How quickly can RPA be implemented
The 10 Biggest Challenges in RPA Implementation
4. Choosing the right processes
One of the biggest challenges in automation is choosing the right processes. Those involved often prefer particularly complex processes for the implementation of an RPA. In the first step, however, the focus should be on repetitive mass processes. These are often characterized by a high degree of standardization and a high level of benefit. In addition, a professional process analysis should always take place before the decision to automate the process. The particularities and special cases of a process must be clearly defined in order to get an idea of the efficiency that can be achieved. Only processes that promise high efficiency after automation are suitable for software-based automation.
5. Choosing the right software
Choosing the right RPA software is also a challenge for those involved. Many companies simply rely on the wrong software. This can mainly be attributed to insufficient know-how and inadequate advice. Even if the decision-makers already have experience with robotic process automation, process knowledge should also be taken into account in the final decision. As soon as the decision in favor of special RPA software has been made, it must also be implemented. Additional challenges usually arise during implementation. In addition to the technical compatibility with the existing systems, the cost aspect must also be taken into account. The more RPAs are planned, the more licenses the project needs. Accordingly, the software should be selected, approved and implemented before development begins.
6. Correctly assess infrastructure requirements
The IT infrastructure necessary for the successful use and operation of RPA is one of the most neglected topics during the Proof of Concept (PoC). When using RPA, there are a number of requirements that must be met for the successful operation of a software robot. In general, the infrastructure should not be built retrospectively, but should begin while working on the PoC. When implementing RPA, it is advantageous to install an infrastructure team that helps to accelerate the sometimes complex and time-consuming implementation process and the provision of functions and processes.
First of all, it must be checked whether there are enough licenses for the RPA solution to work or to develop and test in several environments. Since many companies rely on virtual machines and cloud applications, the second step is to evaluate whether the RPA solution supports a virtual environment and whether the functionality of applications and RPA tools is impaired by different security guidelines.
In general, RPA implementation should be treated like any other software development. This means that environments with different environment names, server / workstation names and access control must be set up. The first thing to do is to set up a development database. Since the developer desktops connect to the application, at least one runtime resource and an interactive control (IC) should be connected to the application server. Of course, this also applies to the test environment. However, more than one runtime resource is required to test the multi-bot step and queue processing. All development should only take place in the development environment and the code should be transferred to the test environment. Of course, a production database should not be missing either. The setup of the runtime resources should correspond to the production environment. This helps with testing and reduces troubleshooting in higher environments.
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