Designing and Analyzing B2B European Sales Performance Using an Interactive Google Looker Studio Dashboard
DOI:
https://doi.org/10.33050/icit.v12i02.4468Keywords:
Google Looker Studio, Sales Dashboard, Data Visualization, Business Intelligence, Performance AnalysisAbstract
This study aims to design and implement a dashboard that displays sales data using Google Looker Studio as a tool for analyzing company performance. The data used includes 1,001 sales transactions from 2019 to 2020, with a total revenue of EUR 112,741,144.68 and a profit of EUR 18,892,500.11. The approach used is Descriptive Analytics using interactive data visualization techniques. The analysis was conducted from three perspectives: product category, country region, and type of device used to access the data. The study shows that the Clothing category provides the largest revenue. Portugal makes the largest contribution to sales, accounting for 24.66%. Also, PC devices are the most commonly used for transactions, with a share of 78.02%. The dashboard that was made can show data in a visual and interactive way, which helps people make decisions based on data more quickly and accurately.
Downloads
References
K. C. Laudon and J. P. Laudon, Management Information Systems: Managing the Digital Firm, 15th ed. Boston, MA: Pearson Education, 2018.
Ecommerce Europe and EuroCommerce, European E-Commerce Report 2025. Amsterdam: Centre for Market Insights, Amsterdam Univ. of Applied Sciences, 2025
Eurostat, “E-Commerce Statistics.” European Commission, 2025.
E. Turban, R. Sharda, and D. Delen, Business Intelligence and Analytics: System for Decision Support, 10th ed. Boston, MA: Pearson Education, 2015.
S. Few, Information Dashboard Design: Displaying Data for At-a-Glance Monitoring. Burlingame, CA: Analytics Press, 2013.
T. N. Khasanah, N. H. Putri, S. Amalia, R. P. Rahmadani, B. Sujarwo, and M. Arifin, “Implementasi Dashboard Business Intelligence Menggunakan Looker Studio untuk Evaluasi Kinerja Penjualan Elektronik,” TEKNOFILE: Jurnal Sistem Informasi, vol. 3, no. 12, pp. 940-945,2025.
Z. Ardian, W. N. Ainy, and Arnia. “Analisis dan Visualisasi Data Monitoring Daftar Tunggu Pelanggan PT PLN (Persero) UP3 Lhokseumawe Menggunakan Google Looker Studio,” Journal of informatics and Computer Science, vol. 11, no. 1, pp. 148-154, 2025, doi: 10.33143/jics.v11i1.5191.
E. Wicaksono, E., & Panira. (2024). Visualisasi Data Opini Publik Menggunakan Looker Studio (Studi Kasus Pemilihan Umum Presiden Indonesia 2024). Jurnal ilmiah Informatika (JIF), vol. 12, pp. 89-95, 2004, doi: 10,33884/jif.v12i02.8918.
A.F. Ariani, K. Aulia, and L. O. A. Arafat, “Pengembangan Dashboard Interaktif Menggunakan Looker Studio untuk Visualisasi dan Prediksi Harga Komoditas Cabe di Jawa Timur,” Jurnal Mahasiswa Teknik Informatika (JATI), vol. 8, no. 4, pp. 8067-8074,2024, doi: 10.36040/jati.v8i4.10616.
K. Putri Adisti and I. Nugraha, “Implementasi Sistem Dashboard untuk Visualisasi Data Monitoring Penagihan dengan Menggunakan Google Looker Studio,” JATI (Jurnal Mahasiswa Teknik Informatika), vol. 9, no. 2, pp. 1854-1861, 2025.
N. T. Florencondia, C. M. Ladignon, and R. M. C. Muldong, “Enchancing Indicator (KPI) Management System for Homecorp Offshore Drafting Team,” Engineering and Technology Journal, vol. 9, no. 5, pp. 4076-40088, 2024.
K. Eberhard, “The Effects of Visualization on Judgment and Decision-Making: A Systematic Literatur Review,” Management Review Quarterly, vol. 73, no. 1, pp. 167-214, 2023, doi: 10,1007/s11301-0210-00235-8.
S. Hjelle, P. Mikalef, N. Altwaijry, and V. Parida, “The Effect of Dashboard Visualizations on Decision-Making: The Role of Task Complexity and Information Satifiscation,” Information & Management, vol.61, no. 4, art. 104011, 2024.
N. Martins, S. Martins, and D. Brandão, “Design Principles in the Development of Dashboards for Business Management,” in Perspectives on Design II: Research, Education and Practice. Cham: Springer International Publishing, 2021, pp. 353-365.
J. Han, M, Kamber, and J. Pei, Data Mining: Concepts and Techniques, 3rd ed. Waltham, MA: Morgan Kaufmann Publishers, 2012.
N. Kasiri, C. Cirino, and C. Narimanian, “The Patterns of Business Analytics Adoption in US SMEs: A Qualitative Approach,” Small Business Institute Journal vol. 20, no. 1, pp. 26-36, 2024.
