Campaign Management System with Big Data Analytics in Marketing Products through Digital Channel

Euis Nurninawati; Chaidir Kurnia Thoullah Soedaryono; Muzaffar Hamzah

doi:10.59653/ijmars.v1i03.103

Authors

Euis Nurninawati University Raharja
Chaidir Kurnia Thoullah Soedaryono University Raharja
Muzaffar Hamzah University of Malaysia Sabah

DOI:

https://doi.org/10.59653/ijmars.v1i03.103

Keywords:

Campaign, Big Data, Webservers, Banking, Customers

Abstract

Data is the new gold in the industrial revolution era 4.0, with the development of internet-based technology, big data, blockchain etc. a lot of data is created from this process, as well as in the banking world a lot of data is created from transactions made by customers and demographic data created when customers opening banking products, this can help companies understand client desires in meeting their financial needs, big data is the right tool for processing large data within companies and can help companies make decisions, one of the company's obstacles is in marketing their products to customers during the Covid 19 pandemic, the disconnection of interaction with customers directly affected company sales, especially banking, the infrequency of customers coming to branches resulted in difficulties for marketing companies and explaining products to sell to customers. With a campaign management system that can transmit to customers via digital channels such as WhatsApp, email and SMS and supported by big data technology, it will help companies sell products without having to interact directly, this can increase company profits and can help customers in their financial needs.

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References

Abdel Sabour, K., & Al-Waeli, A. (2023). The effect of Blockchain technology as a moderator on the relationship between big data and the risk of financial disclosure (analytical study in the Egyptian and Iraqi stock exchange). Eastern-European Journal of Enterprise Technologies, 1(13 (121)). https://doi.org/10.15587/1729-4061.2023.274641

Ali, Q., Salman, A., Yaacob, H., Zaini, Z., & Abdullah, R. (2020). Does big data analytics enhance sustainability and financial performance? The case of ASEAN banks. Journal of Asian Finance, Economics and Business, 7(7). https://doi.org/10.13106/jafeb.2020.vol7.no7.001

Attaran, M., Stark, J., & Stotler, D. (2018). Opportunities and challenges for big data analytics in US higher education: A conceptual model for implementation. Industry and Higher Education, 32(3). https://doi.org/10.1177/0950422218770937

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

Cantú, C., Cavallino, P., De Fiore, F., & Yetman, J. (2021). A global database on central banks’ monetary responses to Covid-19. Monetary and Economic Department, 934.

Chaurasia, S. S., Kodwani, D., Lachhwani, H., & Ketkar, M. A. (2018). Big data academic and learning analytics. International Journal of Educational Management, 32(6). https://doi.org/10.1108/ijem-08-2017-0199

Chen, J. H., Ha, N. T. T., Tai, H. W., & Chang, C. A. (2020). The willingness to adopt the internet of things (IoT) conception in Taiwan’s construction industry. Journal of Civil Engineering and Management, 26(6). https://doi.org/10.3846/jcem.2020.12639

Contessoto, V. G., Cheng, R. R., Hajitaheri, A., Dodero-Rojas, E., Mello, M. F., Lieberman-Aiden, E., Wolynes, P. G., Di Pierro, M., & Onuchic, J. N. (2021). The Nucleome Data Bank: Web-based resources to simulate and analyze the three-dimensional genome. Nucleic Acids Research, 49(D1). https://doi.org/10.1093/nar/gkaa818

Dicuonzo, G., Galeone, G., Zappimbulso, E., & Dell’Atti, V. (2019). RISK MANAGEMENT 4.0: THE ROLE OF BIG DATA ANALYTICS IN THE BANK SECTOR. International Journal of Economics and Financial Issues, 9(6). https://doi.org/10.32479/ijefi.8556

Dinh, L. T. N., Karmakar, G., & Kamruzzaman, J. (2020). A survey on context awareness in big data analytics for business applications. Knowledge and Information Systems, 62(9). https://doi.org/10.1007/s10115-020-01462-3

Fazekas, M., Abdou, A., Kazmina, Y., & Regős, N. (2022). Development aid contracts database: World Bank, Inter-American Development Bank, and EuropeAid. Data in Brief, 42. https://doi.org/10.1016/j.dib.2022.108121

Fernández-Arruti, P., Vázquez, A. M., Dafonte, C., Fernández, D., & Nóvoa, F. J. (2023). Real-Time Network Auditing System Based on Low-Cost IoT Devices. Lecture Notes in Networks and Systems, 594 LNNS. https://doi.org/10.1007/978-3-031-21333-5_106

Giebe, C., & Menrad, M. (2023). Human Resources Development for the Use of Big Data Analytics in the Customer Business of German Banks. https://doi.org/10.4018/978-1-6684-5959-1.ch009

Guan, X., & Wang, K. (2022). Visual Communication Design Using Machine Vision and Digital Media Communication Technology. Wireless Communications and Mobile Computing, 2022. https://doi.org/10.1155/2022/6235913

Kaur, M., & Kaur, M. (2020). The impact of bank-specific attributes on web-based disclosure practices of global banks. Management and Accounting Review, 19(1). https://doi.org/10.24191/mar.v19i01-05

Kristanto, T., & Sholik, M. (2022). PELATIHAN PEMBUATAN DATABASE DAN PELAPORAN KEUANGAN BAGI PEGAWAI BANK INDONESIA. Jurnal Berdaya Mandiri, 4(2). https://doi.org/10.31316/jbm.v4i2.1826

Lee, K. T., Ahn, H., & Kim, J. H. (2023). Project Coordinators’ Perceptions according to the Organization Structure to Reduce Communication Risks in Multinational Project. KSCE Journal of Civil Engineering, 27(3). https://doi.org/10.1007/s12205-023-0862-x

Li, Y. (2022). Reflections on the Innovation of University Scientific Research Management in the Era of Big Data. Scientific Programming, 2022. https://doi.org/10.1155/2022/7674486

Nurcahyo, A. (2018). Peran Digital Marketing dan Harga Kompetitif Terhadap Keputusan Berlangganan Indihome. Relevance: Journal of Management and Business, 1(1). https://doi.org/10.22515/relevance.v1i1.1270

Oussous, A., Benjelloun, F. Z., Ait Lahcen, A., & Belfkih, S. (2018). Big Data technologies: A survey. In Journal of King Saud University - Computer and Information Sciences (Vol. 30, Issue 4). https://doi.org/10.1016/j.jksuci.2017.06.001

P.G, D. S. W. (2018). Potential Benefits and Business Value of Big Data Analytics. Majalah Ilmiah Bijak, 15(2).

Yaqoob, A., Ashraf, M. A., Ferooz, F., Butt, A. H., & Daanial Khan, Y. (2019). WSN Operating Systems for Internet of Things(IoT): A Survey. 3rd International Conference on Innovative Computing, ICIC 2019. https://doi.org/10.1109/ICIC48496.2019.8966731.