Empowering Banking Operations Through Excel Innovations for Data Precision and Security
Keywords:
Automation, Banking Sector, Data Management, Excel, Financial Modelling, Visual Basic for Applications (VBA)Abstract
Excel plays a pivotal role in the banking sector due to its unparalleled versatility and robust data processing capabilities. It serves as a fundamental tool for handling complex financial calculations, data management, risk assessment, and generating comprehensive reports. Its ability to organize, analyze, and visualize vast volumes of financial information empowers banking professionals to make informed decisions crucial for managing investments, determining lending strategies, and optimizing financial portfolios. Excel's adaptability and proficiency in financial modeling, analysis, and reporting make it an indispensable asset in ensuring the effectiveness and success of banking operations. The research paper delves into Excel's pivotal role in the banking sector, highlighting its versatile functions vital for robust data management and analysis. Excel's capability to handle vast financial information, perform complex calculations, and generate comprehensive reports stands as a cornerstone in banking operations. This paper discusses the significance of Visual Basic for Applications (VBA) and macros in Excel, detailing how these tools empower automation and customization, enhancing Excel's capabilities beyond basic functionalities. Moreover, the paper outlines specific enhancements desired in Excel's functionality for security and number formatting in the banking domain. It proposes a model using VBA procedures to address these issues, incorporating functionalities such as importing numbers with leading zeros and hiding/unhiding worksheets with user-supplied passwords. The experimental results showcase step-by-step procedures, VBA implementation, and validations for the proposed enhancements. The research aims to improve Excel's efficiency and usability in banking operations, offering solutions to streamline processes and ensure data accuracy.
References
Naik PG, Kamath RS, Jamsandekar MS, Mahajan MK, Patil MM. Enhancing the usability of library system at CSIBER using QR code. IOSR J Computer Eng. 2015;17(3):33–41.
Pude GC, Naik GR, Naik PG. Application of value stream mapping tools for process improvement a case study in foundry. IOSR J Mech Civil Eng. 2012;3:7–12.
Naik GR, Menon B, Huddar MR. Design and development of framework for computation of CO attainment of unstructured Excel data. Int Res J Humanities Intersdiscipl Stud. 2023; February:
–30.
Naik PG, Jamsandekar MS, Mahajan MK, Kamath RS, Patil MM. Implementation of Excel parser for web integration of digital evaluation system of CSIBER. Int J Recent Innov Trends ComputCommun.2016;4(6):527–534.
Reddy RC, Bhattacharjee B, Mishra D, Mandal A. A systematic literature review towards a conceptual framework for enablers and barriers of an enterprise data science strategy. Inform Syst e-Business Manage. 2022;20(1):223–255.
Haleem A, Javaid M, Qadri MA, Singh RP, Suman R. Artificial intelligence (AI) applications for marketing: a literature-based study. Int JIntellNetw. 2022;3: 119–132.
Singh PP, Anik FI, Senapati R, Sinha A, Sakib N, Hossain E. Investigating customer churn in banking: a machine learning approach and visualization app for data science and management. Data Sci Manage. 2023;7 (1): 7–16.
Ali S, Akhlaq F, Imran AS, Kastrati Z, Daudpota SM, Moosa M. The enlightening role of explainable artificial intelligence in medical & healthcare domains: a systematic literature review. Computers Biol Med. 2023;166:107555.
Jinping L. Excel under the information technology application in financial management research. In: 2017 29th Chinese Control and Decision Conference (CCDC), Chongqing, China, May 28–30, 2017.pp. 2575–2578.
Kajáti E, Miškuf M, Papcun P. Advanced analysis of manufacturing data in Excel and itsadd-ins. In: 2017 IEEE 15th International Symposium on Applied Machine Intelligence and Informatics (SAMI), Herl'any, Slovakia, January 26–28, 2017.pp. 000491–000496.
Pengpeng L, Ruiqing D. Applications of Excel VBA in data calculation and charts creation of mineral resource economics. In: 2014 Fourth International Conference on Instrumentation and Measurement, Computer, Communication and Control, Harbin, China, September 18–20, 2014.pp. 815–819.
Pupavac D, Baburić M. Using Excel spreadsheet for inventory analysis. In: 2011 Proceedings of the 34th International Convention MIPRO,Opatija, Croatia, May 23–27, 2011.pp. 1348–1350.
