Robotic Process Automation with Automation Anywhere

Navigation aller Website-Bereiche

Automation at work with Robotic Process Automation

Digital bots take care of routine tasks and help your digitization strategy

Robotic Process Automation with Automation Anywhere

Software robots imitate human interaction with an application and work with the usual user interface. This has the advantage that there is no need for any special interfaces. RPA bots can carry out tasks independently without a member of staff needing to get involved. Alternatively, it is possible to delegate certain parts of a task to a bot and use it as a sort of virtual assistant. RPA bots can collect unstructured contents and validate and move data without needing an API interface. This technology makes it possible to automate simple, recurring tasks, so that staff can invest their time in carrying out more important tasks.

Robotic Process Automation can help in three areas

  1. Collecting data: e.g. from websites and unstructured content
  2. Validating data: RPA follows simple business rules to validate structured data
  3. Moving data: no APIs are needed; RPA behaves like a person who enters data; supports desktop or server automation

Comparison of RPA and API integration

Both Robotic Process Automation (RPA) and Automation through APIs (Application Programming Interfaces) have advantages and disadvantages. This table shows an overview of their most important characteristics.

RPA API
Existing applications Code does not have to be adapted. Code might have to be adapted.
Reliability Frontend-oriented: Changes to entry masks etc. can lead to errors. Backend-oriented: functions are carried out with high levels of reliability.
Flexibility Changes to a process can be implemented simply and without much specialist knowledge. Changes to a process can only be implemented with a lot of effort and by specialists.
Performance Generally good as long as only a few processes are automated per entity. Excellent, even when workloads are high.
Costs Low - because little specialist knowledge is required, and implementation can be carried out faster. High - because projects are often very complex and a high level of expertise is required.