Published: 14 November 2022
RPA invites new types of processes and users to automate through software. I&O technical professionals supporting RPA adoption must develop and adapt skills to ensure automations maximize return, reliability and compliance. Use this research to define skills and map roles to deliver your RPA goals.
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Regardless of whether business or IT is driving adoption, robotic process automation (RPA) is software development and will require governance throughout the life cycle to deliver and maintain the solution.
The RPA developer persona drives team composition. Experienced developers might require operational support, whereas citizen developers might need support throughout the life cycle.
The adoption of multiple automation platforms requires governance to ensure that the optimal tool is used. Relying on developer preference or convenience will quickly accumulate technical debt.
Successful RPA teams have clear ownership of RPA scripts in production and have the right skills and roles in place to
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- Basic RPA Development
- Advanced RPA Development
- Document and Unstructured Data Processing
- Software Life Cycle Management
- Platform Operation
- Troubleshooting and Debugging
- RPA Testing
- Automation Architecture
- API Integration
- Other Development Languages
- Enterprise Applications
- Process and Task Mining
- Machine Learning and Artificial Intelligence
- Reporting and Dashboarding