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Agile Data Management System for Smart Banking

Document Type : Original Article

Authors

1 Ph.D. Candidate of Knowledge and Information Science, Tarbiat Modares University, Tehran, Iran

2 Assistance Professor, Department of Knowledge and Information Science, Tarbiat Modares University, Tehran, Iran

3 Professor, Department of Knowledge and Information Science, Tarbiat Modares University, Tehran, Iran

4 Post-doc., Department of Knowledge and Information Science, Tarbiat Modares University, Tehran, Iran

5 Ph.D. Researcher, ICT Research Institute, Tehran, Iran

Abstract

Purpose: The main objective of this research is to present an agile data management system for the intelligent banking industry, by leveraging agile principles, the proposed system aims to support banks in generating data-driven value and smart banking.
Method: The research is grounded in the principles of systems thinking, data-centricity, lean thinking, and the agile manifesto. With a practical and developmental purpose, it employs deduction and exploration to draw conclusion. The methodology combines design science and meta-synthesis. Following the design science process, explaining the problem, describing the solution, designing initial solution (using meta-synthesis) validating the solution, and then sharing the results were all steps in the study.
Findings: The results consist of codes organized into four-tier structure: design domain, theme, category, axial code, and open code. These are presented as a conceptual model-compromising level zero and level one- which serves as the reference model for an agile data management system for smart banking.
Conclusion: An agile data management system, like any other system, it is essential to consider the data management system as having four elements: input (goals), processing (enablers), output (results), and feedback (based on agile and lean thinking). The banking industry has been slow to adopt new technologies, with many banks still reliant on mainframes. This hesitation stems partly from increased caution due to rising cyber-attacks and partly from concerns about regulatory requirements. The proposed model addresses banks' concerns by demonstrating how to integrate agile methods into a data management system for a smart bank.

Keywords

References
Amini, M., Padidarfard, M., & Garshivaz, B. (2022). A Conceptual Framework for Data-Driven Digital Transformation from the Perspective of Cyber-Physical-Social Systems Thinking. International Journal of Knowledge Processing Studies, 2(2), 31-40.
Anna, K., Lazaro, B., Solomon, O., & Matti, T. (2023). The use of Design Science and Agile Methodologies for improved information systems in the Tanzanian Higher Education context. The Electronic Journal of Information Systems in Developing Countries, 89(1), e12241.
AXELOS. (2019). ITIL 4. https://abim.go.ug/sites/files/%28ITIL%29%20Axelos%20-%20ITIL%20Foundation%204%20edition-Axelos%20%282019%29%5B1%5D.pdf
Bialek, B., Tree, O., & Weisul, K. (2022). The Road to Smart Banking. MongoDB. https://www.mongodb.com/resources/solutions/industries/the-road-to-smart-banking
DAMA. (2009). The Data Management Body of Knowledge (DAMA-DMBOK2). https://www.dama.org/cpages/body-of-knowledge
Edgar, B., Ida, S., Emma, F., Brett, T., & Sadiq, S. (2023). Integrating design thinking and agile approaches in analytics development: The case of Aginic. Journal of Information Technology Teaching Cases, 14(2), 227-240.
Frankova, P., Drahosava, M., & Balco, P. (2016). Agile project management approach and its use in big data management. The 7th International Conference on Ambient Systems, Networks and Technologies, 83, 576-583.
Gold, S., Harper, R., & Katz, J. (2023). People. Process. Technology. And Data. A Heretic’s View. The Jabian Journal, 36-44.  https://journal.jabian.com/wp-content/uploads/2023/04/People.Process.-Technology.And-Data.AHereticsView.pdf
Habibi, A. (2023). Smart Banking. https://parsmodir.com
Hand, J. (2024). WHY AGILE, SCALABLE DATA MANAGEMENT IS KEY TO DIGITAL BANKING. https://www.financederivative.com
Heil, C. (2022). Is Kanban the better Agile Approach in a Highly-Regulated Environment? Deloitte. https://www2.deloitte.com/content/dam/Deloitte/de/Documents/risk/Deloitte_Agile_Approach_in_Highly_Regulated_Environments.pdf
Highsmith, J. (2001). History: The Agile Manifesto. https://agilemanifesto.org/history.html
Ishikawa, A., Amagasa, M., Shiga, T., Tomizawa, G., Tatsuta, R., & Mieno, H. (1993). The max-min Delphi method and fuzzy Delphi method via fuzzy integration. Fuzzy sets and systems, 55(3), 241-253.
Ismail, L., Materwala, H., Karduck, A. P., & Adem, A. (2020). Requirements of health data management systems for biomedical care and research: scoping review. Journal of medical Internet research, 22(7), e17508.
Julian, Brendan, N., James, A., & Craig. (2019). Agile Practices in Practice: Towards a Theory of Agile Adoption and Process Evolution. In International Conference on Agile Software Development (pp. 3-18). Cham: Springer International Publishing.
Legner, C., Pentek, T., & Otto, B. (2020). Accumulating Design Knowledge with Reference Models: Insights from 12 Years’ Research into Data Management. Journal of the Association for Information Systems, 21(3), 735-770. doi:10.17705/1jais.00618
McKinsey & Company. (2016). Using agile to accelerate your data transformation. https://www.mckinsey.com/capabilities/mckinsey-digital/our-insights/using-agile-to-accelerate-your-data-transformation.
Monetary and Banking Research Academy. (2023). Transition to Smart Banking. Tenth Annual Electronic Banking and Payment Systems Conference. Tehran: Monetary and Banking Research Institute.
Muscad, O. (2023). A Comprehensive Guide to Smart Banking: What Does It Look Like in 2024? https://datamyte.com/blog/smart-banking/
Open Data Watch. (2014). The Data Value Chain: Moving from Production to Impact. https://opendatawatch.com/
Padidarfard, M., Sharif, A., Hasanzadeh, M., Amini, M., & Nezarat, A. (2024). Scaling Up the Agility of Data Management by Scaled Agile Data Management Framework (SADMF). International Journal of Knowledge Processing Studies, 4(4), 17-37.
Peffers, K., Tuunanen, T., Rothenberger, M., & Chatterjee, S. (2007). A design science research methodology for information systems research. Journal of management information systems, 24(3), 45-77.
PMI. (2017). Agile Practice Guide. Pennsylvania: Project Management Institute, Inc.
PMI. (2017). A Guide to the Project Management Body of Knowledge. Pennsylvania: Project Management Institute, Inc. https://trainupinstitute.com/wp-content/uploads/2022/03/Project-Management-Institute-A-Guide-to-the-Project-Management-Body-of-Knowledge-PMBOK%C2%AE-Guide%E2%80%93Sixth-Edition-Project-Management-Institute-2017.pdf
Portman, H. (2020). A new bird’s eye view on the agile forest. PM World Journal, IX(X). https://pmworldlibrary.net/wp-content/uploads/2020/09/pmwj98-Oct2020-Portman-a-new-birds-eye-view-on-agile-forest.pdf
PWC. (2019). Adaption of data governance to a data driven and agile organization. https://www.pwc.se/sv/data-analytics/adaption-of-data-governance.pdf
SAFe. (2018). Introduction the Scaled Agile Framework (SAFe) for Lean Enterprise. SCALED AGILE Inc. https://www.successfactory.cc/wp-content/uploads/2021/12/Introducing_SAFe_for_Lean_Enterprises.pdf
Sandelowski, M. Barroso, J. (2007). Toward a Meta synthesis of qualitative findings on motherhood in HIV-positive women. Research in Nursing & Health, 26 (2), 153-170.
The Modern Data Community. (2023). Amazon Web Services. https://pages.awscloud.com/rs/112-TZM-766/images/ModernDataCommunity-Ebook_v1.0.pdf
Vestues, K., Hanssen, G. K., Mikalsen, M., Buan, T. A., & Conboy, K. (2022). Agile data management in NAV: a case study. In International Conference on Agile Software Development (pp. 220-235). Cham: Springer International Publishing.
Wevalgo. (2023). Origins and History of Lean. https://www.wevalgo.com
Zarei, Sh. (2018). Smart Banking, The Cycle of Transforming Scattered Data into Centralized Knowledge. The Payment Way.
International Journal of Digital Content Management
Volume 7, Issue 12
January 2026
Pages 1-31
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History
  • Receive Date: 10 February 2025
  • Revise Date: 28 February 2025
  • Accept Date: 08 April 2025
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