Rising cost inflation and rapid growth in the amount of useful data lead many business companies to the question, what RPA helps in optimizing a controller in the basis of division of work through Robotic Process Automation implementation?
After the implementation of RPA, it allows the highly qualified specialists to be free from these time-consuming routine tasks. Especially in controlling, virtual employees (Robot) consider standardized, repetitive tasks.
The use of RPA in controlling
Practically, it shows that the business processes in controlling have barely changed in recent years. So the received data, which needs planning and control, belongs to the tasks of a controller. Many routine tasks can be automated by the usage of RPA.
The primary work of controlling is collection and processing of data, which is being automated by RPA. The collected structured information can be processed according to certain steps of the process, and after automation of the process from different sources can be stored in different systems. E.g.: ERP systems used by many companies. Due to miscellaneous application structures and lacking interfaces, many processes cannot regularly interconnect. Here, the use of software robots provides a genuine added value. Especially as the virtual employee (Robot) always delivers accurate results and shows no signs of exhaust. Controlling allows process automation to improvise data analysis at a faster and better data processing speed. This will result in faster and more informed decisions.
The level of increase in efficiency will also depend on the volume of applications needed to be automated. The consistent documentation of all processes performed by the software robots can guarantee that every application is recorded and is audit-proof.
How can RPA be used in controlling?
The advantages of an RPA project in controlling are absolutely comprehensible. However, this question consistently arises in which particular processes the RPA technology can be used. In the following, we would like to clarify with some examples how Robotic Process Automation (RPA) works in Controlling?
1. The information supply by RPA
Controlling task collects and processes a wide range of data and information, making RPA an ideal assistance for the human controller in the companies. As per a guideline, companies with complex administrational structures also struggle with complex data and information channels. Information and data is being collected from the various field of networks and channels.
Here, information from employees of different systems is collected, processed and later calculated. This process is still a highly manual, error prone and time consuming process. However, it can be optimized with RPA, where structured data and information from different sources is validated, processed, transmitted and stored in different systems according to particular rules. Data questions occur concurrently, reducing costs. Also, the quality of the data increases because manual errors are no longer occurring. As software robot creates a report faster than any human employee.
2. RPA for planning and control
The application scheme is used in RPA for reliving the employees from the repetitive and time consuming task. E.g. a lot of information is needed to create a monthly account statement. These can be obtained from different data sources, so that controller can use many systems. Basically, the often missing interfaces within the in-house ERP system do not allow a consistent workflow. The employees have to collect the data manually, which leads to human error, the quality of the collected data decreases.
Using RPA will avoids this type of problems. The robot addresses the individual systems like a human user and collects the required data. Due to the high process accuracy and the process speed, complex financial records as well as error-prone analytics and other plan costing key figures can be done much faster and more accurately. The monotonous development of key performance signs, for which a large number of Excel evaluations, ERP reports and external information sources must be checked, can be optimized by using software robots.
The implementation of RPA requires only little adjustments to the IT infrastructure and can therefore be accomplished within a very short time. The added advantage enables immediate recognition, as the faster processing and delivery of data & information allows the company to respond quickly to trending market changes in the real-time.
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