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Robotic Process Automation: Lessons Learned from Case Studies

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  • Cristina-Claudia OSMAN

Abstract

Nowadays, there is a trend in automating repetitive tasks in order to reduce human errors or costs. Digitization asks for new strategies in business processes. Robotic Process Automation (RPA) includes a set of emerging technologies that promises the automation of business processes by using software robots that are trained based on human tasks. Companies need to constantly monitor their own business processes in order to identify and optimize processes suitable for automation. In 2018, Forrester identified UiPath, Automation Anywhere, and Blue Prism as being the leaders providing RPA solutions by using 30-criteria evaluation. This paper examines ten case studies of companies integrating RPA and presents a series of lessons provided by practice. Not all processes are suitable for automation, all case studies identifying five fundamental criteria to be considered.

Suggested Citation

  • Cristina-Claudia OSMAN, 2019. "Robotic Process Automation: Lessons Learned from Case Studies," Informatica Economica, Academy of Economic Studies - Bucharest, Romania, vol. 23(4), pages 66-71.
    • Handle: RePEc:aes:infoec:v:23:y:2019:i:4:p:66-71
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    1. Willcocks, Leslie P. & Lacity, Mary & Craig, Andrew, 2015. "The IT function and robotic process automation," LSE Research Online Documents on Economics 64519, London School of Economics and Political Science, LSE Library.
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