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BELGE TABANLI BANKACILIK SÜREÇLERİ İÇİN AKILLI SİSTEM TASARIMI

Year 2022, , 760 - 773, 03.12.2022
https://doi.org/10.17780/ksujes.1166624

Abstract

İş süreci otomasyonu, sıradan ve tekrarlayan görevleri ortadan kaldırarak şirketlere yardımcı olmaktadır. Otomasyon araçları birçok sektörde kullanılmakta olup, şirketlere yüksek tam zamanlı çalışan (FTE) tasarrufu ve düşük hata oranları sağlamaktadır. Bankalar, ana bankacılık ve şube operasyonları için otomasyon araçlarını kullanmaktadırlar. Ayrıca her gün bankalara mahkemelerden, belediyelerden ve üçüncü şahıslardan yüzlerce ihbar belgesi gelir; ve bu belgeler genellikle müşteriler hakkında özel ve zamana duyarlı bilgiler içerir. Bu belgelerin otomatik işlenmesi prosedürü, optik karakter tanıma (OCR), doğal dil işleme (NLP) ve sınıflandırma gibi özel çözümler gerektirir; ve modern süreç otomasyon araçları, uçtan uca otomasyon sağlamak için bu çözümleri kullanabilir.

Bu makale, Türkiye'de hesap kapatma, ödeme blokajı gibi bildirim belgelerinin nasıl otomatikleştirilebileceğini tartışmaktadır.

References

  • Asatiani, A. P. (2016). Turning robotic process automation into commercial success. OpusCapita. J. Inf. Technol. Teach. Cases, 6(2).
  • Doguc, O. (2019). Robot Process Automation (RPA) and It’s Future. In Handbook of Research on Strategic Fit and Design in Business Ecosystems (pp. 469–492). Igi-Global.
  • Hindle, J. L. (2018). ROBOTIC PROCESS AUTOMATION: Benchmarking the Client Experience. Knowledge Capital Partners. How digital labor can drive efficiency in oil and gas. (2019). https://www.ey.com/en_ie/oil-gas/how-digital-labor-can-drive-efficiency-in-oil-and-gas
  • Kaya, C. T., Türkyılmaz, M., & Birol, B. (2019). Impact of RPA technologies on accounting systems. Muhasebe ve Finansman Dergisi, 82, 235–250.
  • Kelemen, Z. (2019). Impact: How RPA and AI Technologies Will Affect the Job Market. https://medium.com/slalom-technology/impact-how-rpa-and-ai-technologies-will-affect-the-job-market-b54045a5e598
  • Kroll, C., Bujak, A., Darius, V., Enders, W., & Esser, M. (2016). Capgemini Consulting: Robotic Process Automation-Robots conquer business processes in back offices. https://www.de.capgemini-consulting.com/resource-file-access/
  • Kukreja, M., & Nervaiya, A. s. (2016). Study of Robotic Process Automation (RPA. International Journal on Recent and Innovation Trends in Computing and Communication, 4(6), 434–437.
  • Laurent, P., Chollet, T., & Herzberg, E. (2019). Intelligent Automation Entering the Business World.
  • Park, J., Yoo, G., Jeong, C., & Lee, E. (2006). Self-management System Based on Self-healing Mechanism. 372–382. https://doi.org/10.1007/11876601_38
  • Singh, T., & Kumar, A. (2016). Survey on Characteristics of Autonomous System. International Journal of Computer Science and Information Technology, 8, 121–128. https://doi.org/10.5121/ijcsit.2016.8210
  • Sun, Z., & Wu., Z. (2022). Handbook of Research on Foundations and Applications of Intelligent Business Analytics. IGI Global.
  • Willcocks, L. P., Lacity, M., & Craig, A. (2015). The IT function and robotic process automation. https://EconPapers.repec.org/RePEc:ehl:lserod:64519

AN INTELLIGENT SYSTEM FOR DOCUMENT-BASED BANKING PROCESSES

Year 2022, , 760 - 773, 03.12.2022
https://doi.org/10.17780/ksujes.1166624

Abstract

Business process automation has been helping companies by eliminating mundane and repetitive tasks. Automation tools have been used in many sectors, providing high full-time employee (FTE) savings and low error rates to the companies. Banks have been utilizing the automation tools for core banking and branch operations. In addition, banks receive hundreds of notice documents from courts, municipalities and third parties; which usually contain private and time-sensitive information about their customers. Automated document processing requires special solutions such as optical character recognition (OCR), natural language processing (NLP) and taxonomy; and modern process automation tools can utilize these solutions to provide end-to-end automation.

This paper discusses how the notice documents such as account closure, payment blockage in Turkey can be automated.

References

  • Asatiani, A. P. (2016). Turning robotic process automation into commercial success. OpusCapita. J. Inf. Technol. Teach. Cases, 6(2).
  • Doguc, O. (2019). Robot Process Automation (RPA) and It’s Future. In Handbook of Research on Strategic Fit and Design in Business Ecosystems (pp. 469–492). Igi-Global.
  • Hindle, J. L. (2018). ROBOTIC PROCESS AUTOMATION: Benchmarking the Client Experience. Knowledge Capital Partners. How digital labor can drive efficiency in oil and gas. (2019). https://www.ey.com/en_ie/oil-gas/how-digital-labor-can-drive-efficiency-in-oil-and-gas
  • Kaya, C. T., Türkyılmaz, M., & Birol, B. (2019). Impact of RPA technologies on accounting systems. Muhasebe ve Finansman Dergisi, 82, 235–250.
  • Kelemen, Z. (2019). Impact: How RPA and AI Technologies Will Affect the Job Market. https://medium.com/slalom-technology/impact-how-rpa-and-ai-technologies-will-affect-the-job-market-b54045a5e598
  • Kroll, C., Bujak, A., Darius, V., Enders, W., & Esser, M. (2016). Capgemini Consulting: Robotic Process Automation-Robots conquer business processes in back offices. https://www.de.capgemini-consulting.com/resource-file-access/
  • Kukreja, M., & Nervaiya, A. s. (2016). Study of Robotic Process Automation (RPA. International Journal on Recent and Innovation Trends in Computing and Communication, 4(6), 434–437.
  • Laurent, P., Chollet, T., & Herzberg, E. (2019). Intelligent Automation Entering the Business World.
  • Park, J., Yoo, G., Jeong, C., & Lee, E. (2006). Self-management System Based on Self-healing Mechanism. 372–382. https://doi.org/10.1007/11876601_38
  • Singh, T., & Kumar, A. (2016). Survey on Characteristics of Autonomous System. International Journal of Computer Science and Information Technology, 8, 121–128. https://doi.org/10.5121/ijcsit.2016.8210
  • Sun, Z., & Wu., Z. (2022). Handbook of Research on Foundations and Applications of Intelligent Business Analytics. IGI Global.
  • Willcocks, L. P., Lacity, M., & Craig, A. (2015). The IT function and robotic process automation. https://EconPapers.repec.org/RePEc:ehl:lserod:64519
There are 12 citations in total.

Details

Primary Language English
Subjects Computer Software
Journal Section Computer Engineering
Authors

Ozge Doguc 0000-0002-5971-9218

Publication Date December 3, 2022
Submission Date August 24, 2022
Published in Issue Year 2022

Cite

APA Doguc, O. (2022). AN INTELLIGENT SYSTEM FOR DOCUMENT-BASED BANKING PROCESSES. Kahramanmaraş Sütçü İmam Üniversitesi Mühendislik Bilimleri Dergisi, 25(4), 760-773. https://doi.org/10.17780/ksujes.1166624