**: Flying Elephant Network.
The increasing degree of digitalization in society has brought opportunities and challenges to all aspects of enterprises, and tax collection and management is no exception.
Different from the traditional tax collection and management method of ticket control tax in the past, the fourth phase of Golden Tax aims at "smart taxation", based on the digitization of invoices, and with the support of tax big data, it will gradually realize the deep integration of tax law enforcement, service, supervision and intelligent application of big data in 2025, and gradually build a normalized and institutionalized data sharing and coordination mechanism between the tax department and relevant departments, steadily promote the construction of tax digitalization, enter a new era of "tax governance by numbers", and reduce the tax compliance cost of taxpayers. Improve the level of tax management.
Based on big data analysis, enterprises need to pay attention to the changes in the tax management model brought about by the fourth phase of the Golden Tax
From passive response to active compliance, enterprises should take the initiative to strengthen risk compliance construction and prevent and control tax-related risks;
From single data to multi-dimensional data, the value of data is more obvious.
From internal management to internal and external repair, enterprises used to pay more attention to their own risk management, and ignored the risks brought by upstream merchants and downstream customers, and now must focus on internal and external risk management;
From local control to comprehensive coverage, in the past, enterprises managed the local risks of the system, but now they need to build a comprehensive tax risk management system to manage the risks of all business scenarios.
From post-inspection to pre-prevention, at this stage, the tax risk management of enterprises is more limited to post-event management, and self-examination and explanation are carried out after the tax bureau notice, which can greatly reduce tax-related costs if it can be prevented in advance.
For enterprises, under the application of tax big data, if they want to achieve long-term and healthy development, they need to build a comprehensive tax risk management system as soon as possible, manage risk decision-making "upward", do compliance management, effectively prevent and control tax risks "downward", provide guidance on business empowerment, and promote corporate compliance management.
Internal prevention risk breeding, external prevention risk transmission.
Under the premise of enterprise authorization, based on invoice data, declaration data and industry big data, Baiwang Cloud adopts a visual multi-dimensional analysis to show the group risk portrait and enterprise risk profile, and conducts associated risk analysis on the upstream and downstream of the group or enterprise through the map, covering the compliance management of multiple scenarios such as output invoicing, input invoicing, tax declaration and chain collaboration. Helping to grasp the overall risk profile and improve the compliance control capabilities of the entire group.
First of all, transaction voucher risk management based on invoice data.
In the invoicing process, the Baiwang cloud system supports automatic invoicing, provides capabilities such as invoice scheme allocation and invoice risk indicator setting, puts the invoicing risk in front, completes the compliance verification, and focuses on supporting the supervision and verification of reverse business, that is, the risk pre-verification of red flush invoices, to ensure the compliance of invoicing.
In the process of using invoices, Baiwang Cloud system provides automatic authenticity inspection of invoices, checks compliance from multiple dimensions such as the name of the purchaser, the blacklist of the enterprise tax bureau, the status of the invoice, and whether it is repeatedly checked, provides early warning of abnormal invoices, monitors the special tickets that are about to expire, reduces tax risks, and can be certified in batches through the accounting cycle, with simple operation, helping enterprises to achieve the integration of industry, finance and taxation.
Second, risk analysis and early warning based on tax declaration data.
The system supports setting up risk scanning schemes according to different tax return dimensions, and completing risk screening before tax declaration, such as the historical tax burden ratio, the correlation between various tax types, and the review of some key tax types. After the completion of the tax declaration, the overall risk management is carried out, the risk situation is comprehensively judged, and the tax declaration risk and related invoice problems are effectively prevented.
Third, risk analysis and early warning based on financial statement data.
The system supports setting up risk scanning schemes according to different financial statement dimensions, comprehensively analyzing financial data and business data, and effectively preventing financial statement risks with balance sheet, cash flow statement, and income statement as the core.
Fourth, risk management of external merchants based on the industrial chain.
Baiwang Cloud can build a comprehensive risk identification system for core enterprises and their upstream and downstream customers, deeply mine procurement data, business performance data and other indicators, and rely on real-time data to establish a dynamic management model, so that enterprises can comprehensively evaluate the best business, reduce the probability of business risks, build a compliant transaction chain, and strengthen enterprise resilience. According to statistics, Baiwang Cloud's customer risk control model warns customer risks in advance, effectively reducing bad debts by 70%-90%, and reducing procurement risk events by 70%-80% with business risk control model and procurement assessment.
Regarding the application of specific scenarios: In the process of business access, Baiwang Cloud has realized from static data evaluation to dynamic quantitative index analysis, used the risk control model to quickly tripartite authentication of the first business, and monitored the performance behavior, identified key risk points, and ensured the compliance of the first business.
In the bidding process, Baiwang Cloud discovers the associated risks between the shortlisted enterprises, between the shortlisted enterprises and the historical first-class businessmen, between the shortlisted enterprises and the subsidiaries through multi-dimensional associations such as equity, invoice transactions, contract performance, blacklist triggering, etc., as well as the risk transmission of risk points between affiliated enterprises, so as to avoid the shortlisting of risky enterprises and reduce the possibility of follow-up risks.
With the advancement of smart taxation, enterprises need to change from the original single-scenario risk response to the current risk prevention of full-business scenarios that combine internal and external data, and build a risk prevention mechanism of "internal and external repair", so as to achieve "internal risk breeding and external risk transmission" to reduce the tax-related costs of enterprises.
Based on the accumulated basic capabilities of digital invoices and documents, Baiwang Cloud provides users with digital and data-driven intelligent solutions and products for finance and taxation, realizing a full closed-loop of digital business from procurement optimization, reconciliation and settlement, electronic invoices, smart finance and taxation to payment and financing, and improving the level of digitalization of enterprise finance and taxation.
Baiwang Cloud also attaches great importance to independent research and development and technology system construction, and through multi-party secure computing, trusted execution environment and other privacy computing technologies, it has built a three-dimensional full-stack protection system covering the national secret security equipment layer, security network layer, blockchain capability platform layer, and secure computing layer, ensuring that panoramic data is available and invisible, helping enterprises optimize risk control strategies, improve the ability to independently monitor, detect and manage risks, and provide customers with security services throughout the life cycle.
It is necessary to improve the construction of digital risk management system as soon as possible, strengthen data analysis, conduct regular tax self-examination, take targeted measures according to risk levels and risk indicators, actively carry out risk management, identify and prevent tax risks in a timely manner, and promote the healthy and high-quality development of enterprises.