How to carry out financial work with high quality?

How to carry out financial work with high quality?

How to carry out high quality financial work? Now the society has been developing continuously, so everyone should improve the quality of their work, so that they can develop better. The following is some information I have compiled for you on how to do a good job in high-quality development of financial work. Let's have a look!

How to carry out high-quality financial work 1 1, the historical development process of financial functions

Judging from the historical process of mankind, financial records have existed since primitive people tied the knot and kept accounts, and later developed into single-entry bookkeeping in China and double-entry bookkeeping abroad. This is the most basic and core function of finance: recording. Any analysis, evaluation and prediction are based on true and accurate records, which is why it is recognized that records are one of the cores of # Finance #.

With the development of society, the scale of enterprises is getting bigger and bigger, and the financial activities of enterprise members are becoming more and more complicated. The accuracy of internal records of enterprises is in doubt, and there are various risks of violation. Therefore, the focus of financial work has changed from recording to control to ensure the authenticity and accuracy of financial records.

Social division of labor is becoming more and more specialized, and the analysis and evaluation of internal and external enterprises is becoming more and more important. It can be said that recording solves the problem of "recording facts", controlling the problem of "fidelity" and analyzing and evaluating the problem of "seeking goodness".

With the rapid development of human technology, the efficiency of social operation is constantly improved, and the asymmetry of information is greatly reduced, which makes the competitive environment of enterprises more and more complicated. Any enterprise requires higher and higher continuity of business activities, so business forecasting has become an important means for enterprises to "seek stability".

To sum up, the connotation of financial work is constantly evolving with the development of society, which has gone through four stages: recording, fidelity, seeking goodness and stability, and has also become an integral part of existing financial functions: recording, controlling, analyzing and forecasting.

2. The support of financial informatization for financial functions

Financial informatization is the vanguard of China's management informatization, and the state put forward the requirements of financial informatization in 1983. Management and operation interact and influence each other. Starting from manual bookkeeping, financial informatization has experienced three stages: financial computerization, financial voucher integration and business financial integration, and achieved leap-forward development. Enterprises gradually manage the results, direction and process, and the financial function provides more, better and faster support for enterprise strategy.

3. Challenges faced by the refinement of financial information

Although China's enterprise financial informatization has made great progress, there is still much room for improvement, such as low efficiency, lax control, poor analysis and inaccurate prediction.

Especially with the development of new technologies such as big data, mobile, blockchain, artificial intelligence and RPA. In the past, information technology in the financial field has been dominated by record management and control business. Now, how to use digital technology to gradually guide the business in the financial field and better enable these digital tools to empower financial management and control has always been the direction that Ernst & Young strives to explore.

How to carry out financial work with high quality? 2 1. Digitalization improves recording efficiency and creates digital "productivity"

Traditional financial personnel mainly undertake the functions of financial data sorting, accounting and analysis. Enterprise employees should also complete expense reporting and process declaration according to the requirements of financial process. Under the background of social digitalization, paper documents are gradually replaced by electronic documents. It is urgent to collect financial information and make digital and intelligent reimbursement of financial accounting, which will further help financial personnel to devote their energy to insight and analysis, make strategic decisions, help other employees focus on their jobs, and develop the thinking of solving problems with digital tools, thus improving the efficiency of financial records and building their own digital "productivity".

Intelligent reimbursement can complete the mobile declaration of reimbursement and the mobile approval of leading reimbursement documents through APP, which is not limited by time and place, greatly improving the efficiency of users filling out reimbursement documents, strengthening the standardization of control and improving user satisfaction. Intelligent collection of reimbursement data, storage and analysis of unstructured data, OCR technology of invoice identification, automatic invoice authenticity inspection, invoice compliance inspection, application of intelligent deduction sorting, and establishment of group-level invoice database can greatly reduce the risk of financial fraud. At the same time, intelligent accounting services provide intelligent financial services such as automatic real-time bookkeeping, bookkeeping, real-time accounting, financial analysis and financial desktop. And with the help of financial robot RPA, intelligent assistant and other automatic intelligent financial processing, we can optimize the workflow for intelligent accounting services, automatically generate vouchers and fill in various conventional government reports.

2. Digitalization can improve the efficiency of management and control, and enterprise "Hawkeye" can prevent problems before they happen.

As we all know, compared with ex post audit, pre-warning and in-process control can help enterprises seize opportunities. The cost difference between putting out a raging fire and putting out the source "flame" is the significance of risk management and control.

Through the online risk control platform, the post-audit of risk management and control is extended to real-time control and risk early warning. Use big data and artificial intelligence technology to provide enterprises with life-cycle risk management products and services. Establish a data model for key risk points in enterprise business development, and input multidimensional data obtained from all parties into the model to obtain risk identification results. By continuously verifying the reverse results and modifying the model, the risk control system can learn the AI machine, thus continuously improving the accuracy of risk identification.

Compared with the traditional simple rule logic judgment, it carries out many types of logic nesting, such as scorecard, model, expression and so on. , which realizes richer logical operations, and integrates self-language processing platform and stream computing platform. To further improve the computing power and timeliness of the risk engine. In this way, high-risk businesses, high-risk customers, high-risk employees, high-risk organizations and high-risk periods are locked in real time, and the standardization of business processes is improved. For example, in banking, risk control systems are used to identify payment/transfer fraud, fraud in marketing activities and measure account risk.

3. Digitalization improves the analysis accuracy, and "Magic Road" data analysis allocates resources reasonably.

With the basic accounting functions in finance being gradually replaced by digital tools such as intelligent reimbursement and financial robots, the ability of multi-perspective, multi-dimensional and multi-level financial analysis is becoming more and more important. It is not only to analyze the financial situation from the financial point of view, but also to have the thinking of combining industry with finance, so as to look at finance from the business point of view and business from the financial point of view, so as to provide relevant suggestions for enterprise managers in risk control and business decision-making.

By establishing the decision support of business finance, we can promote the financial transformation. Finance is based on records and helps to explore high-value products, high-value markets and high-value customers, helping business departments to better coordinate resources and maximize overall value. Use advanced analysis technology to analyze massive data, make predictive judgments according to the results of visual analysis and data mining, and obtain data-driven business insights. Machine learning and artificial intelligence (machine learning &; AI) Quickly and accurately mine the inherent characteristics and laws of data from massive data, make accurate predictions according to the model, and carry out continuous self-optimization. Analyze data in a "magical way", combine them flexibly from multiple angles, discover hidden logical relationships between data, explore market rules, and rationally allocate enterprise resources.

4. Digitization, increase the prediction scenarios, and "preemptive strike" takes the initiative.

Nowadays, the rapid changes in business model, market demand and control environment require financial control not only to keep up, but also to "preempt". Using digital technology to predict scenarios and make decisions has become a magic weapon for enterprises to take the initiative. At the same time, according to the multi-dimensional forecast scenario, the budget model is built to deepen the integration of industry and finance and realize the integration of operation.

Establish a business budget system to help business departments better plan business plans and resources through decision simulation and execution monitoring, so as to realize the integration of long-term plans and short-term plans, business processes and financial results and achieve excellent performance. Set adjustment parameters to make the forecast scenario close to the real scenario, and establish a budget model that can be analyzed from the perspectives of sales, profit, cost and cash flow. At the same time, multi-level budget is set up, granular actuarial calculation is refined after initial calculation, and budget execution is split into business entities to achieve the effect of business-driven budget model and reverse budget guidance.

How do enterprises meet the era of financial digitalization

Riding on the east wind of "new infrastructure", a large number of enterprises will be driven by technological innovation and based on information network, apply more digital and intelligent technologies to their business activities and enjoy policy dividends.

In financial management, digitalization and informatization have the characteristics of mutual promotion and mutual restriction. Enterprises should improve the informatization of financial work on the basis of informatization, and use the platform of combining industry with finance to realize that not only the results can be managed in the system, but also the process can be managed in the system. Only by consolidating the foundation of informatization can we better release the digital potential of enterprises. At the same time, enterprises should use digitalization as a means to improve the efficiency and quality of all kinds of financial work by using existing digital technologies such as big data, artificial intelligence and RPA, so as to make the financial work of enterprises more real, authentic, better and more stable.