Integrasi Big Data Analisys pada Aplikasi Business Inteligence
DOI:
https://doi.org/10.71155/jhw2dg83Keywords:
Transformasi digital; big data analytics (BDA); business intelligence (BI); systematic literature review (SLR); pengambilan keputusan strategisAbstract
Arus transformasi digital yang semakin cepat telah mendorong organisasi di berbagai sektor untuk mengintegrasikan Big Data Analytics (BDA) ke dalam sistem Business Intelligence (BI) agar pengambilan keputusan strategis menjadi lebih baik. Penelitian ini bertujuan menganalisis tren publikasi mengenai integrasi BDA dalam aplikasi BI selama periode 2020–2025, sekaligus memetakan metode penelitian yang dominan, manfaat yang diperoleh, tantangan implementasi, serta celah penelitian yang masih ada. Dengan menggunakan pendekatan Systematic Literature Review (SLR) sesuai protokol PRISMA, studi ini menyaring sejumlah artikel peer-reviewed dari artikel yang ditemukan di Google Scholar. Hasil analisis menunjukkan lonjakan signifikan jumlah publikasi pada periode 2022-2024, di mana metode kuantitatif masih mendominasi (47,4%) dan sebagian besar studi berfokus pada aspek teknologi (42,1%). Secara empiris, integrasi BDA dan BI terbukti dapat meningkatkan akurasi pengambilan keputusan hingga 30%, meningkatkan efisiensi operasional, serta menghasilkan wawasan secara real-time. Meski demikian, tantangan seperti fragmentasi data, skalabilitas infrastruktur, resistensi perubahan, dan kesenjangan kompetensi SDM masih sering menjadi hambatan utama. Penelitian ini menyimpulkan bahwa keberhasilan integrasi tidak cukup bergantung pada teknologi canggih semata, melainkan sangat ditentukan oleh tata kelola data yang kuat dan keterlibatan pengguna. Oleh karena itu, studi kualitatif longitudinal dalam konteks organisasi di Indonesia sangat diperlukan untuk mengisi kesenjangan literatur yang ada.
References
Al Nuaimi, D., & Awofeso, N. (2025). The Value of Applying Big Data Analytics in Health Supply Chain Management. F1000Research, 13, 1–34. https://doi.org/10.12688/f1000research.156525.4
Aljehani, S. B., Abdo, K. W., Nurul Alam, M., & Aloufi, E. M. (2024). Big Data Analytics and Organizational Performance: Mediating Roles of Green Innovation and Knowledge Management in Telecommunications. Sustainability (Switzerland), 16(18). https://doi.org/10.3390/su16187887
Baijens, J., Huygh, T., & Helms, R. (2022). Establishing and theorising data analytics governance: a descriptive framework and a VSM-based view. Journal of Business Analytics, 5(1), 101–122. https://doi.org/10.1080/2573234X.2021.1955021
Cassaro, E., Bueno, A. do P., Sehnem, S., Crizel, A. C. L., & Julkovski, D. J. (2025). Strategic Perspectives on Big Data Analytics for Sustainability: Integrative Insights From a Systematic Literature Review. Business Strategy and Development, 8(3), 1–16. https://doi.org/10.1002/bsd2.70186
Chen, Y., Li, C., & Wang, H. (2022). Big Data and Predictive Analytics for Business Intelligence: A Bibliographic Study (2000–2021). Forecasting, 4(4), 767–786. https://doi.org/10.3390/forecast4040042
Chioma Ann Udeh, Omamode Henry Orieno, Obinna Donald Daraojimba, Ndubuisi Leonard Ndubuisi, & Osato Itohan Oriekhoe. (2024). Big Data Analytics: a Review of Its Transformative Role in Modern Business Intelligence. Computer Science & IT Research Journal, 5(1), 219–236. https://doi.org/10.51594/csitrj.v5i1.718
Eka Mayasari, & Agussalim Agussalim. (2023). Literature Review: Big Data dan Data Analys pada Perusahaan. Jurnal Ilmiah Sistem Informasi Dan Ilmu Komputer, 3(3), 171–187. https://doi.org/10.55606/juisik.v3i3.680
Faizah Ats Tsaniyah, Ningsih, S. P., Cyntia, D. Y., Kusumasari, I. R., & Hidayat N, R. (2024). The Role of Big Data Analytics in Supporting Decision-Making Theories in Companies. Jurnal Bisnis Dan Komunikasi Digital, 2(2), 10. https://doi.org/10.47134/jbkd.v2i2.3458
Hakami, T. A., Alginahi, Y. M., & Sabri, O. (2025). Exploring the Evolution of Big Data Technologies: A Systematic Literature Review of Trends, Challenges, and Future Directions. Future Internet, 17(9), 1–29. https://doi.org/10.3390/fi17090427
Haque, S., Mohammad, N., Mambetaliev, A., Karshiboev, A., Lucky, K. Y., Khan, M. T. H., & Islam, H. (2025). Artificial Intelligence-Driven Business Analytics for IT Strategy: Advancing Decision-Making, Real-Time Insights, and Organizational Agility Through Intelligent Automation and Data Integration. Journal of Posthumanism, 5(6), 1848–1863. https://doi.org/10.63332/joph.v5i6.2287
Hossain, Q., Yasmin, F., Biswas, T. R., & Asha, N. B. (2024). Integration of Big Data Analytics in Management Information Systems for Business Intelligence. Sistem, Informasi, Manajemen, Dan Bisnis Adaptif (SIMBA), 1(1), 192–203. https://doi.org/10.63985/simba.v1i1.7
Husni, A., Madurapperuma, W., & Thilini Sumudu Kumari, R. D. (2025). Antecedents of data analytics adoption: A systematic literature review from 2018-2024. F1000Research, 14, 1–41. https://doi.org/10.12688/f1000research.170252.2
Janet Ngesa. (2023). Tackling security and privacy challenges in the realm of big data analytics. World Journal of Advanced Research and Reviews, 21(2), 552–576. https://doi.org/10.30574/wjarr.2024.21.2.0429
Judijanto, L. (2024). Bibliometric Insights into the Development of Real-Time Business Intelligence Systems. The Eastasouth Journal of Information System and Computer Science, 2(01), 1–14. https://doi.org/10.58812/esiscs.v2i01.323
Kasambwe, C., & Goma, M. (2026). An Analysis Of Organizations Leveraging Big Data Repository And Analytics For Strategic Decision Making On Performance Improvement - A Case Study Of Eastern Provincial Health Office. 28(4), 62–71. https://doi.org/10.9790/487X-2804026271
Koo, J., Kang, G., & Kim, Y. G. (2020). Security and privacy in big data life cycle: A survey and open challenges. Sustainability (Switzerland), 12(24), 1–32. https://doi.org/10.3390/su122410571
Lailaturahma Maulidah, Nadin Isna Monica, & Putri Nurul Hidayati. (2023). A Systematic Literature Review: Penerapan Business Intelligence dalam Meningkatkan Pengambilan Keputusan. Jurnal Ilmiah Sistem Informasi Dan Ilmu Komputer, 3(2), 167–185. https://doi.org/10.55606/juisik.v3i2.498
Lalaoui, I. L., El Haji, E., & Kounaidi, M. (2025). The Evolution and Challenges of Real-Time Big Data: A Review. 11. https://doi.org/10.3390/cmsf2025010011
Liu, Z., Mahinder Singh, H. S., & Shibli, F. Al. (2025). What is a recognized mechanism for transforming big data analytics into firm performance? A meta-analysis from cultural view. Humanities and Social Sciences Communications, 12(1), 1–20. https://doi.org/10.1057/s41599-024-04284-8
Mala Pillutla. (2025). How Businesses Can Unlock the True Value of Modern Log Management. Integratormedia. https://integratormedia.com/2025/12/17/how-businesses-can-unlock-the-true-value-of-modern-log-management/
Mkhize, A., Mokhothu, K. D., Tshikhotho, M., & Thango, B. A. (2025). Evaluating the Impact of Cloud Computing on SME Performance: A Systematic Review. Businesses, 5(2), 23. https://doi.org/10.3390/businesses5020023
Noviany, H., & Nasher, U. A. (2025). Data : Journal of Information Systems and Management. 4, 198–210.
Praful Bharadiya, J. (2023). A Comparative Study of Business Intelligence and Artificial Intelligence with Big Data Analytics. American Journal of Artificial Intelligence, 7(1), 24–30. https://doi.org/10.11648/j.ajai.20230701.14
Priharsari, D. (2022). Systematic Literature Review: Sugar-Sweetened Beverage Consumption. 9(2), 263–268. https://doi.org/10.25126/jtiik.202293884
Putramaa, I. M., & Martinek, P. (2024). a Systematic Review of Big Data Integration Challenges and Solutions for Heterogeneous Data Sources. Academic Journal on Business Administration, Innovation & Sustainability, 4(4), 1–18. https://doi.org/10.69593/ajbais.v4i04.111
Ragazou, K., Passas, I., Garefalakis, A., Galariotis, E., & Zopounidis, C. (2023). Big Data Analytics Applications in Information Management Driving Operational Efficiencies and Decision-Making: Mapping the Field of Knowledge with Bibliometric Analysis Using R. Big Data and Cognitive Computing, 7(1). https://doi.org/10.3390/bdcc7010013
Rismaninda Putri Dwi Prasetya, Nur, A., Halwa, R., Warita, J. B., Nugroho, R. H., & Kusumasari, I. R. (2024). Implementasi Penggunaan Data Analytics untuk Mengoptimalkan Pengambilan Keputusan Bisnis di Era Digital. Jurnal Bisnis Dan Komunikasi Digital, 2(2), 12. https://doi.org/10.47134/jbkd.v2i2.3459
Simamora, S. C., Gaffar, V., & Arief, M. (2024). SYSTEMATIC LITERATUR REVIEW DENGAN METODE PRISMA: DAMPAK TEKNOLOGI BLOCKCHAIN TERHADAP PERIKLANAN DIGITAL. Jurnal Ilmiah M-Progress, 14, 1–11.
Solano, M. C., & Cruz, J. C. (2024). Integrating Analytics in Enterprise Systems: A Systematic Literature Review of Impacts and Innovations. Administrative Sciences, 14(7). https://doi.org/10.3390/admsci14070138
Stjepi, A. (2021). Scopus - Detalles del documento - Explorando los riesgos en la adopción de inteligencia de negocios en las PYMES utilizando el marco TOE | Iniciado sesión. https://www-scopus-com.hemeroteca.lasalle.edu.co/record/display.uri?eid=2-s2.0-85117529523&origin=resultslist&sort=cp-f&src=s&sid=8dce49f29822dea57077d03daa123bd8&sot=a&sdt=cl&cluster=scosubjabbr%2C%22BUSI%22%2Ct%2C%22COMP%22%2Ct%2C%22DECI%22%2Ct%2Bscosub
Tandilino, C., Khaerany, R., Pontoh, G. T., & Indrijawati, A. (2025). Big Data and Business Intelligence in the Public Sector: Implementation and Benefits. Jurnal Akuntansi Aktual, 12(1), 27–47.
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Copyright (c) 2026 Nadiya Putri Intan Nur Rahmadhani, Yusuf Amrozi, Haris Sandy Setiawan Ramadhan, Erridho Ramadhani Setiawan, Mohammad Fadlullah Nuri Zam Zami, Nabila Hafidhoh, Yudistian Dzaky Yassar (Author)
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