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Published Paper Details:
RPA & Intelligent Automation in Reporting: Automating Business Reporting with Robotic Process Automation and AI
Authors
Sundarrajan Ramalingam,Dr. Sandeep Kumar
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Keywords
Robotic Process Automation, Intelligent Automation, Business Reporting, Automation, AI, Machine Learning, Data Integration, Business Intelligence, Decision-Making, Process Optimization.
Abstract
Robotic Process Automation (RPA) and Intelligent Automation (IA) are transforming business processes by enabling the automation of repetitive, rule-based tasks, and enhancing the efficiency of complex workflows with artificial intelligence. In the context of business reporting, RPA and IA technologies offer significant improvements by automating data extraction, transformation, and reporting tasks. These technologies have become instrumental in streamlining business reporting processes, reducing manual errors, improving data accuracy, and accelerating decision-making.
RPA automates routine, time-consuming tasks by mimicking human actions within digital systems. In business reporting, RPA can automate the collection and consolidation of data from multiple sources, including spreadsheets, databases, and enterprise systems. This leads to faster generation of reports and frees up employees from repetitive tasks, allowing them to focus on higher-value activities. IA, which includes machine learning, natural language processing, and advanced analytics, enhances RPA by enabling the automation of more complex decision-making processes that were previously reliant on human judgment.
In business reporting, IA can process unstructured data and identify trends or anomalies that would be difficult for traditional reporting methods to uncover. For instance, IA can automatically detect patterns in financial reports, flag discrepancies, and provide real-time insights, all without human intervention. The integration of AI in reporting workflows not only boosts productivity but also helps organizations ensure compliance with regulations and maintain high data integrity. Additionally, IA systems can continually learn from historical data and improve their decision-making capabilities over time.
The combination of RPA and IA enables organizations to achieve a more agile, responsive business reporting environment. This synergy accelerates the report generation process, allows for real-time data analysis, and enhances the accuracy and relevance of business intelligence. Furthermore, RPA and IA can contribute to better scalability in reporting systems, as they can handle increasing data volumes and more complex reporting requirements without compromising performance or quality.
Despite these benefits, organizations must address challenges such as integrating RPA and IA technologies with existing legacy systems, ensuring data security, and managing change within teams. Successful implementation requires strong collaboration between IT, business, and data teams to design and deploy automation solutions that align with organizational goals. In the future, advancements in AI and machine learning will likely expand the scope of intelligent automation in business reporting, enabling even greater efficiencies and insights.
IJCRT's Publication Details
Unique Identification Number - IJCRT25A3447
Paper ID - 280862
Author type - Indian Author
Page Number(s) - m567-m580
Pubished in - Volume 13 | Issue 3 | March 2025
DOI (Digital Object Identifier) -
No Of Downloads - 98
Author Country - India, -, -, -, -, Science and Technology
Publisher Name - IJPUBLICATION | www.ijcrt.org | ISSN : 2320-2882
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Sundarrajan Ramalingam,Dr. Sandeep Kumar, "RPA & Intelligent Automation in Reporting: Automating Business Reporting with Robotic Process Automation and AI", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.13, Issue 3, pp.m567-m580, March 2025, Available at :http://www.ijcrt.org/papers/IJCRT25A3447.pdf
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