Integrating TOGAF and Big Data for Digital Transformation: Case Study on the Lending Industry


  • Andreas Yudhistira Information System Management Department, Binus Graduate Program – Master of Information System Management, Bina Nusantara University
  • Ahmad Nurul Fajar Information System Management Department, Binus Graduate Program – Master of Information System Management, Bina Nusantara University, Jakarta




Enterprise Architecture, Big Data, Lending Industry, TOGAF, Digital Transformation


In today’s digital era, the strategic integration of enterprise architecture frameworks with Big Data technologies is crucial in driving digital transformation, especially within the lending industry. This research aims to identify and analyze how The Open Group Architecture Framework (TOGAF) can be integrated with Big Data to enhance innovation, operational efficiency, and decision-making in the lending sector. This study examines Indonesian financial institutions using qualitative case studies, exploring the intricate practices, challenges, and benefits of the combination of TOGAF and Big Data. The qualitative methodology focuses on in-depth interviews and document analysis to gather contextual insights into the implementation dynamics and impacts of these technologies. Findings indicate that integrating TOGAF and Big Data not only streamlines workflows but also significantly enhances data security and risk management—critical elements in the lending industry. A vital outcome of this study is the development of a robust integration model that serves as a blueprint for companies in similar sectors to navigate their digital transformation journeys. Additionally, this research provides strategic recommendations to overcome integration and implementation challenges. These guidelines facilitate the transition to a more cohesive and strengthened digital architecture, equipping financial institutions to manage the complexities of modern digital economies effectively. Ultimately, this study delivers a comprehensive framework that enriches theoretical understanding and offers practical insights for effective technology integration in financial services.

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Afarah, S. F., Hindarto, D., & Wahyuddin, M. I. (2024). Optimizing Automotive Manufacturing Systems through TOGAF Modelling. 9(1), 414–425.

Afarini, N., & Hindarto, D. (2023). The Proposed Implementation of Enterprise Architecture in E-Government Development and Services. 3(December), 219–229.

Amalia, N., & Hindarto, D. (2024). Enterprise Architecture for Efficient Integration of IoT Lighting System in Smart City Framework. Sinkron, 8(2), 1091–1099. e-ISSN

Andry, J. F. (2020). Perancangan Arsitektur Bisnis Pada Industri Aluminium Foil Menggunakan Togaf. IT Journal Research and Development, 5(1), 98–108.

Elayan, O. N., & Mustafa, A. M. (2021). Android malware detection using deep learning. Procedia Computer Science, 184(2019), 847–852.

Hindarto, D. (2023a). Enterprise Architecture Development to Strengthen Sustainability in the Supply Chain. JTIK, 7(4).

Hindarto, D. (2023b). The Management of Projects is Improved Through Enterprise Architecture on Project Management Application Systems. International Journal Software Engineering and Computer Science (IJSECS), 3(2 SE-Articles), 151–161.

Hindarto, D. (2024). Building the Future of the Apparel Industry : The Digital Revolution in Enterprise Architecture. Sinkron, 9(1), 542–555.

Liu, Y., Zhang, Y., Xie, X., & Mei, S. (2024). Affording digital transformation : The role of industrial Internet platform in traditional manufacturing enterprises digital transformation. Heliyon, 10(March).

Onorato, G., Pampurini, F., & Grazia, A. (2024). Research in International Business and Finance Lending activity efficiency . A comparison between fintech firms and the banking sector. Research in International Business and Finance, 68(June 2023).

Prawira, K. T., Makmur, A., & Santoso, H. (2023). Enterprise Architecture for Payment System Industry in Industrial Era 4.0. Sinkron, 8(1), 517–525.

Stefanelli, V., Ferilli, G. B., & Boscia, V. (2022). Exploring the lending business crowdfunding to support SMEs’ financing decisions. Journal of Innovation & Knowledge, 7.

Wang, D., & Shao, X. (2024). Research on the impact of digital transformation on the production efficiency of manufacturing enterprises : Institution-based analysis of the threshold effect. International Review of Economics and Finance, 91(December 2023), 883–897.

Wang, F., Gai, Y., & Zhang, H. (2024). Blockchain user digital identity big data and information security process protection based on network trust. Journal of King Saud University - Computer and Information Sciences, 36(April).

Wang, J., Liu, G., Xu, X., & Xing, X. (2024). Credit risk prediction for small and medium enterprises utilizing adjacent enterprise data and a relational graph attention network. Journal of Management Science and Engineering, 9, 177–192.

Werner, T., Lehan, A., Werner, T., & Lehan, A. (2023). Enterprise Architecture Management (EAM) as a fundamental approach for the digital transformation of the German road infrastructure management. ScienceDirect, 00(2022).

Zhang, N., Zhao, X., & He, X. (2020). Understanding the relationships between information architectures and business models: An empirical study on the success configurations of smart communities. Government Information Quarterly, 37(2), 101439.

Zuo, W., Yu, D., Hu, Q., & Liu, L. (2024). A big data quality evaluation method based on group heterogeneity rationality perception information fusion. Computers & Industrial Engineering, 190(January).


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How to Cite

Yudhistira, A. ., & Fajar, A. N. . (2024). Integrating TOGAF and Big Data for Digital Transformation: Case Study on the Lending Industry. Sinkron : Jurnal Dan Penelitian Teknik Informatika, 8(2), 1215-1225.