Business Intelligence Roadmap for Tableau Dashboard Development in Higher Education

Authors

  • Yuda Fatoni Universitas Jambi, Indonesia
  • Pradita Eko Prasetyo Utomo Universitas Jambi, Indonesia
  • Rizqa Raaiqa Bintana Universitas Jambi, Indonesia

DOI:

https://doi.org/10.47709/brilliance.v5i2.7094

Keywords:

Business Intelligence, Business Intelligence Roadmap, Tableau, Data Visualization, Dashboards, Higher Education

Abstract

Universities are increasingly required to make data-driven decisions, yet many are still hindered by static and non-interactive reports. This study addresses these challenges at the Jambi University with the aim of designing and developing a series of interactive dashboards using Tableau, applying an adaptive framework based on the Business Intelligence Roadmap. The research methodology includes three main stages: pre-development, development, and post-development. The technical process involves Extract, Transform, Load (ETL) of data from different datasets into a MySQL database that serves as a centralized data source before visualization. The main results of this study are seven functional dashboard prototypes that were successfully developed, covering data analysis of lecturers, graduates, and other strategic areas. This dashboard is capable of presenting key insights, such as the lecturer-to-student ratio and lecturer qualification profiles (29.8% holding a PhD), in a visual and interactive manner. Furthermore, the prototype was successfully integrated into a web interface, demonstrating the technical feasibility of its implementation. This study concludes that the application of an adapted BI Roadmap is an effective approach for dashboard development in an academic environment. The results not only provide a decision-support tool for the Jambi University but also offer a methodological framework that can be replicated.

References

Al Malik, M. H., Andrian, R., & Utami, Y. T. (2023). Analisis Visualisasi Data Prestasi Mahasiswa Universitas Lampung Menggunakan Tableau. Jurnal Pepadun, 4(2), 158–165. https://doi.org/10.23960/pepadun.v4i2.172

Darmawan, R., & Swalaganata, G. (2025). ANALISA KOMPARATIF POWER BI DAN TABLEAU DALAM IMPLEMENTASI BUSINESS INTELLIGENCE PADA BRAZILIAN E-COMMERCE PUBLIC DATASET BY OLIST. JATI (Jurnal Mahasiswa Teknik Informatika), 9(5), 8936–8944. https://doi.org/10.36040/jati.v9i5.15178

Embarak, O. (2018). The Importance of Data Visualization in Business Intelligence. In Dr. O. Embarak, Data Analysis and Visualization Using Python (pp. 85–124). Apress. https://doi.org/10.1007/978-1-4842-4109-7_2

Ernawan, E. (2024). Pemanfaatan Management Dashboard Dalam Pengambilan Keputusan Strategis Pada Perusahaan Bisnis Konstruksi (Studi Kasus PT. XYZ). Jurnal Mirai Management, 9(2), 124. https://doi.org/10.37531/mirai.v9i2.7174

Fauzi, A., Nugroho, A. A., Monte, A. K., Ignesia, A. A., Makruf, M. N., Andreas, R., & Hasanah, S. R. N. (2023). Pemanfaatan Business Intelligence Dalam Pembuatan Strategi dan Pengambilan Keputusan Bisnis. Jurnal Portofolio?: Jurnal Manajemen Dan Bisnis, 2(3), Article 3.

Gaftandzhieva, S., Hussain, S., Hilcenko, S., Doneva, R., & Boykova, K. (2023). Data-driven Decision Making in Higher Education Institutions: State-of-play. International Journal of Advanced Computer Science and Applications, 14(6). https://doi.org/10.14569/IJACSA.2023.0140642

Henderson, J., & Corry, M. (2021). Data literacy training and use for educational professionals. Journal of Research in Innovative Teaching & Learning, 14(2), 232–244. https://doi.org/10.1108/JRIT-11-2019-0074

Mellyka, G., Islamiyah, I., & Widagdo, P. P. (2025). Penerapan Business Intelligence dalam Dashboard Data Alumni Universitas Mulawarman. Jutisi?: Jurnal Ilmiah Teknik Informatika Dan Sistem Informasi, 14(1), 189. https://doi.org/10.35889/jutisi.v14i1.2419

Mittal, M., & Raheja, N. G. (2024). Data Visualization and Storytelling with Tableau. CRC Press. https://books.google.co.id/books?id=s_AIEQAAQBAJ

Moss, L. T., & Atre, S. (2003, February 25). Business Intelligence Roadmap: The Complete Project Lifecycle for Decision-Support Applications. https://www.semanticscholar.org/paper/Business-Intelligence-Roadmap%3A-The-Complete-Project-Moss-Atre/4e9078005edbb68b0a89d0b2c0c493e09c7f2b87

Mubarok, F. S. (2023). Penerapan Prinsip Gestalt Dalam Desain Visual Untuk Meningkatkan Memori Dan Pemahaman Pesan. Jurnal Ilmiah Komunikasi Makna, 11(2), 152. https://doi.org/10.30659/jikm.v11i2.33002

Priyaungga, B. A., Aji, D. B., Syahroni, M., Aji, N. T. S., & Saifudin, A. (2020). Pengujian Black Box pada Aplikasi Perpustakaan Menggunakan Teknik Equivalence Partitions. Jurnal Teknologi Sistem Informasi Dan Aplikasi, 3(3), 150. https://doi.org/10.32493/jtsi.v3i3.5343

Rizkiawan, M. A., Anhari, T., & Alim, E. S. (2024). Application of Business Intelligence Using Tableau in Visualizing New Student data. Kesatria?: Jurnal Penerapan Sistem Informasi (Komputer Dan Manajemen), 5(4), Article 4. https://doi.org/10.30645/kesatria.v5i4.477

Singgih, S., Adila, A. S. D., Nadhifah, I. N., Kurnia, S. A., & Mazita, A. (2024). Development of Data-Driven Educational Decision Implementation Guidelines Assisted by Formative Tests in Science Learning. AL-ISHLAH: Jurnal Pendidikan, 16(3), Article 3.

Sulianta, F. (2024). Visualisasi Data untuk Pemula. Feri Sulianta. https://books.google.co.id/books?id=tcQsEQAAQBAJ

Thakur, J., & Das, P. (2023). Improving Data Analysis and Visualization in Market Research with Tableau. 2023 3rd International Conference on Technological Advancements in Computational Sciences (ICTACS), 572–576. https://doi.org/10.1109/ICTACS59847.2023.10389971

Downloads

Published

2025-10-31

How to Cite

Fatoni, Y., Utomo, P. E. P., & Bintana, R. R. (2025). Business Intelligence Roadmap for Tableau Dashboard Development in Higher Education. Brilliance: Research of Artificial Intelligence, 5(2), 973–980. https://doi.org/10.47709/brilliance.v5i2.7094

Most read articles by the same author(s)

Similar Articles

<< < 8 9 10 11 12 13 14 15 16 17 > >> 

You may also start an advanced similarity search for this article.