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Research Paper | Data & Knowledge Engineering | United States of America | Volume 12 Issue 11, November 2023 | Rating: 5.8 / 10
Integrating Data Engineering with Intelligent Process Automation for Business Efficiency
Roja Boina [5] | Alekhya Achanta [6] | Shreekant Mandvikar [4]
Abstract: This article investigates the integration of Data Engineering and Intelligent Process Automation IPA and its importance in the modern business context. It discusses the roles of data quality, collaborative teams, and continuous improvement in ensuring effective integration. The article includes case studies demonstrating real-world applications and addresses challenges and future trends in the field. The purpose of this article is to explore the integration of Data Engineering and Intelligent Process Automation, highlighting strategies for effective collaboration and discussing the impact on business efficiency and innovation. The significance of this article lies in its comprehensive analysis of how the integration of Data Engineering and IPA can transform business processes, drive efficiency, and foster innovation in a rapidly evolving technological landscape. The conclusion emphasizes the necessity for businesses to adopt these integrative strategies for enhanced efficiency and innovation.
Keywords: Data Engineering, Intelligent Process Automation, Integration Strategies, Data Quality, Collaborative Teams, Continuous Improvement, Case Studies, Business Efficiency, Future Trends, and Emerging Technologies
Edition: Volume 12 Issue 11, November 2023,
Pages: 1736 - 1740