" RPA is a fundamental movement that enables companies to trigger their digital transformation through short projects with a rapid ROI." This is the analysis agreed upon by IT specialists (Gartner, Forrester and HfS) as well as major consulting firms (Capgemini, Deloitte, EY, McKinsey).
The goal of RPA (Robotic Process Automation) is to reduce the time users spend on tedious tasks (re-entering/copying and pasting, comparing/verifying information between two applications) by simply assigning these tasks to robots in an automated way. On average,
15 to 30% of their time thanks to RPA, allowing them to focus on higher-value tasks, both for the company and for their personal development.
In this case, the robot acts as a user assistant, respecting the business logic.
The robot performs tasks on behalf of the user (reading the content of an application window, identifying fields containing relevant data, copying them to another window, initiating a transaction) and then pauses its process to prompt the user to make a decision that requires experience. Once the user selects an option, the automated process resumes.
An RDA project is very quick to implement because the automation occurs at the workstation level, not on application data; the return on investment is relatively short (just a few months for a solution that provides users with a gain of around 20%) and beneficial in the long term.
In this case, the robot intervenes directly at the server level, without human interaction. It automatically performs all tasks (extracting files, checking data, creating new data, converting it according to the requirements of each application within the information system, etc.).
It is important that these tasks be monitored by another robot to verify their proper execution and alert a user in case of a problem; the user can then take control to understand the cause and restart the process once the issue is resolved.
RPA projects are longer than RDA projects because they work with application data, which requires preparation, programming, and extensive testing before deployment.
