In recent years, many forward-looking companies have adopted financial digitization, and in the process of continuously optimizing their business, they have quickly quantified and modeled matching, predicted business feasibility, formed a closed loop of industry-finance integration, and realized optimization and iteration of business models.
01
Industry and Finance Integration
The integration of industry and finance, that is, the integration of industry and finance, mainly refers to the implementation of financial accounting processes, business processes, and management processes in the management software platform, database, and network environment. At the same time, the above processes are integrated and the "event-driven" concept is introduced to implement the system Design, establish an integrated financial information comprehensive processing mechanism based on the business, so that the business implementation effect is better, and the financial data information can be used effectively.
As the foundation of the digital transformation of enterprises, the integration of industry and finance is not only the focus of enterprise informatization construction, but also an important indicator to measure the level of enterprise informatization.
Through the integration of business and finance, business drives continue to drive financial intelligence, making financial responsibilities shift from traditional accounting to strategic empowerment. In addition, the integration of industry and finance also promotes the in-depth development of smart finance, which can improve the speed and quality of corporate finance transformation and upgrading.
02
Difficulties in the integration of industry and finance
In the past, the integration of business and finance was mainly achieved through the ERP system. However, because the ERP system focuses on finance and the final output is mainly financial data, the construction of the integration of industry and finance can easily become a project supported and led by the financial department, ignoring the empowerment of the business.
On the other hand, the current financial data of enterprises has the following problems:
1. The data timeliness is weak. For example, the management can only see the financial data after closing the accounts every month. If the account is settled at the beginning of the following month, the management can only wait until the first ten days of the following month to see the financial situation of the month; less efficient companies may have to wait until the middle. If the data is not timely, the best decision time may be missed.
2. Poor data continuity. The statistical caliber of financial data and business data is inconsistent. For example, in finance and business, whether "income" includes tax is different. Financial recognition of revenue uses the "accrual system", and business is the "receipt and payment realization system."
3. Low data accuracy. As the data receiving department, what kind of data is given by the business, and what the financial result will be. If the data given by the business is wrong, the financial account will also be wrong.
03
RPA empowers corporate finance
The business system, financial system, human resource system, supply chain system, etc. within the enterprise mostly come from different software vendors. It has become a costly and difficult task for taxation personnel to move data in different systems.
The emergence of RPA can well solve the above problems.
RPA robots can replace manual operations with automation according to the characteristics of financial business content and processes, process data across systems and platforms, quickly and not prone to errors, and assist financial personnel in completing a large number of single, repetitive, and cumbersome basic businesses, thereby improving the efficiency and quality of financial processing , To reduce financial compliance risks, facilitate the integration of industry and finance, and meet the business needs of enterprises in their daily operations.
According to the pain points generated in the integration of industry and finance, UB Store has launched an automatic fiscal and tax office solution, including invoice recognition/summary/authentication, accounting voucher/tax report preparation, tax declaration, bank statement download, and bank receipt batch recognition And other series of robots, targeted to solve the key pain points of taxation personnel, easy work, efficient and worry-free.
Automatic downloading robot for bank statement
Log in to the bank automatically and download daily bank statements. It supports mainstream domestic banks such as Ping An Bank, China Merchants Bank, Bank of China, Construction Bank, and Industrial and Commercial Bank. It is used with UiBot KeyBox, which is more secure and stable.
SAP financial internal reconciliation robot
The robot is used for reconciliation between group companies that use SAP software, and is specifically used in the process of comparing and discrepancies between internal receivables and internal payable balances.
Invoice details and automatic migration of robots across systems at regular intervals
The robot can automatically export the invoiced details every day and migrate it to the invoice management system or ERP for relevant personnel to download and use on demand.
UB Store financial RPA solution is dedicated to reducing costs, improving efficiency and optimizing processes for enterprises. Through tailor-made affordable and high-quality RPA+AI solutions, all aspects of transactions are guaranteed, so that customers can truly experience "convenient, safe, and professional" cost-effective transactions, so that more corporate financial personnel can enjoy RPA robots, Dividends from process automation.