Lack of skills and lack of knowledge of the tool used
RPA’s in the 21st century are at their maximum growth potential in corporate industries, they are one of the fastest growing disciplines in the IT market that makes it possible to automate repetitive tasks of users who handle large amounts of information on a daily basis. That is why in the current labor market in Mexico and in the world in general there is a high demand for RPA professionals, but there are very few professionals who are well trained and have the necessary skills to implement projects and make them successful. Therefore, having a well trained team in RPA improves in different areas the development of an automation project, since it extends through several departments, where a lot of expertise and a centralized model is required, with clear responsibilities. The following are the 5 most common errors that occur in automation projects with an immature team, and with very little experience.
- Bad time estimate: this is a very serious error that usually happens, since sometimes not knowing the automation tool and the scope of each process generates a bad time estimate and consequently also a bad cost estimate, this strongly affects the customer as well as the supplier. Not making a good analysis of both the automation tool to be used and the Business Processes, generates a high risk of suffering changes during its execution, these changes are directly related to time and cost.
- Insufficient risk management: not having a trained team can go unnoticed by a thorough risk analysis, this directly affects the projects are not completed on time and with the planned budget. There are different types of risks that need to be managed such as: risks associated with users, risk factors associated with the project leader, factors associated with project execution and risk factors associated with the environment.
- Use technologies or tools not previously explored: when implementing automation projects it is very important that the team is trained and knows the tool to be used. An immature team overestimates the savings from using the new tools or methods which in turn takes time to learn how to use it and use it in the right way. Going through the RPA path in instances of scalability, without knowledge, puts the complete implementation at risk, as well as the risk of extending the time of completion of each process to be automated.
- Adding more personnel to a delayed project: having a deficient team, with weak knowledge in the tool, generates a learning curve and training in the personnel, therefore, the project tends to be delayed and consequently it is necessary to incorporate new talents that have the skills and technical knowledge, that help as a support in the delays and in such a way to balance the advance of the project increasing the cost of the project.
- Scrimp on quality assurance: when there are projects that have immature teams, they spend at least 10% of the development time on testing, in order to meet the established goals and carry out as many automated processes as possible. Estimating this time is a serious error in compliance, since it is not possible to guarantee that the Bot can do everything expected in the right way, even when the functionality to be validated is already well known. The most advisable thing to do is to estimate 30% of the development time, since certain variables that are crucial to ensure the functionality of the Bot may arise.
The globalized world today is growing exponentially, and consequently the IT industry as well, so there is a high demand for well-trained professionals with technical skills to ensure the success of a project. Having a well trained team in the area will be much more efficient when performing their functions, and therefore increase the productivity of the organization. It is essential to take into account the above points when executing an RPA project, choosing elements that have the necessary tools to perform effectively and efficiently in the execution of the project, this includes having certifications of competence and a high specific level in the performance of certain issues related to automation with RPA and also having the necessary knowledge to meet the challenges that the business objective will be raised during the construction process. As you can see, the above are just some important criteria that if you take them into account you can succeed in your project.
For more information please see the following post: 7 things to avoid in an RPA project
