The Role of Data-Driven Business Intelligence in Decision-Making and Business Performance: A Systematic Literature Review
DOI:
https://doi.org/10.58471/esaprom.v5i07.8855Keywords:
Business Analytics, Business Intelligence, Business Performance, Data-Driven Decision-Making, Systematic Literature ReviewAbstract
The growth of the digital economy has increased organizations’ need for data-driven decision-making, in which Business Intelligence (BI) serves as a mechanism for processing data into relevant information. Although research on BI continues to evolve, the relationship between BI, decision-making, and business performance still shows varying findings and limitations in conceptual integration. This study aims to synthesize the scientific literature on the role of data-driven BI in decision-making and business performance, as well as to identify patterns of relationships and research gaps. The method used is a Systematic Literature Review, following the guidelines of the Preferred Reporting Items for Systematic Reviews and Meta-Analyses. The data were obtained from reputable scientific databases through a selection process based on inclusion and exclusion criteria, resulting in 48 articles that were analyzed using thematic synthesis and conceptual analysis. The results indicate that BI is consistently associated with improvements in the quality and speed of decision-making. The impact of BI on business performance is generally indirect and mediated by variables such as decision quality and analytical capabilities. In addition, it was found that contextual factors, including a data-driven culture and technology-organizational fit, also influence the effectiveness of BI. The study’s conclusions confirm that the role of BI in an organization is best understood as a capability that supports the decision-making process, rather than as a direct determinant of business performance. This study contributes an integrated conceptual framework and recommendations for the development of more comprehensive empirical research.
References
Abu Salim, T., Ali, N., & Hassan, S. (2023). Business Intelligence capability and organizational performance: A systematic review. Journal of Open Innovation: Technology, Market, and Complexity, 9(3). https://doi.org/10.1016/j.joitmc.2023.100118
Amanda, Z., Fitriana, N., Al Taqiyyah, B., & Panjaitan, M. M. B. (2025). PERAN ANALISIS KOMPARATIF DALAM PENGAMBILAN KEPUTUSAN KEUANGAN. Journal Education, Sociology and Law, 1(2), 1070–1078.
Ardiansyah, R., & Purnomo, R. (2025). Security and Privacy Challenges in Wireless Sensor Networks: A Systematic Literature Review of Threat Mitigation Strategies. Karapan Network Journal: Journal Computer Technology and Mobile Ad Hoc Network, 1(01).
Azisah, A. N. (2023). Pengaruh Modal Intelektual terhadap Nilai Perusahaan dengan Profitabilitas sebagai Variabel Mediasi dan Kemampuan Manajerial Sebagai Variabel Moderasi Studi Empiris Perusahaan Manufaktur Subsektor Farmasi= The Effect of Intellectual Capital on Firm Value with Profitability as a Mediating Variable and Managerial Ability as a Moderating Variable Empirical Study on Pharmaceutical Subsector Manufacturing Companies. Universitas Hasanuddin.
DYAH, E. W. S. (2025). PENGARUH BUDAYA ORGANISASI TERHADAP KINERJA KARYAWAN DENGAN KEPUASAN KERJA SEBAGAI VARIABEL MEDIASI (Studi Pada Kantor Perwakilan Bank Indonesia Provinsi Lampung). UNIVERSITAS LAMPUNG.
Guo, L., Miller, S., Zhou, W., et al. (2025). Critical appraisal of methodological quality and completeness of reporting in Chinese social science systematic reviews with meta-analysis: A systematic review. Campbell Systematic Reviews. https://doi.org/10.1002/cl2.70014
Haro, A., Judijanto, L., Kristina, K., Anggraeni, A. F., Priyanto, P., Priyanto, A., & Utami, R. N. (2026). Metode penelitian kuantitatif: Teori dan penerapan praktis analisis data berbasis studi kasus. PT. Sonpedia Publishing Indonesia.
Harsono, I., & Tarmidi, D. (2024). Analisis Bibliometrik tentang Perkembangan Penelitian tentang Ekonomi Berbasis Pengetahuan. Sanskara Ekonomi Dan Kewirausahaan, 2(02), 92–100.
Kesuma, M. S., Riza, L. S., Nursalman, M., & Firdaus, P. (2026). Implementasi Power Bi (Business Intelligence) Dalam Pengolahan Dan Visualisasi Data Penelitian Pada Institusi Xyz. Jurnal Ilmiah Sistem Informasi, 5(2), 58–67.
Maulidan, R., Gunanjar, I., Verinanda, M. R., Syahputra, R., & Hardianti, A. (2025). PEMETAAN LITERATUR KAPABILITAS DINAMIS PADA UMKM DI INDONESIA: TINJAUAN LITERATUR SISTEMATIS. Creative Research Management Journal, 8(1), 28–43.
Nugroho, A. W., & Utama, A. A. G. S. (2025). Business Intelligence Systems and Their Impact on Organizational Decision-Making and Performance Outcomes: Literature Review. Owner: Riset Dan Jurnal Akuntansi, 9(2), 1269–1284.
Page, M. J., McKenzie, J. E., Bossuyt, P. M., et al. (2021). The PRISMA 2020 statement: An updated guideline for reporting systematic reviews. BMJ, 372, n71. https://doi.org/10.1136/bmj.n71
Schmidt, L., Finnerty Mutlu, A. N., Elmore, R., et al. (2025). Data extraction methods for systematic review (semi)automation: Update of a living systematic review. F1000Research, 10, 401. https://doi.org/10.12688/f1000research.51117.3
Suharyanto, S., Setyanto, F. A. R. B., & Yasmiati, Y. (2025). Analisis Kesiapan Teknologi Dan Sdm Terhadap Implementasi E-Business Pada UMKM. Jurnal Teknologi Informasi, 11(1), 54–70.
Sulistyawati, U. S. (2024). Decoding big data: Mengubah data menjadi keunggulan kompetitif dalam pengambilan keputusan bisnis. Jurnal Manajemen Dan Teknologi, 1(2), 58–71.
Yulfianti, Y., Marlin, Y., Marsidin, S., & Irsyad, I. (2025). PERAN INKRIMENTAL KEPALA SEKOLAH DALAM PENGAMBILAN KEPUTUSAN EFEKTIF DI SMK NEGERI 1 PARIAMAN. Jurnal Kepemimpinan Dan Pengurusan Sekolah, 10(4), 2437–2444.
Yulistiawan, B. S. (2025). Model Tata Kelola Data Berbasis Artificial Intelligence untuk Mendukung Pengambilan Keputusan Strategis dalam Business Intelligence. Cebong Journal, 4(3), 78–85.
