Cloud-Enabled Financial Data Integration and Automation: Leveraging Data in the Cloud
Swathi Chundru
Vol. 8, Jan-Dec 2022
Page Number: 197 - 213
Abstract:
As organizations increasingly rely on data-driven decision-making, the need for effective data integration and automation has become paramount. Cloud-enabled technologies provide a powerful solution to these challenges, offering scalable, flexible, and efficient methods for managing and analysing vast amounts of data. This paper explores the landscape of cloud-enabled data integration and automation, highlighting its significance in enhancing operational efficiency and enabling real-time insights. We examine various case studies across industries, illustrating successful implementations and the resulting improvements in decision-making and operational performance. Additionally, we discuss common challenges organizations face, such as data security, integration complexity, and skill gaps, alongside potential solutions. Finally, we explore future trends, including advancements in artificial intelligence, the increasing importance of data governance, and the growing adoption of multi-cloud strategies. This comprehensive analysis underscores the transformative potential of cloud technologies in modern data management and sets the stage for future innovations in the field.
References
- M. Marston, Z. Li, S. Bandyopadhyay, and J. Zhang, 'Cloud computing: A computing revolution,' Computer, vol. 43, no. 4, pp. 123-125, Apr. 2010.
- Gartner, 'Forecast: Public Cloud Services, Worldwide, 2018-2024,' 2020. [Online]. Available: https://www.gartner.com/en/newsroom/press-releases/2020-04-02-forecast-public-cloud-services-worldwide-2018-2024
- A. A. Al-Emran and S. Al-Hawari, 'Cloud computing for data integration: A review,' Journal of Cloud Computing: Advances, Systems and Applications, vol. 6, no. 1, pp. 1-9, Jan. 2017.
- A. J. H. C. M. Chui and S. S. B. N. De Silva, 'Robotic process automation: A framework for successful implementation,' Business Horizons, vol. 62, no. 4, pp. 471-481, July-Aug. 2019.
- A. Syed, I. T. Al-Fawzan, and B. J. D. Al-Harthy, 'Cloud automation for business process efficiency,' International Journal of Information Systems and Computer Science, vol. 3, no. 4, pp. 20-30, 2019.
- T. Demirkan and D. Delen, 'Leveraging the capabilities of service-oriented architecture and cloud computing,' Intelligent Systems in Accounting, Finance and Management, vol. 20, no. 1, pp. 6-27, 2013.
- S. Jones, 'Integrating cloud computing and healthcare data,' Health Informatics Journal, vol. 25, no. 3, pp. 166-177, 2019.
- R. S. Tiwari and A. S. Kumar, 'Financial data integration using cloud computing,' International Journal of Cloud Computing and Services Science, vol. 9, no. 3, pp. 157-167, 2020.
- Cloud Security Alliance, 'Top Threats to Cloud Computing: The Egregious 11,' 2020. [Online]. Available: https://cloudsecurityalliance.org/artifacts/top-threats-to-cloud-computing-the-egregious-11/
- K. H. Meyer and M. C. Khodabakhshian, 'Real-time patient data integration for enhanced healthcare outcomes,' Journal of Healthcare Informatics Research, vol. 4, no. 1, pp. 1-20, Mar. 2020.
- J. H. K. Yu and C. Y. P. Wong, 'Automating financial data integration and compliance reporting,' Journal of Financial Technology, vol. 2, no. 3, pp. 45-62, July 2020.
- A. N. Naik and R. S. Patil, “Cloud-based retail analytics for improved customer engagement,” International Journal of Retail & Distribution Management, vol. 48, no. 7, pp. 701-721, 2020.
- C. D. F. Wang and J. R. Liu, 'IoT-driven smart manufacturing: Integration and automation strategies,' Journal of Manufacturing Systems, vol. 54, pp. 158-169, 2020.
- A. J. O. Mbogo and S. M. Nyang'oro, 'Data privacy and security challenges in cloud computing: A review,' International Journal of Computer Applications, vol. 175, no. 2, pp. 1-7, 2020.
- M. O. A. Abubakar and N. Z. N. Muhammad, 'Challenges in cloud data integration: A survey,' Journal of Cloud Computing: Advances, Systems and Applications, vol. 9, no. 1, pp. 12-25, 2020.
- K. M. K. Reddy and D. S. Babu, 'Scalability issues in cloud computing and its solutions,' International Journal of Cloud Computing and Services Science, vol. 10, no. 1, pp. 1-10, 2021.
Back Download