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What is Robotic Process Automation?

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Robotic Process Automation (RPA) is the process of programming specialised software to perform and automate repetitive tasks. It works by copying the input of a human in the front-end Graphical User Interface (GUI) of a software and executing it.

It is best suited for repetitive routine tasks, particularly those which need to be carried out using dated applications for which traditional automation (interfacing or querying the back-end system) is not possible.

Interested to find out more? You can watch a LinkedIn Learning video here, or browse the free RPA platforms here. Alternatively, you can read Gartner reviews of the top three RPA software platforms below:

UI Path

Automation Anywhere

SS&C Blue Prism

Further reading on RPA

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Interested to read more about RPA? The following articles from Gartner are available for further reading. Do note that you are required to login to view them.

Magic Quadrant for Robotic Process Automation The RPA software market remains a rapidly growing segment of the enterprise software market. The RPA software segment’s revenue grew by 31% to $2.4 billion in 2021, well above the average worldwide software market growth rate of 16%.
Quick Answer: How to Choose the Right Use Cases for Robotic Process Automation RPA has the potential to deliver cost savings, accelerate processes and increase employee productivity, but nearly 50% of the organizations using it fail to achieve some of their goals. Software engineering leaders should identify the highest value use cases to optimize RPA opportunities.
Beyond RPA: Build Your Hyperautomation Technology Portfolio Hyperautomation involves the disciplined use of relevant automation technologies to automate all business processes that can or should be automated. Software engineering leaders must expand beyond siloed choices like RPA to build a strategic technology portfolio that delivers hyperautomation.
Secure Robotic Process Automation Initiatives With These 4 Essentials Automating tasks with RPA creates security and noncompliance risks for enterprises. To minimize the risk of data leaks and frauds, software engineering leaders must establish a framework around data-driven process knowledge, bot accountability and immutable audit trails for an RPA initiative.