Solving the three major problems丨RPA has become the best solution to the current pain points of enterprises

Crack three major problems Shu RPA become the optimal solution to solve current business pain points
of: UB Store
today, in different countries and regions, the benefits of RPA (robotic process automation) are constantly being discovered; and it is also in the process of application in different industries Keep accelerating. Especially in the past two years, RPA has gained the trust of companies and investors worldwide, and the market is hot.
The explosion of RPA highlights the strong demand for business operations. For example, the optimization of cost and efficiency, the search for solutions to the remaining problems of existing systems, and the strategic considerations of automation and artificial intelligence transformation, etc., no company can avoid these problems in corporate operations.
RPA uses automated software as a virtual labor force to interact with existing systems and complete expected tasks according to pre-set procedures. Through RPA software "robots" can capture and simulate our daily human-computer interaction such as keyboard and mouse operations. They can complete tasks such as recognition, triggering, communication, calculation, and text generation, and automatically execute highly repetitive and standardized business processes.

Solving the three major problems丨RPA has become the best solution to the current pain points of enterprises
The dilemma for companies: labor costs and operational efficiency.
Many companies have already carried out large-scale layoffs in order to save operating expenses: In 2019, Siemens' business adjustments will lay off 10,000 people, Oracle China will lay off 900 people, and Deutsche Bank will lay off 18,000 people globally. .
Large-scale layoffs have reduced the staff of some business departments by more than 50%, which will inevitably lead to a shortage of manpower. This will produce a series of reactions, the most obvious of which is the decline in operational efficiency.
Various data show that human resource costs and operational efficiency are important issues that companies must solve urgently, and these two are precisely the areas where RPA (Robot Process Automation) is best.
At present, the emergence of RPA has caused tremendous changes in working methods and positions in various industries. According to a survey report released by IDC, about 36% of the underlying jobs in future work scenarios will be completely replaced by RPA robots, such as data collection, data analysis, and data manipulation.
Therefore, in the future, more and more companies, organizations, and public sectors will incorporate RPA robots into their development strategies, and use standardization and automation to accelerate business process efficiency and improve customer service experience in order to maintain excellent industry competitiveness.

RPA: The optimal solution to solve the pain points of enterprises
RPA can help business managers to make trade-offs from the perspective of practically solving their own problems. It can be said to be the optimal solution for solving many pain points of enterprises.
1. Solve cost and efficiency problems.
In terms of improving efficiency and reducing costs, the attractiveness of RPA to enterprises is self-evident. According to experience, the cost of deploying RPA software robots in a suitable process is much lower than hiring labor, whether it is on-site office or remote assistance.
Compared with humans, robots are tireless, will not stop, and process repetitive tasks with fixed rules very fast, which makes the unit cost of completing tasks significantly optimized. In addition, the robot automation process is more controllable, coherent and accurate, avoiding the trouble caused by accidental human error.
RPA robots can usually be deployed and put into use in a short time (usually a few weeks). Its implementation cost is low and deployment time is short. Companies can quickly evaluate the effectiveness of business process optimization and quickly obtain a return on investment.
2.
The longer the operation of the organization to solve the remaining problems of the system, the more internal IT systems. A wide range of pain points is that the key business of many enterprises and government agencies is supported by some old systems. With the passage of time and business innovation, using these systems for daily work becomes more and more inefficient and laborious.
Managers may be considering overthrowing the old system, but they need to face some more headaches: it is difficult for current technicians to interpret the old technology used in the system; the personnel and documents that formulate the process can not be found, and the systems are coupled and complicated. The transformation is difficult, expensive, and time-consuming; the old system supports the key business and cannot stand the long R&D cycle.
RPA software robots use the way of simulating human employees to complete the interaction and switching between multiple systems. Enterprises do not need to modify the existing IT architecture or redesign the basic process, and the development cycle is very short and the cost is relatively low.
3. Corporate strategic needs
Companies are scrambling to tap the value of next-generation digital technologies. RPA has an important and positive effect on the operation and competitiveness of enterprises. Companies improve efficiency and optimize business processes. After being liberated from tedious and repetitive work, employees can focus on creative and higher-value tasks. Over time, companies can improve the turnover, the working atmosphere will be better, and internal innovation will continue to increase.
RPA is generally considered to be the first step towards artificial intelligence. It is expected to completely improve the way companies work, increase their ability to respond to emerging business trends, and take the lead in the era of artificial intelligence.
RPA proves the value of automation technology, making enterprise personnel more adaptable to work with digital labor, and preparing for the full use of various types of artificial intelligence.

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