Indexing Robotic Process Automation Products |
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© 2023 by IJCTT Journal | ||
Volume-71 Issue-8 |
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Year of Publication : 2023 | ||
Authors : Shreekant Mandvikar | ||
DOI : 10.14445/22312803/IJCTT-V71I8P108 |
How to Cite?
Shreekant Mandvikar, "Indexing Robotic Process Automation Products," International Journal of Computer Trends and Technology, vol. 71, no. 8, pp. 52-56, 2023. Crossref, https://doi.org/10.14445/22312803/IJCTT-V71I8P108
Abstract
The article addresses organizations' challenges in selecting the most suitable Robotic Process Automation (RPA) product from many available options. To overcome the subjective biases that often mar the selection process, the article proposes a scientific method for indexing RPA products. This methodology is based on establishing clear evaluation criteria, such as functionality, performance, scalability, and user-friendliness. A rating scale is created for objective comparison and rigorous data collection from various sources. The data is then analyzed quantitatively, employing weighted analysis to account for the varying importance of different criteria. Organizations can make data-driven decisions by calculating an overall index score for each product. Moreover, the utility of a Proof of Concept (POC) in the final selection phase is highlighted, allowing businesses to test the applicability of shortlisted RPA tools in real-world scenarios. In conclusion, the article advocates for a systematic and scientific approach to RPA product selection, ensuring businesses can align their automation initiatives with products that best fit their unique requirements and objectives.
Keywords
Comparison of robotic process automation offering, Evaluation of robotic process automation, Open-source robotic process automation, Product selection approach, Robotic process automation.
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