THE ROLE OF ANALYTICAL AND VISUALIZATION DATA TO OPTIMIZE ONLINE SALES
Abstract
In the digital era, data analytics is a key factor in increasing sales and competitiveness for individuals, companies, industries or governments. The use of data analytics allows us to understand market trends, customer behavior, and develop more effective marketing strategies. Studies show that companies that implement data analytics experience significant increases in revenue and better operational efficiency. The purpose of this article is to review how analytics can be used to understand audience behavior and preferences, and how this information can be used to target the right consumers with more relevant messages. By using sophisticated analytics tools, companies can gain insights from customer data, from purchasing patterns to interactions with digital platforms, enabling more informed and accurate decision making. Through a data-driven approach, companies can provide more personalized services and increase customer satisfaction. The implementation of data analytics also allows businesses to respond to market changes more quickly and precisely. With proper implementation, data analytics is not only a decision support tool, but also a key strategy in business growth. Therefore, investment in analytics technology is essential to ensure the sustainability and competitiveness of companies in the long term. In the data analytics process, there are 4 stages, namely Data collection, Data processing, Data analysis, and Data interpretation. Companies can gain competitive advantage by optimizing operations, increasing efficiency, responding to market changes, and predicting future trends through this process. Data analytics changes the way businesses operate by helping to understand customers, find opportunities, and make evidence-based decisions. It also improves operational efficiency and risk management, supporting innovation and long-term growth. The output targets of this activity are publications in international/national journals/Proceedings, IPR/HKI and publications on social media.
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Gathani, S., Liu, Z., Haas, P. J., & Demiralp, Ç. (2025). What-if Analysis for Business Professionals: Current Practices and Future Opportunities. Conference on Human Factors in Computing Systems - Proceedings . https://doi.org/10.1145/3706598.3713672
HIDAYAH, N., UTAMI, F. L., & ALI, A. J. (2024). Financial Planning Aspects in the Era of Digital at NGO Permai Penang. Akuntansi Dan Humaniora: Jurnal Pengabdian Masyarakat, 3(1), 42–48. https://doi.org/10.38142/ahjpm.v3i1.1066
Huda, S., & Chowanda, A. (2021). Personality prediction from text on social media with machine learning. ICIC Express Letters, 15(12), 1243–1251. https://doi.org/10.24507/icicel.15.12.1243
Lee, D., & Yoon, B. (2025). The Development of a Methodology for Assessing Data Value Through the Identification of Key Determinants. Systems, 13(4). https://doi.org/10.3390/systems13040305
Prasetyo, V. R., Miranti, F. A., & Limanto, S. (2022). Implementation of Feature Selection to Reduce the Number of Features in Determining the Initial Centroid of K-Means Algorithm. 2022 International Conference on Informatics Electrical and Electronics (ICIEE). https://doi.org/10.1109/ICIEE55596.2022.10009979
Priambodo, B., Harwikarya, H., & Jumaryadi, Y. (2024). Pemanfaatan Visualisasi Data Untuk UMKM TKI di PERMAI Malaysia. Journal of Social Responsibility Projects by Higher Education Forum, 5(2), 71–76. https://doi.org/10.47065/jrespro.v5i2.5453
Sebastian, I., Jumaryadi, Y., Kusumawardani, R., & Setiawan, B. (2021). Decision Support System Feasibility of Granting Receivables on Goods Export Services in Freight Forwarding Company with Profile Matching Method. JITK (Jurnal Ilmu Pengetahuan Dan Teknologi Komputer), 7(1), 1–8.
SETIYAWATI, H., PRATIWI, R., RAHMAD, K. Bin, ZULKAFI, A. H., FEBRIANA, V., & METACESARI, M. (2025). PKM on The Development of Indonesian Community (Permai) Pulau Pinang in the Implementation of the Accounting Cycle and Financial Reporting. Akuntansi Dan Humaniora: Jurnal Pengabdian Masyarakat, 3(1), 27–35.
Siswanti, I., Nawangsari, L. C., & Rahmad, K. Bin. (2024). Strategy To Manage Finance For Pertubuhan Masyarakat Indonesia (Permai) In Pulau Pinang Malaysia. Jurnal Abdimas Perbanas, 5(4), 56–65. https://pdfs.semanticscholar.org/bbfc/3c048b69249cd0b4346ca9c8f0b09a9f35a1.pdf
YULIAWATI, E. (2024). Health Communication Literacy in Promoting the Healthy Community Movement Among Indonesian Migrant Workers in Penang – Malaysia. The 6th International Conference and Community Development (ICCD) 2024, 6(1), 161–167. https://doi.org/10.33068/iccd.v6i1.746
DOI: http://dx.doi.org/10.22441/pemanas.v5i2.34915
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