KAJIAN LITERATUR SISTEMATIS MENGENAI PERAN BIG DATA DALAM DIGITAL MARKETING
DOI:
https://doi.org/10.1234/aira.v1i2.58Keywords:
Big Data, Pemasaran Digital, Data, Analitik, StrategiAbstract
Big Data has emerged as an important topic in the realm of digital marketing, fundamentally changing the way businesses interact with consumers and strategize their marketing efforts. The integration of Big Data analytics into marketing strategies allows organizations to leverage the vast amounts of data generated from various sources, such as online activities, social interactions, and purchase transactions. As such, they can gain deep insights into consumer behavior, preferences, market trends, and purchasing patterns. This capability is essential for developing more focused and detailed marketing strategies, increasing customer engagement and satisfaction, and optimizing overall marketing efforts. The strategic use of Big Data in marketing can improve organizational performance and productivity. Previous research has shown that Big Data and analytics offer opportunities for companies to build market knowledge and identify target markets, ultimately improving strategic marketing insights and better revenue growth. Other findings also emphasize the importance of Big Data in digital marketing, as it can help understand consumer behavior and optimize marketing strategies. Moreover, the application of machine learning with Big Data enables businesses to analyze consumer behavior more effectively, thereby facilitating personalized marketing approaches that match customers' individual preferences.
Big Data telah muncul sebagai topik penting dalam ranah pemasaran digital, yang secara fundamental mengubah cara bisnis berinteraksi dengan konsumen serta merancang strategi pemasarannya. Integrasi analitik Big Data ke dalam strategi pemasaran memungkinkan organisasi memanfaatkan jumlah data yang sangat besar yang dihasilkan dari berbagai sumber, seperti aktivitas online, interaksi sosial, dan transaksi pembelian. Dengan demikian, perusahaan dapat memperoleh wawasan mendalam mengenai perilaku konsumen, preferensi, tren pasar, serta pola pembelian. Kemampuan ini menjadi krusial dalam mengembangkan strategi pemasaran yang lebih terfokus dan terperinci, meningkatkan keterlibatan serta kepuasan pelanggan, sekaligus mengoptimalkan keseluruhan upaya pemasaran. Penggunaan Big Data secara strategis dalam pemasaran dapat meningkatkan kinerja dan produktivitas organisasi. Penelitian-penelitian sebelumnya menunjukkan bahwa Big Data dan analitik memberikan peluang bagi perusahaan untuk membangun pengetahuan pasar dan mengidentifikasi target pasar, yang pada akhirnya memperkaya wawasan strategis pemasaran serta mendorong pertumbuhan pendapatan yang lebih baik. Temuan lain juga menekankan pentingnya Big Data dalam pemasaran digital, karena mampu membantu memahami perilaku konsumen dan mengoptimalkan strategi pemasaran. Lebih jauh lagi, penerapan machine learning bersama Big Data memungkinkan perusahaan menganalisis perilaku konsumen secara lebih efektif, sehingga memfasilitasi pendekatan pemasaran yang dipersonalisasi sesuai dengan preferensi individu pelanggan.
References
Abd, N. S., Atiyah, O. S., Ahmed, M. T., & Bakhit, A. (2024). Digital Marketing Data Classification by Using Machine Learning Algorithms. Iraqi Journal for Electrical and Electronic Engineering, 20(1), 245–256. https://doi.org/10.37917/ijeee.20.1.23
Alles, M., & Gray, G. L. (2024). The marketing on Big 4 websites of Big Data Analytics in the external audit: Evidence and consequences. International Journal of Accounting Information Systems, 54, 100697. https://doi.org/10.1016/j.accinf.2024.100697
Aziz, N. A., & Long, F. (2023). Examining the relationship between big data analytics capabilities and organizational ambidexterity in the Malaysian banking sector. Frontiers in Big Data, 6. https://doi.org/10.3389/fdata.2023.1036174
Brewis, C., Dibb, S., & Meadows, M. (2023). Leveraging big data for strategic marketing: A dynamic capabilities model for incumbent firms. Technological Forecasting and Social Change, 190, 122402. https://doi.org/10.1016/j.techfore.2023.122402
Cakir, A., Akın, Ö., Deniz, H. F., & Yılmaz, A. (2022). Enabling real time big data solutions for manufacturing at scale. Journal of Big Data, 9(1), 118. https://doi.org/10.1186/s40537-022-00672-6
Cavlak, N., & Cop, R. (2021). The Role of Big Data in Digital Marketing (pp. 16–33). https://doi.org/10.4018/978-1-7998-8003-5.ch002
Chen, J., Lan, Y., & Chang, Y. (2023). Consumer behaviour in cross‐border e‐commerce: Systematic literature review and future research agenda. International Journal of Consumer Studies, 47(6), 2609–2669. https://doi.org/10.1111/ijcs.12969
Cui, L. (2024). Data-driven innovation and implementation effectiveness of tourism marketing strategies in the digital era. Applied Mathematics and Nonlinear Sciences, 9(1). https://doi.org/10.2478/amns-2024-2871
Du, Y., & Zhu, L. (2023). Digital Marketing Strategies for E-commerce Supply Chain Risk Management Based on Big Data Analysis and Predictive Modeling. Computer-Aided Design and Applications, 1–18. https://doi.org/10.14733/cadaps.2024.S4.1-18
Faruk, M., Sarker, M. A. H., Mamun, A. Al, & Hasan, S. (2022). Adoption of big data analytics in marketing: an analysis in Bangladesh. Journal of Data, Information and Management, 4(3–4), 277–290. https://doi.org/10.1007/s42488-022-00080-8
Giannakopoulos, N. T., Sakas, D. P., & Migkos, S. P. (2024). Neuromarketing and Big Data Analysis of Banking Firms’ Website Interfaces and Performance. Electronics, 13(16), 3256. https://doi.org/10.3390/electronics13163256
Giannakopoulos, N. T., Terzi, M. C., Sakas, D. P., Kanellos, N., Toudas, K. S., & Migkos, S. P. (2024). Agroeconomic Indexes and Big Data: Digital Marketing Analytics Implications for Enhanced Decision Making with Artificial Intelligence-Based Modeling. Information, 15(2), 67. https://doi.org/10.3390/info15020067
Gu, J. (2022). Research on Precision Marketing Strategy and Personalized Recommendation Method Based on Big Data Drive. Wireless Communications and Mobile Computing, 2022, 1–12. https://doi.org/10.1155/2022/6751413
Guedea-Noriega, H. H., & García-Sánchez, F. (2022). Integroly: Automatic Knowledge Graph Population from Social Big Data in the Political Marketing Domain. Applied Sciences, 12(16), 8116. https://doi.org/10.3390/app12168116
Gupta, Y., & Khan, F. M. (2024). Role of artificial intelligence in customer engagement: a systematic review and future research directions. Journal of Modelling in Management, 19(5), 1535–1565. https://doi.org/10.1108/JM2-01-2023-0016
Ingriana, A. (2025). THE INFLUENCE OF E-TRUST ON CONSUMER PURCHASING BEHAVIOR IN E-COMMERCE. 1(3). https://journal.dinamikapublika.id/index.php/Jumder
Ingriana, A., Chondro, J., & Rolando, B. (2024). TRANSFORMASI DIGITAL MODEL BISNIS KREATIF: PERAN SENTRAL E-COMMERCE DAN INOVASI TEKNOLOGI DI INDONESIA (Vol. 1, Issue 1). https://journal.dinamikapublika.id/index.php/JUMDER
Ingriana, A., Gianina Prajitno, G., & Rolando, B. (2024). THE UTILIZATION OF AI AND BIG DATA TECHNOLOGY FOR OPTIMIZING DIGITAL MARKETING STRATEGIES (Vol. 1, Issue 1). https://journal.dinamikapublika.id/index.php/IJEBS
Jeong, J. (2024). Identifying Always-the-Same-Rating Reviewers on Amazon.Com Using Big Data Analytics. IEEE Transactions on Computational Social Systems, 11(1), 1133–1148. https://doi.org/10.1109/TCSS.2023.3235727
Jin, K., Zhong, Z. Z., & Zhao, E. Y. (2024). Sustainable Digital Marketing Under Big Data: An AI Random Forest Model Approach. IEEE Transactions on Engineering Management, 71, 3566–3579. https://doi.org/10.1109/TEM.2023.3348991
Karpushkin, G. (2024). Predicting Consumer Behavior Based on Big Data of User-Generated Online Content in Retail Marketing. Global Journal of Flexible Systems Management, 25(1), 163–178. https://doi.org/10.1007/s40171-024-00372-5
Kitsios, F., Kamariotou, M., Karanikolas, P., & Grigoroudis, E. (2021). Digital Marketing Platforms and Customer Satisfaction: Identifying eWOM Using Big Data and Text Mining. Applied Sciences, 11(17), 8032. https://doi.org/10.3390/app11178032
Kong, C. (2022). Research on Enterprise Digital Precision Marketing Strategy Based on Big Data. Mathematical Problems in Engineering, 2022, 1–9. https://doi.org/10.1155/2022/4279983
Lee, J., & Author), N. K. (Corresponding. (2023). The development of a public library data collection and analysis platform and its uses: a case study of the National Library Big Data Platform in Korea. Malaysian Journal of Library & Information Science, 28(2), 89–102. https://doi.org/10.22452/mjlis.vol28no2.5
Leow, K.-R., Leow, M.-C., & Ong, L.-Y. (2023a). A New Big Data Processing Framework for the Online Roadshow. Big Data and Cognitive Computing, 7(3), 123. https://doi.org/10.3390/bdcc7030123
Leow, K.-R., Leow, M.-C., & Ong, L.-Y. (2023b). A New Big Data Processing Framework for the Online Roadshow. Big Data and Cognitive Computing, 7(3), 123. https://doi.org/10.3390/bdcc7030123
Li, B., Li, J., & Ou, X. (2022). Hybrid recommendation algorithm of cross-border e-commerce items based on artificial intelligence and multiview collaborative fusion. Neural Computing and Applications, 34(9), 6753–6762. https://doi.org/10.1007/s00521-021-06249-3
Li, M. (2022). Big Data Model of Digital Employees of High-Tech Enterprises under the Background of Digital Transformation. Scientific Programming, 2022, 1–10. https://doi.org/10.1155/2022/4786623
Li, W. (2022). Big Data Precision Marketing Approach under IoT Cloud Platform Information Mining. Computational Intelligence and Neuroscience, 2022, 1–11. https://doi.org/10.1155/2022/4828108
Liu, B. (2022). Innovation and Digital Construction of Cultural Tourism Industry under the Background of Big Data and Internet of Things. Mobile Information Systems, 2022, 1–8. https://doi.org/10.1155/2022/9019536
Liu, J. (2023). The Impact of Data Mining on Management and Digital Marketing in the Age of Big Data. Computer-Aided Design and Applications, 229–247. https://doi.org/10.14733/cadaps.2024.S4.229-247
Liu, Q., & Guo, L. (2024). Transformation and development strategy of digital publishing marketing based on big data and fuzzy control algorithm. Journal of Computational Methods in Sciences and Engineering, 24(1), 489–499. https://doi.org/10.3233/JCM-237023
Luca, L. M. De, Herhausen, D., Troilo, G., & Rossi, A. (2021). How and when do big data investments pay off? The role of marketing affordances and service innovation. Journal of the Academy of Marketing Science, 49(4), 790–810. https://doi.org/10.1007/s11747-020-00739-x
Maha, V. A., Derian Hartono, S., Prajitno, G. G., & Hartanti, R. (2024). E-COMMERCE LOKAL VS GLOBAL: ANALISIS MODEL BISNIS DAN PREFERENSI KONSUMEN (Vol. 1, Issue 1). https://journal.dinamikapublika.id/index.php/Jumder
Mukhopadhyay, S., Singh, R. K., & Jain, T. (2024). Developing big data enabled Marketing 4.0 framework. International Journal of Information Management Data Insights, 4(1), 100214. https://doi.org/10.1016/j.jjimei.2024.100214
Mulyono, H., Hartanti, R., & Rolando, B. (2024). SUARA KONSUMEN DI ERA DIGITAL: BAGAIMANA REVIEW ONLINE MEMBENTUK PERILAKU KONSUMEN DIGITAL (Vol. 1, Issue 1). https://journal.dinamikapublika.id/index.php/JUMDER
Mulyono, H., Ingriana, A., & Hartanti, R. (2024). PERSUASIVE COMMUNICATION IN CONTEMPORARY MARKETING: EFFECTIVE APPROACHES AND BUSINESS RESULTS (Vol. 1, Issue 1). https://journal.dinamikapublika.id/index.php/IJEBS
Nasrabadi, N., Wicaksono, H., & Valilai, O. F. (2024). Shopping marketplace analysis based on customer insights using social media analytics. MethodsX, 13, 102868. https://doi.org/10.1016/j.mex.2024.102868
Putri, L. W. B., & Setiawan, B. L. T. (2025). ANALYZING THE STRATEGIC CONTRIBUTION OF SOCIAL MEDIA INFLUENCERS TO E-COMMERCE MARKETING EFFECTIVENESS. 1(2). https://journal.dinamikapublika.id/index.php/Jumder
Rahardja, B. V., Rolando, B., Chondro, J., & Laurensia, M. (2024). MENDORONG PERTUMBUHAN E-COMMERCE: PENGARUH PEMASARAN MEDIA SOSIAL TERHADAP KINERJA PENJUALAN (Vol. 1, Issue 1). https://journal.dinamikapublika.id/index.php/JUMDER
Ram, J., & Zhang, Z. (2022). Examining the needs to adopt big data analytics in B2B organizations: development of propositions and model of needs. Journal of Business & Industrial Marketing, 37(4), 790–809. https://doi.org/10.1108/JBIM-10-2020-0464
Rehman, A. U., Mahmood, A., & Iqbal, M. (2024). Big data in marketing: a new paradigm on trends, developments and insights. International Journal of Technology Marketing, 18(4), 454–483. https://doi.org/10.1504/IJTMKT.2024.141882
Rolando, B. (2024). CULTURAL ADAPTATION AND AUTOMATED SYSTEMS IN E-COMMERCE COPYWRITING: OPTIMIZING CONVERSION RATES IN THE INDONESIAN MARKET (Vol. 1, Issue 1). https://journal.dinamikapublika.id/index.php/IJEBS
Rolando, B., Chandra, C. K., & Widjaja, A. F. (2025). TECHNOLOGICAL ADVANCEMENTS AS KEY DRIVERS IN THE TRANSFORMATION OF MODERN E-COMMERCE ECOSYSTEMS. 1(2). https://journal.dinamikapublika.id/index.php/Jumder
Rolando, B., & Ingriana, A. (2024). SUSTAINABLE BUSINESS MODELS IN THE GREEN ENERGY SECTOR: CREATING GREEN JOBS THROUGH RENEWABLE ENERGY TECHNOLOGY INNOVATION (Vol. 1, Issue 1). https://journal.dinamikapublika.id/index.php/IJEBS
Sakas, D. P., Giannakopoulos, N. T., Terzi, M. C., & Kanellos, N. (2023). Engineering Supply Chain Transportation Indexes through Big Data Analytics and Deep Learning. Applied Sciences, 13(17), 9983. https://doi.org/10.3390/app13179983
Sakas, D. P., Reklitis, D. P., Terzi, M. C., & Vassilakis, C. (2022). Multichannel Digital Marketing Optimizations through Big Data Analytics in the Tourism and Hospitality Industry. Journal of Theoretical and Applied Electronic Commerce Research, 17(4), 1383–1408. https://doi.org/10.3390/jtaer17040070
Sarin, P., Kar, A. K., & Ilavarasan, V. P. (2021). Exploring engagement among mobile app developers – Insights from mining big data in user generated content. Journal of Advances in Management Research, 18(4), 585–608. https://doi.org/10.1108/JAMR-06-2020-0128
Saud Abd, N., Salim Atiyah, O., Taher Ahmed, M., & Bakhit, A. (2024). Digital Marketing Data Classification by Using Machine Learning Algorithms. Iraqi Journal for Electrical and Electronic Engineering, 20(1), 245–256. https://doi.org/10.37917/ijeee.20.1.23
Su, N. (2023). Elevating Rural Revitalization and Agricultural Modernization Leveraging Intelligent Big Data Analysis through Digital Marketing Strategies. Computer-Aided Design and Applications, 75–90. https://doi.org/10.14733/cadaps.2024.S3.75-90
Tan, D. M., & Alexia, K. R. (2025). THE INFLUENCE OF TIKTOK AFFILIATE CONTENT QUALITY AND CREDIBILITY ON PURCHASE DECISIONS VIA THE YELLOW BASKET FEATURE. 1(2). https://journal.dinamikapublika.id/index.php/Jumder
Tuo, Y. (2023). Driving Digital Marketing Success International Trade Supply Chain Management in the Era of Big Data and Internet of Things. Computer-Aided Design and Applications, 186–197. https://doi.org/10.14733/cadaps.2024.S4.186-197
Ullal, M. S., Hawaldar, I. T., Soni, R., & Nadeem, M. (2021). The Role of Machine Learning in Digital Marketing. Sage Open, 11(4). https://doi.org/10.1177/21582440211050394
Wang, J. (2023). Cost control problems and countermeasures of e-commerce enterprises under the background of big data and Internet of Things. Journal of Computational Methods in Sciences and Engineering, 23(6), 3135–3145. https://doi.org/10.3233/JCM-226931
Wang, S. (2023). Research on the Digital Marketing Strategies in the E-commerce Logistics Service Mode under the Influence of Big Data. Computer-Aided Design and Applications, 39–55. https://doi.org/10.14733/cadaps.2024.S4.39-55
Widjaja, A. F. (2025). FACTORS INFLUENCING PURCHASE INTENTION IN E-COMMERCE: AN ANALYSIS OF BRAND IMAGE, PRODUCT QUALITY, AND PRICE. 1(3). https://journal.dinamikapublika.id/index.php/Jumder
Wigayha, C. K., Rolando, B., & Wijaya, A. J. (2024). PELUANG BISNIS DALAM INDUSTRI HIJAU DAN ENERGI TERBARUKAN (Vol. 1, Issue 1). https://journal.dinamikapublika.id/index.php/Jumder
Wigayha, C. K., Rolando, B., & Wijaya, A. J. (2025). A DEMOGRAPHIC ANALYSIS OF CONSUMER BEHAVIORAL PATTERNS ON DIGITAL E-COMMERCE PLATFORMS. 1(2). https://journal.dinamikapublika.id/index.php/Jumder
Winata, V., & Arma, O. (2025). ANALYZING THE EFFECT OF E-WALLET USABILITY ON CUSTOMER RETENTION IN MOBILE PAYMENT APPS. 1(2). https://journal.dinamikapublika.id/index.php/Jumder
Wu, Z., & Shi, Y. (2024). DEVELOPMENT AND DIGITALIZATION OF CULTURAL INDUSTRY MARKETING BASED ON BIG DATA. Environmental Engineering and Management Journal, 23(5), 1097–1108. https://doi.org/10.30638/eemj.2024.089
Zahran, A. M. (2025). THE IMPACT OF MARKETING STRATEGIES ON THE SUCCESS OF THE FAST FASHION INDUSTRY: A SYSTEMATIC REVIEW. 1(3). https://journal.dinamikapublika.id/index.php/Jumder
Zhang, C., Zhang, S., & Jin, D. (2024). Analysis of the Impact of Artificial Intelligence-Driven Internet Celebrity Anchor Marketing on Consumer Psychological Health Through Big Dat. Computer-Aided Design and Applications, 118–129. https://doi.org/10.14733/cadaps.2024.S24.118-129
Zhang, L., & Yu, H. (2023). Digital Marketing Evaluation of Applied Undergraduate Talent Training with E-commerce using Big Data Mining and Communication Technology Support. Computer-Aided Design and Applications, 103–118. https://doi.org/10.14733/cadaps.2024.S4.103-118
Zhao, X. (2022). Research on management informatization construction of electric power enterprise based on big data technology. Energy Reports, 8, 535–545. https://doi.org/10.1016/j.egyr.2022.05.124
Zhu, X. (2023). Revolutionizing Logistics Supply Chain Management and Cost Control through Digital Marketing in the Era of Big Data and Internet of Things. Computer-Aided Design and Applications, 174–185. https://doi.org/10.14733/cadaps.2024.S4.174-185