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information control system

2021-03-26 来源: 51Due教员组 类别: Essay范文

51Due教员组给各位留学生带来一篇会计essay代写范文,摘要:机器人流程自动化(RPA)等现代技术可以帮助会计师从头到尾完成整个会计流程。 此外,RPA还可以帮助会计师减少人为错误并提高透明度。 RPA可以减少手动错误的原因是它可以自动执行操作。 RPA捕获信息,处理结果和准备报告的过程都是完美无缺的。希望可以帮助到各位找会计代写代考的留学生。

Modern technologies such as Robot Process Automation (RPA) can help accountants finish the whole accounting process, from beginning to finishing. In addition, RPA can also help accountants reduce human error and improve transparency. The reason why RPA can reduce manual error is it does things automatically. The process of RPA catching information, processing results and preparing reports are all flawlessly.

Before the advent of financial robots, the advancement of financial work processes was achieved through manual operations by financial staff or automation of information systems. In the manual operation scenario, the work efficiency is low, the error rate is high, and the personnel occupation efficiency is low. RPA robots do three things to improve financial reporting: reduce costs, improve quality, and improve operational control (Valgaeren, 2019).

Through the application of robotic process automation (RPA), artificial intelligence (AI), and data analysis technologies, the financial accounting department can effectively improve cost-effectiveness, tap the full value of digital investment, and realize digital financial transformation.

Generally, financial accounting teams must have access to high-quality data to transform the value they deliver. The application of robotic process automation technology can improve the accuracy and quality of data; through programming, “robots” can follow the rules, have the ability to verify data, and do not make mistakes like humans. This helps reduce data inaccuracies and quality risks and improve transparency of financial reporting. However, because the software is programmable, incorrect programming instructions can lead to very serious consequences, so testing before the official operation is critical.

In terms of applying robotic process automation, a number of leaders have clearly emerged, especially in the financial settlement process. In the financial settlement process, there are often a dozen or even hundreds of small tasks that need to be performed, and each task is intertwined and inseparable. Only one task can be completed before the next. On the other hand, accountants face a huge and tedious workload on the issue of invoices, and it takes a long time to review to prevent the occurrence of operational errors.

Based on the Robotics Process Automation system of the intelligent sharing center, companies can automate and botch the most boring tasks of traditional financial sharing centers, restructure and reduce a large number of financial processes.

RPA can enhance the transparency of financial reporting by improving companiesinternal control and quality of governance. Specifically, RPA can track actions of each bot, access and output. Then it stores the information in a centralized database. By tracking actions, RPA allows managers and accountants to be aware of questionable accounting data and helps managers analysis transactions.

Financial accountants can also improve transparency of financial reporting by applying artificial intelligence to compliance audits and regulatory reporting. Artificial intelligence provides machines with the ability to sense, understand, act, and learn, and thus helps companies strictly comply with relevant regulations such as International Financial Reporting Standards (IFRS) No. 15. Many companies spend a lot of manpower to analyze business contracts to determine the scope and timing of applicable revenue recognition. AI solutions can free a lot of manpower from this tedious work, and greatly improve the accuracy of income accounting.

In summary, the technical characteristics of RPA are completely consistent with the construction goals of the financial sharing system, and the technical integration between the two is almost an inevitable choice for the digital construction of corporate financial management. RPA has also become one of the most likely systems for future financial reporting.

The future of financial reporting is information, automation, digitization and intelligence. In the future, accountants will have higher requirements for financial reporting software. First of all, future financial reporting software should be easy to use. This is reflected in the fact that software must be easy to learn and easy to operate. Second, future financial reporting software needs to make financial statements easy to understand. For most ordinary users, the current financial statements are too complicated and it is difficult for people without financial background to obtain the information they really need. Third, future financial reporting software can better help accountants reduce their workload and allow them to better focus on more valuable things (Performancecanvas.com, 2019). These requirements make RPA one of the best choices for future financial reporting software. In financial sharing service centers with clear professional division of labor and unified process standards, RPA has broad application space.


In order to qualify as a RPA, a system must deploy bots into third-party application, allow users to build workflows, and automate tasks for employees.  Since IBM, Microsoft, Google, Oracle, SAP and other famous manufacturers have preferentially integrated RPA in BPM solutions, a large number of cloud computing, SaaS, enterprise service software, artificial intelligence, system integration manufacturers have followed up. As a result, RPA technology vendors such as Uipath, BluePrism, and Automation Anywhere (AA) have become the focus of contemporary business process automation, digitization and intelligence, and RPA is also becoming one of the mainstream business automation solutions (myTectra, 2019). Globally speaking, RPA suppliers in the United States and Europe mainly include BluePrism (BP), Automation Anywhere (AA), UIPath, and they have already occupied a certain market share.

In the future, RPA systems may incorporate AI technology to meet requirements of financial reporting. RPA originally belongs to the category of AI. When the technology is mature enough, in order to meet more complex financial reporting scenarios, AI technology will naturally be applied. RPA has become an important carrier of AI technology. Starting in 2020, RPA will integrate more intelligent technologies such as artificial intelligence, machine learning, and cognitive computing to optimize more complex financial reporting processes. The RPA and AI model will become the norm for RPA products. With the comprehensive role of intelligent technology, the potential of RPA automation will be greatly developed.

RPA is obviously well-suited for handling automated, simple tasks. But when business processes are more complex or two or more robots need to be scheduled comprehensively, artificial intelligence (AI) capabilities can take automation to the next level.

Artificial intelligence technology is a computer system or "machine" to simulate the intelligent behavior of humans, including learning (contextual rules for obtaining information and the use of information), reasoning (using context and rules to draw conclusions), self-correction (from success and Learn from failure). Successful applications in the AI field include: image recognition, machine vision, speech recognition, natural language generation, and sentiment analysis.

Although RPA achieves a certain degree of human-machine collaboration by automating the execution of repetitive business processes (that is, some people participate in automation), artificial intelligence is considered to be a potential technology that can completely replace human labor and achieve end-to-end automation. RPA requires structured inputs and logic, while AI can use unstructured inputs and develop its own logic. Combining RPA and AI creates a fully automated process that solves more complex problems (Minogue, 2019).

However, because RPA itself is designed to deal with highly repetitive problems, its purpose is to improve company office efficiency and reduce employment costs. Therefore, whether RPA can solve complex financial problems in the future has not been concluded.

On the other hand, although RPA itself is not sure that it can solve complex financial problems on its own, RPA can reduce the risks and inefficiencies caused by manual processes, release financial supervisors with overwork and overcapacity, and improve team morale. Perform simple, repetitive tasks by replacing humans. Therefore, RPA can become a power booster for financial management teams. When RPA solves highly repetitive financial problems, accountants can be freed from these extremely time-consuming tasks and have never focused on solving complex accounting problems (Minogue, 2019).




myTectra. (2019, July 4). TOP 10 Most Popular RPA Tools Of 2019. Retrieved March 31, 2020, from https://medium.com/datadriveninvestor/top-10-most-popular-rpa-tools-of-2019-8b022252de1


The future of financial reporting technology. (2019, June 3). Retrieved March 31, 2020, from https://www.performancecanvas.com/financial-reporting-technology/


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