12-25

Publish Date

2019-10-01

Page Start

390

Page End

420

Print ISSN

1110-2284

Online ISSN

2785-9703

Link

https://alat.journals.ekb.eg/article_206418.html

Detail API

https://alat.journals.ekb.eg/service?article_code=206418

Order

10

Type

المقالة الأصلية

Type Code

1,832

Publication Type

Journal

Publication Title

المجلة المصرية للدراسات التجارية

Publication Link

https://alat.journals.ekb.eg/

MainTitle

Developing adnamic-based maritime analytics dashboard using power business intelligence tools

Details

Type

Article

Created At

23 Jan 2023