Proof Point
Reducing costs identified in KPMG study as most critical driver for robotic process automation in finance functions in 2018
Robotic Process Automation (RPA) Goals And Drivers In Finance Functions
2018 (percentage)
Note: | Data from KPMG’s 2018 Employing Advanced Technologies to Transform Finance survey of 1,000 professionals and 1,250 EPM professionals within KPMG’s global network of independent member firms operating in 154 countries and territories last July 2018 |
Proof Point Findings
- Robotic Process Automation (RPA) – Software bots taking control of repetitive process-driven tasks, such as automating transaction activities and supporting period-end closing process in finance functions
- Cost Priority – 39% of respondents in KPMG survey found cost reduction as most critical driver in using RPA in finance functions, with only 3% saying it is not a driver at all, in 2018
- Other Top Drivers – Improving process accuracy and efficiency (29%) and reducing headcount (24%) also named as critical goals in finance-related processes
- Key Growth Drivers – Include exponential advances in robotic and artificial intelligence technologies, proliferation of robotics and AI applications in finance functions, growing demand for business process automation to increase productivity and efficiency, and intensifying competitive environment
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Cross-sector
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Date Last Updated |
January 23, 2019
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