Enterprise data resource compliance right determination method and related device

Abstract

The invention discloses an enterprise data resource compliance right determination determination method and a related device, and the method comprises the steps: receiving a first right determination request initiated by an enterprise management system, the first right determination request being used for requesting right determination determination of target data of a target enterprise; obtaining enterprise basic information of the target enterprise; performing right determination judgment on the target data according to a preset right determination evaluation dimension set and the enterprise basic information to obtain a target judgment result; the target judgment result comprises that the target data can carry out data right confirmation work or the target data cannot carry out data right confirmation work; when the target judgment result includes that the target data can carry out data right confirmation work, generating a right confirmation judgment report based on the enterprise basic information, the target data and the target judgment result; and sending the right confirmation judgment report to an enterprise management system. By adopting the embodiment of the invention, the function of judging whether the data can be subjected to data right confirmation or not is realized.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of data processing, and in particular to a method for determining compliance of enterprise data resources and related devices. BACKGROUND

[0002] With the vigorous development of big data and artificial intelligence, data has become a hot economic treasure. According to research institutions, the global data generated each year will increase from 33ZB in 2018 to 175ZB in 2025, equivalent to 1.1 trillion GB. Among them, personal behavior data and interpersonal interaction data involve privacy and personal information protection; interactive data between enterprises involves competition or business secrets; and the data generated by the cross interaction between people, things and organizations may involve personal privacy and business secrets.

[0003] This raises a common problem. When privacy becomes data and data becomes assets, how to determine whether data can be data righted becomes a problem to be solved. SUMMARY

[0004] The embodiments of the present application provide a method for determining compliance of enterprise data resources and related devices, which realizes the function of determining whether data can be data righted.

[0005] In a first aspect, the embodiments of the present application provide a method for determining compliance of enterprise data resources, applied to an electronic device, the electronic device being connected with an enterprise management system of a target enterprise, and the method comprising:

[0006] receiving a first righting request initiated by the enterprise management system, wherein the first righting request is used to request righting determination of target data of the target enterprise;

[0007] obtaining enterprise basic information of the target enterprise;

[0008] performing righting determination on the target data according to a preset righting evaluation dimension set and the enterprise basic information, to obtain a target determination result; the target determination result includes that the target data can develop data righting work or the target data cannot develop data righting work;

[0009] when the target determination result includes that the target data can develop data righting work, generating a righting determination report based on the enterprise basic information, the target data and the target determination result;

[0010] sending the righting determination report to the enterprise management system.

[0011] In a second aspect, an embodiment of the present application provides a device for determining compliance of enterprise data resources, applied to an electronic device, the electronic device being connected to an enterprise management system of a target enterprise, and the device comprising: a transceiver, an acquisition unit, and a determination unit, wherein:

[0012] The transceiver is configured to receive a first request for determining compliance initiated by the enterprise management system, wherein the first request for determining compliance is used to request determining compliance of target data of the target enterprise.

[0013] The acquisition unit is configured to acquire enterprise basic information of the target enterprise.

[0014] The determination unit is configured to determine compliance of the target data according to a preset set of dimensions for determining compliance and the enterprise basic information, to obtain a target determination result, wherein the target determination result comprises that the target data can perform data compliance work or the target data cannot perform data compliance work, and when the target determination result comprises that the target data can perform data compliance work, a report for determining compliance is generated based on the enterprise basic information, the target data, and the target determination result.

[0015] The transceiver is further configured to send the report for determining compliance to the enterprise management system.

[0016] In a third aspect, an embodiment of the present application provides an electronic device, comprising: a processor, a memory, a communication interface, and one or more programs, wherein the one or more programs are stored in the memory and configured to be executed by the processor, and the programs comprise instructions for performing steps in the first aspect of the embodiments of the present application.

[0017] In a fourth aspect, an embodiment of the present application provides a computer readable storage medium, wherein the computer readable storage medium stores a computer program for electronic data exchange, and the computer program causes a computer to perform some or all of the steps described in the first aspect of the embodiments of the present application.

[0018] In a fifth aspect, an embodiment of the present application provides a computer program product, comprising a non-transitory computer readable storage medium storing a computer program, and the computer program is operable to cause a computer to perform some or all of the steps described in the first aspect of the embodiments of the present application. The computer program product can be a software installation package.

[0019] The present application has the following advantages:

[0020] It can be seen that the method for determining compliance with ownership confirmation of enterprise data resources described in this application first obtains the basic enterprise data of the target enterprise, and then based on a preset set of ownership confirmation evaluation dimensions, combines the basic enterprise information to comprehensively analyze the compliance and ownership feasibility of the target data in various dimensions, and draws a conclusion on whether ownership confirmation can be achieved through quantitative or qualitative evaluation, thereby realizing the function of determining whether data ownership confirmation can be carried out. BRIEF DESCRIPTION OF THE DRAWINGS

[0021] In order to more clearly illustrate the technical solutions in the embodiments of the present application or the background technology, the drawings required for use in the embodiments of the present application or the background technology will be described below.

[0022] Figure 1 This is a schematic structural diagram of an electronic device provided in an embodiment of the present application;

[0023] Figure 2 This is a schematic diagram of an application scenario of an electronic device provided in an embodiment of the present application;

[0024] Figure 3 This is a flowchart of a method for determining compliance with enterprise data resource rights confirmation provided by an embodiment of the present application;

[0025] Figure 4 This is a flow chart of a method for obtaining basic enterprise information provided by an embodiment of the present application;

[0026] Figure 5 This is a schematic diagram of a preset ownership confirmation evaluation dimension set provided in an embodiment of the present application;

[0027] Figure 6 This is a flowchart of a method for determining a target compliance score provided in an embodiment of the present application;

[0028] Figure 7 This is a block diagram of the functional units of a device for determining compliance with enterprise data resource rights provided by an embodiment of the present application;

[0029] Figure 8 It is a structural diagram of another electronic device provided in an embodiment of the present application. DETAILED DESCRIPTION

[0030] In order to enable those skilled in the art to better understand the present invention, the following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of this application.

[0031] The terms "first", "second", and the like in the description and in the claims of the present application and above-described drawings are used to distinguish different objects, and are not used to describe a particular order. In addition, the terms "include" and "have" and any variations thereof are intended to cover non-exclusive inclusion. For example, a process, method, system, product, or device including a series of steps or units is not limited to the listed steps or units, but can optionally include steps or units not listed, or can optionally include other steps or units inherent to the process, method, product, or device.

[0032] It should be understood that the term "and / or" herein is only a description of the association relationship of the associated objects, which means that there can be three relationships, for example, A and / or B can mean that A exists alone, A and B exist together, and B exists alone. In addition, the character " / " in this paper represents that the front and rear associated objects are a "or" relationship. "Multiple" in the embodiments of the present application means two or more.

[0033] The "at least one" or similar expressions in the embodiments of the present application mean any combination of the items, including any combination of single item or multiple items, means one or more, and multiple means two or more. For example, at least one of a, b or c can represent the following seven cases: a, b, c, a and b, a and c, b and c, a, b and c. Wherein, each of a, b and c can be an element or a set containing one or more elements.

[0034] The "connection" appearing in the embodiments of the present application means direct connection or indirect connection and various connection modes to realize communication between devices, which is not limited in the embodiments of the present application.

[0035] In this paper, "embodiment" means that the specific features, structures or characteristics described in conjunction with the embodiment can be included in at least one embodiment of the present application. The phrase appears at various places in the specification does not necessarily refer to the same embodiment, nor is it an independent or alternative embodiment to other embodiments. The skilled person in the art explicitly and implicitly understands that the embodiments described herein can be combined with other embodiments.

[0036] The electronic device described in the embodiments of the present application can include a smart phone (such as an Android phone, an iOS phone, a Windows Phone phone, etc.), a tablet computer, a palm computer, a notebook computer, a video matrix, a monitoring platform, a mobile internet device (MID) or a wearable device, etc. The above are only examples, not exhaustive, including but not limited to the above devices.

[0037] Of course, the above-mentioned electronic device can also be a server, for example, a cloud server.

[0038] The related content, concepts, meanings, technical problems, technical solutions, and beneficial effects involved in the embodiments of the present application are described below.

[0039] First, some professional terms involved in the present application are explained:

[0040] Data right confirmation: refers to the process of determining the ownership, use right, and income right of data. As a tradable commodity, data right confirmation is the prerequisite for transaction. Only when the data right ownership is clear can the relevant subject legally trade and realize value in the data exchange. For example, it is clear that a medical research institution has legal rights to the case data it collects, which can guarantee its subsequent application and transaction.

[0041] Data right confirmation determination: refers to the process of determining whether data can be subjected to data right confirmation through a systematic evaluation process and standard, that is, the process of determining whether data can be legally established as property.

[0042] Please refer to Figure 1 , Figure 1 is a structural schematic diagram of an electronic device provided by the embodiments of the present application. It can be known that the electronic device can include a communication module, a right confirmation determination module, and the like, which are not limited here, wherein:

[0043] The communication module is responsible for establishing a connection with the enterprise management system of the target enterprise and realizing bidirectional data transmission. For example, it receives the right confirmation request initiated by the enterprise management system, sends the generated right confirmation determination report to the enterprise management system, and the like; in addition, the communication module can also ensure real-time information exchange between the electronic device and the enterprise management system, guarantee the continuity of the determination process and the accuracy of the data, and realize real-time information synchronization.

[0044] The right confirmation determination module is used for integrating enterprise basic information and target data, performing compliance analysis based on a preset right confirmation evaluation dimension set (such as data source, content, processing, and the like), determining whether the target data meets the right confirmation condition, and outputting a target determination result of “confirmable” or “unconfirmable”.

[0045] In this way, the communication module solves the connection and data flow problem of the electronic device and the enterprise system, and the right confirmation determination module realizes the determination function of data right ownership through rule execution and multi-dimensional evaluation, and the two cooperate to constitute a complete closed loop from demand reception to result output.

[0046] Please refer to Figure 2 , Figure 2An application scenario of an electronic device is provided in the embodiment of the present application. As can be seen, the electronic device can communicate with the enterprise management system of the target enterprise in a bidirectional manner. When the target enterprise needs to make a right determination, the enterprise management system can be operated to send a control instruction to the electronic device. The control instruction can control the electronic device to execute the method for making a right determination of enterprise data resources provided in the embodiment of the present application. The specific steps are as follows:

[0047] receiving a first right determination request initiated by the enterprise management system, wherein the first right determination request is used to request a right determination of target data of the target enterprise;

[0048] obtaining enterprise basic information of the target enterprise;

[0049] making a right determination of the target data according to a preset right determination evaluation dimension set and the enterprise basic information, to obtain a target determination result; the target determination result includes that the target data can develop a data right determination work or the target data cannot develop a data right determination work;

[0050] when the target determination result includes that the target data can develop a data right determination work, generating a right determination report based on the enterprise basic information, the target data and the target determination result;

[0051] sending the right determination report to the enterprise management system.

[0052] Please refer to Figure 3 , Figure 3 A flowchart of a method for making a right determination of enterprise data resources is provided in the embodiment of the present application. The method is applied to an electronic device, the electronic device is connected with an enterprise management system of a target enterprise, and includes but is not limited to the following steps:

[0053] S301, receiving a first right determination request initiated by the enterprise management system, wherein the first right determination request is used to request a right determination of target data of the target enterprise.

[0054] In the embodiments of the present application, the electronic device and the enterprise management system can establish a stable connection through a network protocol (such as HTTP, API interface, etc.), to ensure that the data transmission channel is unobstructed; when the target enterprise needs to perform data right confirmation, the enterprise management system can send a first right confirmation request to the enterprise management system, then the electronic device can receive the first right confirmation request and verify the first right confirmation request, for example, verifying the identity authentication (key, permission token) of the enterprise management system to prevent illegal requests, verifying whether the request format conforms to the interface specification (such as whether the required fields are missing), verifying whether the target data belongs to the service range of the electronic device (such as whether the data sensitivity level is out of limit), etc., if the verification is passed, it is determined that the first right confirmation request is passed, and the electronic device performs right confirmation determination on the target data of the target enterprise according to the first right confirmation request.

[0055] If the verification fails, the electronic device can send a verification failure message to the enterprise management system to notify the enterprise management system to reinitiate the request.

[0056] S302, obtain the enterprise basic information of the target enterprise.

[0057] In the embodiments of the present application, the enterprise basic information can include at least one of the following: enterprise name, enterprise registration information, enterprise type, subject compliance qualification (such as business license, Internet information service license, etc.), and the like, which are not limited here.

[0058] In specific embodiments, the electronic device can obtain the authorization of the target enterprise, after obtaining the authorization, the enterprise database of the enterprise management system can be accessed to obtain the enterprise basic information from the enterprise database, or the electronic device can send a preset basic information collection table to the enterprise management system, and the staff of the enterprise management system fills in the basic information collection table, thereby obtaining the enterprise basic information.

[0059] Optionally, please refer to Figure 4 , Figure 4 is a flowchart of an enterprise basic information acquisition method provided by the embodiments of the present application, step S302, the enterprise basic information of the target enterprise is obtained, which can include the steps shown in Figure 4

[0060] S21, send a basic information collection table to the enterprise management system;

[0061] S22, receive the filling information of the target enterprise for the basic information collection table to obtain target filling information;

[0062] S23, obtain the enterprise public information of the target enterprise;

[0063] ​S24, compare the enterprise public information with the target filling information to obtain suspicious information;

[0064] S25, send the suspicious information to the target enterprise, notify the target enterprise to confirm the suspicious information, and obtain confirmation information;

[0065] S26, determine the enterprise basic information according to the confirmation information and the target filling information.

[0066] In the embodiment of the application, the basic information collection table can be preset or default.

[0067] In specific embodiments, the electronic device can send the basic information collection table to the enterprise management system. For example, assuming that the electronic device and the enterprise management system are connected through the Internet, the electronic device can send the Excel format basic information collection table to the enterprise management system through the Internet. Then, the target filling information can be obtained by receiving the filling information of the target enterprise for the basic information collection table. Specifically, after receiving the basic information collection table, the enterprise management system can be filled by the staff of the enterprise management system according to the basic information collection table, and the filled basic information collection table can be sent back to the electronic device, so as to obtain the target filling information.

[0068] Then, the enterprise public information of the target enterprise can be obtained. Specifically, the enterprise information public platform (for example, the local industrial and commercial department platform) can be accessed to query the information of the target enterprise from the enterprise information public platform to obtain the first public information. In addition, the official website of the target enterprise can be accessed to query the information of the target enterprise from the official website of the target enterprise to obtain the second public information. Then, the first public information and the second public information can be sorted and de-duplicated to obtain the enterprise public information. Then, the enterprise public information can be compared with the target filling information to obtain suspicious information. Specifically, the public information and the target filling information can be classified according to business dimensions, such as subject qualification (such as enterprise name, unified social credit code, etc.), operating information (such as business scope, registered address, etc.), etc. without limitation. Then, the field mapping relationship can be established, for example, the "unified social credit code" is associated with the "industrial and commercial registration number" (old version) to ensure that the fields of different data sources can be corresponding (such as matching 18-bit code format through regular expression). Then, the same fields in the public information and the target filling information can be compared according to the field mapping relationship to find out the different information between them, so as to obtain the suspicious information. For example, if the enterprise name field in the public information is "xx Co. Ltd.", and the enterprise name field in the target filling information is "xx Technology Co. Ltd.", the enterprise name field in the two is marked as suspicious information.

[0069] Further, the suspicious information can be sorted into a table form to obtain a suspicious information table, the suspicious information table can include "field name", "public data", "filled data", "difference description", "suggested supporting materials" (such as business change proof, business license copy), and additional filling guide (such as "please re-upload the business license after checking the code"); then, the suspicious information table can be sent to the target enterprise to inform the target enterprise to confirm the suspicious information to obtain confirmation information, for example, the confirmation information can be obtained by manual confirmation of the staff of the target enterprise, and the confirmation method of the suspicious information can be the following three kinds:

[0070] Direct modification: for the filled field with errors (such as address typos), the original basic information collection table can be edited and submitted again, and the system automatically compares the modified information with the public data;

[0071] Upload supporting materials: for the "public information lag" type suspicious information (such as having completed business change but the public information has not been updated), upload the change registration notice PDF and perform manual review;

[0072] Case description: for non-principle differences (such as different expressions of business scope), submit a written description (such as "simplified expression according to industry habit during filling, actually consistent with business registration") and the system records the case for record.

[0073] Finally, the confirmation information and the target filling information can be sorted and de-duplicated to obtain the enterprise basic information.

[0074] In this way, through the cross comparison of public information (such as business publicity, credit platform data) and enterprise self-filled information, problems such as "subjective fraud" (such as fictitious registered capital) or "objective lag" (such as address change not updated in time) can be identified, so as to eliminate information asymmetry, reduce data distortion risk, and further improve the credibility of enterprise basic information.

[0075] S303, according to the preset right evaluation dimension set and the enterprise basic information, the target data is right judged, and the target judgment result is obtained; the target judgment result includes: the target data can develop data right work or the target data cannot develop data right work.

[0076] In the embodiment of the application, the electronic device can analyze whether the target data can develop data right work according to the preset right evaluation dimension set and the enterprise basic information, so as to obtain the target judgment result.

[0077] Optionally, step S303, according to the preset right evaluation dimension set and the enterprise basic information, the target data is right judged, and the target judgment result is obtained, which can include the following steps:

[0078] A1, determining an enterprise business scope according to the enterprise basic information;

[0079] A2, determining a target data range that can be collected by the target enterprise according to the enterprise business scope, to obtain a target data range;

[0080] A3, when the target data is not in the target data range, determining that the target determination result includes that the target data cannot carry out data right confirmation work;

[0081] A4, when the target data is in the target data range, performing full-link tracing on the source, processing, storage and use of the target data to obtain target trace data;

[0082] A5, performing compliance evaluation on the target trace data according to the preset right evaluation dimension set to obtain a target compliance score;

[0083] A6, if the target compliance score is less than a preset compliance score, determining that the target determination result includes that the target data cannot carry out data right confirmation work;

[0084] A7, if the target compliance score is not less than the preset compliance score, determining that the target determination result includes that the target data can carry out data right confirmation work.

[0085] In the embodiments of the application, the preset compliance score can be preset or defaulted in advance.

[0086] In specific embodiments, the enterprise business scope can be determined according to the enterprise basic information. Specifically, the business registration information (for example, the business registration number) can be obtained from the enterprise basic information, and the business scope of the target enterprise can be determined according to the business registration information, that is, the enterprise business scope. Then, the data range that can be collected by the target enterprise in compliance can be determined according to the enterprise business scope, to obtain a target data range. Specifically, the enterprise business scope can be disassembled to obtain at least one business type. For example, if the enterprise business scope includes “human resource service”, it needs to be further clarified whether it is a “professional intermediary activity” business type or a “labor dispatch service” business type. Different categories correspond to different data collection permissions. Then, according to the at least one business type, the data types required for normal operation can be sorted to obtain at least one data type, that is, the target data range.

[0087] To facilitate understanding, let's take two examples to illustrate. For example, the "career agency activities" business type mainly provides intermediary services for job seekers and employers to recruit, such as job information release, resume matching, interview arrangement, etc. For this purpose, it is necessary to collect non-sensitive information such as the job seekers' identity information, educational background, work experience, job search intentions, etc., with non-sensitive personal professional information as the main focus; for another example, taking the "labor dispatch service" business type as an example, it dispatches workers to employing units, and they are under the command and management of the employing units, and the labor dispatch unit establishes a labor relationship with the workers. For this purpose, it is necessary to collect sensitive information such as the job seekers' identity information, bank account information, social security information, etc.

[0088] When the target data is not within the target data range, it means that there are violations in the target data collection process and data rights confirmation cannot be carried out. In other words, the target judgment result is that the target data cannot carry out data rights confirmation work.

[0089] When the target data is within the target data range, it means that there is no violation in the collection process of the target data, and data rights can be confirmed. Therefore, it is necessary to trace the source, processing, storage and use of the target data throughout the entire chain to obtain the target traceability data. Specifically, you can first clarify the collection source of the target data, record the specific channels of the data source (such as sensors, third-party platforms, internal systems, etc.), and mark the physical location or network address of the data source (such as API interface link, database table name), so as to obtain the collected record data. For example, "user behavior data is collected through the embedding SDK (Software Development Kit, software development kit), the source is the APP end (package name: com.xxxx.app), and the collection time range is: 2023-02-2200:00~12:00", then, you can obtain the target enterprise's processing operations on the target data, and record them in the order of processing to obtain processing record data. Similarly, you can also obtain the target enterprise's storage record data and usage record data of the target data. Based on these record data, you can obtain traceability data.

[0090] Furthermore, the target traceability data can be subjected to compliance assessment based on the preset ownership assessment dimension set to obtain a target compliance score. If the target compliance score is less than the preset compliance score, it indicates that there are violations in the target traceability data, and the target judgment result can be determined as the target data cannot be used for data ownership confirmation.

[0091] If the target compliance score is not less than the preset compliance score, it means that there are no violations or very few violations in the target traceability data. Then the target judgment result can be determined that the target data is capable of carrying out data rights confirmation work.

[0092] In this way, by layer-by-layer defining from enterprise basic information to business scope, and then to data collection scope, a compliance logic chain of "subject qualification-business boundary-data authority" is formed to ensure data collection method. In addition, by tracing data source, processing, storage and use, combined with compliance scoring mechanism, full-process risk screening from "admission" to "use" is realized to avoid compliance loopholes in data right confirmation.

[0093] Optionally, please refer to Figure 5 , Figure 5 is a schematic diagram of a preset right confirmation evaluation dimension set provided by an embodiment of the present application, which shows that the preset right confirmation evaluation dimension set includes: data source dimension, data content dimension, data processing dimension, data management dimension, and data operation dimension. Then, please refer to Figure 6 , Figure 6 is a flowchart of a method for determining a target compliance score provided by an embodiment of the present application; the compliance evaluation of the target traceable data according to the preset right confirmation evaluation dimension set to obtain a target compliance score can include the steps shown in Figure 6 .

[0094] B1, determining dimension data corresponding to each dimension in the preset right confirmation evaluation dimension set according to the target traceable data to obtain five dimension data;

[0095] B2, determining a compliance score corresponding to each dimension data in the five dimension data to obtain five compliance scores;

[0096] B3, determining a weight corresponding to each dimension in the preset right confirmation evaluation dimension set to obtain five weights;

[0097] B4, determining the target compliance score according to the five weights and the five compliance scores.

[0098] In the embodiment of the present application, the electronic device can determine dimension data corresponding to each dimension in the preset right confirmation evaluation dimension set according to the target traceable data to obtain five dimension data. Specifically, the target traceable data can be classified and extracted according to the preset right confirmation evaluation dimension set to obtain five dimension data. For example, for the data source dimension, the specific way of collecting target data (such as user authorization, public crawling, cooperation sharing, etc.) can be obtained from the target traceable data, the compliance file of the channel (such as authorization agreement, data purchase contract) is recorded, and it is checked whether the provider of the target data has the right to dispose legally (such as whether the user authorizes the third-party platform to share data), and the legality proof material of the source is confirmed, so that the dimension data corresponding to the data source dimension is obtained.

[0099] Then, compliance evaluation can be performed on the five dimension data, so as to obtain five compliance scores; then, the weight corresponding to each dimension in the preset right assessment dimension set can be determined, so as to obtain five weights; finally, weighted operation can be performed according to the five weights and the five compliance scores, so as to obtain the target compliance score.

[0100] In this way, by disassembling the five dimensions and matching the weights, the data right assessment compliance is converted from fuzzy judgment to quantifiable indicators, improving the objectivity and accuracy of the evaluation. In addition, by focusing on high-risk links (such as sensitive data processing) according to the weight differences of different dimensions (such as data sources and processing processes), the compliance review resources can be reasonably allocated, and the resource utilization rate can be improved.

[0101] Optionally, the determination of the compliance score corresponding to each dimension data in the five dimension data to obtain five compliance scores can include the following steps:

[0102] C1, obtain first dimension data; the first dimension data is any dimension data in the five dimension data;

[0103] C2, determine a preset rule library corresponding to the target enterprise according to the enterprise basic information;

[0104] C3, obtain n preset rules corresponding to the first dimension data from the preset rule library; n is a positive integer;

[0105] C4, detecting the first dimension data according to the n preset rules to obtain a preset rule that the first dimension data conforms to and b preset rules that the first dimension data does not conform to; a and b are natural numbers, and a+b=n;

[0106] C5, determine the rule weight of each preset rule in the n preset rules to obtain n rule weights;

[0107] C6, determine a rule weight corresponding to the a preset rules and b rule weights corresponding to the b preset rules according to the n rule weights;

[0108] C7, according to the first weight sum corresponding to the b rule weights and

[0109] C8, when the first weight sum is greater than a preset weight sum, determining that the compliance score corresponding to the first dimension data is zero;

[0110] C9, when the first weight sum is not greater than the preset weight sum, determining the compliance score corresponding to the first dimension data according to the a rule weights and the n rule weights.

[0111] In the embodiments of the present application, the preset weight sum can be preset or defaulted in advance.

[0112] In specific embodiments, the first dimension data can be acquired first; then, the preset rule library corresponding to the target enterprise can be determined according to the enterprise basic information, specifically, the industry to which the target enterprise belongs can be obtained from the enterprise basic information, and then the mapping relationship between the preset industry and the rule library can be pre-stored, and the preset rule library corresponding to the target industry is determined based on the mapping relationship; then, the preset rules corresponding to the first dimension data can be obtained from the preset rule library, and n preset rules are obtained, specifically, the key feature labels can be extracted from the first dimension data, for example, keywords (such as "public crawling", "user agreement authorization") are extracted, data types (such as personal information, non-sensitive data), and processing methods (such as API interface acquisition, offline collection), and then all preset rules containing corresponding feature labels can be filtered out from the preset rule library through keyword retrieval, regular expression matching and other methods, and n preset rules are obtained.

[0113] Then, the first dimension data can be detected for compliance according to the n preset rules, and it is detected which preset rules the first dimension data complies with and which preset rules the first dimension data violates, so that a preset rules that the first dimension data complies with and b preset rules that the first dimension data does not comply with are obtained; then, the rule weight of each preset rule in the n preset rules can be determined, and n rule weights are obtained, for example, the mapping relationship between the preset rules and the rule weights can be pre-stored, and n rule weights corresponding to the n preset rules are determined based on the mapping relationship.

[0114] Then, the a rule weights corresponding to the a preset rules and the b rule weights corresponding to the b preset rules can be found out from the n rule weights; then, the first weight sum corresponding to the b rule weights can be determined, specifically, the b rule weights can be added up to obtain the first weight sum; when the first weight sum is greater than the preset weight sum, it indicates that the violation degree of the first dimension data is large, and it can be determined that the compliance score corresponding to the first dimension data is zero.

[0115] When the first weight sum is not greater than the preset weight sum, the compliance score corresponding to the first dimension data can be determined according to the a rule weights and the n rule weights, and the specific calculation formula is as follows:

[0116]

[0117] Wherein, p1 is the compliance score corresponding to the first dimension data; w i represents the i th rule weight in the a rule weights; w j represents the j th rule weight in the n rule weights.

[0118] Thus, by calling the exclusive rule base (preset rule base) according to the enterprise basic information, the preset rules are screened in combination with the dimension data characteristics, so as to ensure that the evaluation standard is highly consistent with the actual business of the enterprise and the requirements of the industry standard.

[0119] Optionally, the determination of the weight corresponding to each dimension in the preset right confirmation evaluation dimension set obtains five weights, including:

[0120] D1, acquiring historical right confirmation judgment data from a preset database by using big data technology; the historical right confirmation judgment data includes m right confirmation judgment data; m is an integer greater than 1;

[0121] D2, determining a weight set corresponding to the preset right confirmation evaluation dimension set according to the m right confirmation judgment data, to obtain five first weight sets; each first weight set includes m weights;

[0122] D3, acquiring the credibility of each right confirmation judgment data in the m right confirmation judgment data, to obtain m credibilities;

[0123] D4, determining a fine-tuning factor corresponding to each credibility in the m credibilities, to obtain m fine-tuning factors;

[0124] D5, adjusting the corresponding weights in the five first weight sets according to the m fine-tuning factors, to obtain five second weight sets;

[0125] D6, determining an average weight corresponding to each second weight set in the five second weight sets, to obtain five average weights;

[0126] D7, determining a target industry in which the target enterprise is located according to the enterprise basic information;

[0127] D8, determining an importance value corresponding to each dimension in the preset right confirmation evaluation dimension set according to the target industry, to obtain five importance values;

[0128] D9, adjusting the corresponding average weights in the five average weights according to the five importance values, to obtain the five weights.

[0129] In the embodiments of the present application, the preset database can be preset or defaulted in advance.

[0130] In specific embodiments, historical right confirmation judgment data can be obtained from a preset database using big data technology. Specifically, the time dimension (e.g., the last 3 years), business type (e.g., financial data, medical data), right confirmation status (confirmed / not confirmed), and other key filtering conditions of the historical right confirmation judgment data can be defined first. Then, these conditions are combined to query the preset database using big data technology, so as to obtain the historical right confirmation judgment data. For example, a retrieval statement can be written using SQL or a big data query language (e.g., HiveQL). For example, the retrieval statement can be: SELECT * FROM right record table WHERE judgment result = 'pass' AND business type = 'e-commerce user data' AND timestamp BETWEEN '2022-01-01' AND '2025-05-26'.

[0131] Next, the weight set corresponding to the preset right confirmation evaluation dimension set can be determined according to the m right confirmation judgment data, and five first weight sets are obtained. Specifically, the weight of each dimension in the preset right confirmation evaluation dimension set can be obtained from the m right confirmation judgment data in sequence, so as to obtain the five first weight sets. Then, the credibility of each right confirmation judgment data in the m right confirmation judgment data can be obtained, and m credibilities are obtained. Specifically, the credibility can be determined according to the qualification of the right confirmation judgment party. For example, the qualification of the right confirmation judgment party is: regulatory agency > industry association > enterprise internal. By obtaining the right confirmation judgment party of each right confirmation judgment data in the m right confirmation judgment data, m right confirmation judgment parties are obtained. According to the qualifications of the m right confirmation judgment parties, the m credibilities can be determined. The higher the qualification of the right confirmation judgment party, the higher the credibility of the corresponding right confirmation judgment data.

[0132] Further, a fine-tuning factor corresponding to each credibility in the m credibilities can be determined, and m fine-tuning factors are obtained. For example, a preset mapping relationship between the credibility and the fine-tuning factor can be stored in advance, and the m fine-tuning factors corresponding to the m credibilities can be determined based on the mapping relationship. The value range of each fine-tuning factor can be -0.15-0.15. Then, the corresponding weights in the five first weight sets can be adjusted according to the m fine-tuning factors. The specific adjustment formula is as follows:

[0133] Target second weight = target first weight x (1 + target fine-tuning factor);

[0134] wherein, the target first weight is any first weight in the five first weight sets; the target fine-tuning factor is the fine-tuning factor corresponding to the target first weight in the m fine-tuning factors; the target second weight is the second weight corresponding to the target first weight in the five second weight sets; according to the above formula, the five second weight sets can be obtained; then, the average weight of each second weight set in the five second weight sets can be calculated, and five average weights are obtained.

[0135] Then, the target industry in which the target enterprise is located can be determined according to the enterprise basic information, for example, the business scope of the target enterprise can be obtained from the enterprise basic information, and the target industry can be determined according to the business scope; then, the importance degree value corresponding to each dimension of the preset right confirmation evaluation dimension set can be determined according to the target industry, and five importance degree values are obtained. Specifically, the core risk points of the target industry can be obtained, for example, the financial industry focuses on "compliance" and "capital flow right confirmation", and the manufacturing industry focuses on "property ownership" and "supply chain qualification right confirmation"; then, the matching degrees of each dimension and the core risk points can be analyzed, and five matching degrees are obtained. According to the five matching degrees, the five importance degree values are determined, and the higher the matching degree is, the higher the importance degree value is.

[0136] Finally, the corresponding average weight in the five average weights can be adjusted according to the five importance degree values, and five weights are obtained. Specifically, five optimization factors corresponding to the five importance degree values can be determined, for example, a mapping relationship between the preset importance degree values and the optimization factors can be pre-stored, and the five optimization factors corresponding to the five importance degree values are determined based on the mapping relationship. Then, the corresponding average weight in the five average weights can be adjusted through the five optimization factors, and the specific adjustment formula is as follows:

[0137] Target weight = target average weight x (1 + target optimization factor);

[0138] Wherein, the target average weight is any average weight in the five average weights; the target optimization factor is the optimization factor corresponding to the target average weight in the five optimization factors; the target weight is the weight corresponding to the target average weight in the five weights; according to the above calculation formula, the five weights are obtained.

[0139] In this way, the historical right confirmation data is obtained by using big data, the initial weight is generated by using statistical rules (such as the influence proportion of each dimension in the historical cases), the subjective speculation is avoided, the weight is ensured to have data support, in addition, the weight is adjusted according to the data credibility, the data with high credibility has greater influence on the weight, the low-quality historical data interference is filtered, and the weight accuracy is improved.

[0140] S304、In the case where the target determination result includes that the target data can develop data right confirmation work, generating a right confirmation determination report based on the enterprise basic information, the target data and the target determination result.

[0141] In the embodiments of the present application, when the target determination result includes that the target data can develop data right confirmation work, a right confirmation determination report can be generated based on the enterprise basic information, the target data and the target determination result. Specifically, a preset determination report template can be obtained first. The determination report template can include: a report title, right confirmation applicant information (i.e. information of the target enterprise), an evaluation work summary, an evaluation work introduction, a detailed evaluation process, an evaluation result, suggestions and measures, a technical appendix, etc. The above determination report template can be filled in according to the enterprise basic information, the target data and the target determination result to obtain the right confirmation determination report.

[0142] Optionally, when the target determination result includes that the target data cannot develop data right confirmation work, the method can include the following steps:

[0143] E1, determining a target reason why the target data cannot develop data right confirmation work;

[0144] E2, generating a target improvement suggestion according to the target reason;

[0145] E3, sending the target improvement suggestion to the enterprise management system.

[0146] In the embodiments of the present application, the electronic device can first determine a target reason why the target data cannot develop data right confirmation work. Specifically, it can be determined which dimension in a preset right confirmation evaluation dimension set is not compliant for the target data, to obtain a non-compliant dimension. The target data is analyzed according to the non-compliant dimension to find out the non-compliant reason of the target data, i.e. the target reason. For example, assuming that the non-compliant dimension is the data source dimension, the target data is analyzed according to the data source dimension, and it is found that part of the data is obtained from a non-public social platform through "spidering", without obtaining authorization from the social platform or the user. Therefore, the target reason is that the target data contains illegally crawled content, and the data acquisition source itself does not have legality.

[0147] Then, a target improvement suggestion can be generated according to the target reason. Specifically, key violation points (such as "without separate consent" and "illegal crawling") can be extracted from the target reason, and it is determined whether it is a "process defect", a "technology deficiency" or a "system gap". Then, a corresponding solution is formulated according to the key violation points to obtain the target improvement suggestion. Finally, the target improvement suggestion can be sent to the enterprise management system.

[0148] In this way, by positioning the core problem of data right confirmation obstruction (such as illegal source and lack of authorization), blind rectification is avoided, and subsequent measures are ensured to be "prescribed", so as to improve the right confirmation efficiency.

[0149] S305, sending the right confirmation determination report to the enterprise management system.

[0150] In the embodiments of the present application, the electronic device can send the right determination report to the enterprise management system through the Internet. For example, the electronic device can send a short message or an email to the enterprise management system. The short message or email template can be "

XX platform

[0151] In summary, the enterprise data resource compliance right determination method described in the present application first acquires the enterprise basic data of the target enterprise, and then based on the preset right evaluation dimension set, combines the enterprise basic information to comprehensively analyze the compliance and ownership feasibility of the target data in each dimension, and obtains the conclusion whether the data can be righted through quantitative or qualitative evaluation, thereby realizing the function of determining whether the data can be righted.

[0152] Please refer to Figure 7 , Figure 7 is a functional unit composition block diagram of an enterprise data resource compliance right determination device 700 provided by the embodiments of the present application, applied to an electronic device, the electronic device is connected with an enterprise management system of a target enterprise, the device 700 comprises: a transceiver unit 701, an acquisition unit 702, a right determination unit 703, wherein:

[0153] The transceiver unit 701 is configured to receive a first right request initiated by the enterprise management system, wherein the first right request is used to request right determination of target data of the target enterprise.

[0154] The acquisition unit 702 is configured to acquire enterprise basic information of the target enterprise.

[0155] The right determination unit 703 is configured to determine the right of the target data according to a preset right evaluation dimension set and the enterprise basic information, and obtain a target determination result. The target determination result includes that the target data can carry out data right work or the target data cannot carry out data right work. When the target determination result includes that the target data can carry out data right work, a right determination report is generated based on the enterprise basic information, the target data and the target determination result.

[0156] The transceiver unit 701 is further configured to send the right determination report to the enterprise management system.

[0157] Optionally, in the aspect of determining the right of the target data according to the preset right evaluation dimension set and the enterprise basic information, the right determination unit 703 is specifically configured to:

[0158] determine the business scope of the enterprise according to the enterprise basic information;

[0159] determine a target data range according to the business scope of the target enterprise;

[0160] when the target data is not in the target data range, determine that the target data cannot be used for data right confirmation;

[0161] when the target data is in the target data range, perform full-link tracing on the source, processing, storage and use of the target data to obtain target tracing data;

[0162] perform compliance evaluation on the target tracing data according to the preset right confirmation evaluation dimension set to obtain a target compliance score;

[0163] if the target compliance score is less than a preset compliance score, determine that the target data cannot be used for data right confirmation;

[0164] if the target compliance score is not less than the preset compliance score, determine that the target data can be used for data right confirmation.

[0165] Optionally, the preset right confirmation evaluation dimension set includes a data source dimension, a data content dimension, a data processing dimension, a data management dimension and a data operation dimension. In the aspect of performing compliance evaluation on the target tracing data according to the preset right confirmation evaluation dimension set to obtain a target compliance score, the right confirmation determination unit 703 is specifically configured to:

[0166] determine, according to the target tracing data, dimension data corresponding to each dimension in the preset right confirmation evaluation dimension set to obtain five dimension data;

[0167] determine a compliance score corresponding to each dimension data in the five dimension data to obtain five compliance scores;

[0168] determine a weight corresponding to each dimension in the preset right confirmation evaluation dimension set to obtain five weights;

[0169] determine the target compliance score according to the five weights and the five compliance scores.

[0170] Optionally, in the aspect of determining a compliance score corresponding to each dimension data in the five dimension data to obtain five compliance scores, the right confirmation determination unit 703 is specifically configured to:

[0171] obtain first dimension data; the first dimension data is any dimension data in the five dimension data;

[0172] determine a preset rule library corresponding to the target enterprise according to the enterprise basic information;

[0173] obtaining a preset rule corresponding to the first dimension data from the preset rule library, obtaining n preset rules; n is a positive integer;

[0174] detecting the first dimension data according to the n preset rules, obtaining a preset rule that the first dimension data conforms to, and b preset rules that the first dimension data does not conform to; a and b are natural numbers, and a+b=n;

[0175] determining the rule weight of each preset rule in the n preset rules, obtaining n rule weights;

[0176] determining a rule weight corresponding to the a preset rules and b rule weights corresponding to the b preset rules according to the n rule weights;

[0177] determining a first weight sum corresponding to the b rule weights;

[0178] when the first weight sum is greater than a preset weight sum, determining that the compliance score corresponding to the first dimension data is zero;

[0179] when the first weight sum is not greater than the preset weight sum, determining the compliance score corresponding to the first dimension data according to the a rule weights and the n rule weights.

[0180] Optionally, in the aspect of determining the weight corresponding to each dimension in the preset rule evaluation dimension set, the rule determination unit 703 is specifically configured to:

[0181] obtain historical rule determination data from a preset database by using big data technology; the historical rule determination data includes m rule determination data; m is an integer greater than 1;

[0182] determining a weight set corresponding to the preset rule evaluation dimension set according to the m rule determination data, obtaining five first weight sets; each first weight set includes m weights;

[0183] obtaining the credibility of each rule determination data in the m rule determination data, obtaining m credibilities;

[0184] determining a fine tuning factor corresponding to each credibility in the m credibilities, obtaining m fine tuning factors;

[0185] adjusting the corresponding weights in the five first weight sets according to the m fine tuning factors, obtaining five second weight sets;

[0186] determining an average weight corresponding to each second weight set in the five second weight sets, obtaining five average weights;

[0187] determine a target industry in which the target enterprise is located according to the enterprise basic information;

[0188] determine, according to the target industry, an importance degree value corresponding to each dimension in the preset right confirmation evaluation dimension set, to obtain five importance degree values;

[0189] adjust a corresponding average weight in the five average weights according to the five importance degree values, to obtain the five weights.

[0190] Optionally, in the aspect of obtaining the enterprise basic information of the target enterprise, the obtaining unit 702 is specifically configured to:

[0191] send an information collection form to the enterprise management system;

[0192] receive filling information of the target enterprise for the information collection form, to obtain target filling information;

[0193] obtain enterprise public information of the target enterprise;

[0194] compare the enterprise public information with the target filling information, to obtain suspicious information;

[0195] send the suspicious information to the target enterprise, to inform the target enterprise to confirm the suspicious information, to obtain confirmation information;

[0196] determine the enterprise basic information according to the confirmation information and the target filling information.

[0197] Optionally, when the target determination result includes that the target data cannot develop data right confirmation work, the enterprise data resource compliance right confirmation determination apparatus 700 is specifically configured to:

[0198] determine a target reason why the target data cannot develop data right confirmation work;

[0199] generate a target improvement suggestion according to the target reason;

[0200] send the target improvement suggestion to the enterprise management system.

[0201] In specific implementation, the enterprise data resource compliance right confirmation determination apparatus 700 described in the embodiments of the present application can also perform other implementation manners described in the enterprise data resource compliance right confirmation determination method provided by the embodiments of the present application, which will not be repeated here.

[0202] Please refer to Figure 8 , Figure 8Fig. 2 is a structural schematic diagram of another electronic device provided by an embodiment of the present application. The electronic device can include a processor, a memory, a communication interface, and one or more programs. The processor, the memory, and the communication interface can be connected to each other through a bus. The one or more programs are stored in the memory and configured to be executed by the processor. In the embodiment of the present application, the electronic device is connected to an enterprise management system of a target enterprise. The program includes instructions for performing the following steps:

[0203] receiving a first right confirmation request initiated by the enterprise management system, wherein the first right confirmation request is used to request a right confirmation determination on target data of the target enterprise;

[0204] obtaining enterprise basic information of the target enterprise;

[0205] performing a right confirmation determination on the target data according to a preset right confirmation evaluation dimension set and the enterprise basic information, to obtain a target determination result. The target determination result includes that the target data can develop data right confirmation work or the target data cannot develop data right confirmation work.

[0206] when the target determination result includes that the target data can develop data right confirmation work, generating a right confirmation determination report based on the enterprise basic information, the target data, and the target determination result;

[0207] sending the right confirmation determination report to the enterprise management system.

[0208] In specific implementations, the electronic device described in the embodiments of the present application can also perform other implementation manners described in the determination method of the enterprise data resource compliance right confirmation provided by the embodiments of the present application, which will not be described here.

[0209] The embodiments of the present application further provide a computer readable storage medium, wherein the computer readable storage medium stores a computer program for electronic data exchange, and the computer program causes a computer to execute part or all steps of any method recorded in the above method embodiments. The computer includes an electronic device.

[0210] The embodiments of the present application further provide a computer program product, which includes a non-transitory computer readable storage medium storing a computer program. The computer program is operable to cause a computer to execute part or all steps of any method recorded in the above method embodiments. The computer program product can be a software installation package, and the computer includes an electronic device.

[0211] It should be noted that, for the foregoing method embodiments, for the sake of simple description, they are all described as a combination of a series of actions, but those skilled in the art should know that the present application is not limited to the order of the actions described, because according to the present application, certain steps can be performed in other orders or simultaneously. Secondly, those skilled in the art should know that the embodiments described in the specification are all preferred embodiments, and the actions and modules involved are not necessarily essential to the present application.

[0212] In the above embodiments, the description of each embodiment has its own focus, and the parts not described in detail in a certain embodiment can be referred to the related description of other embodiments.

[0213] In several embodiments provided in the present application, it should be understood that the disclosed apparatus can be implemented by other means. For example, the apparatus embodiments described above are only illustrative, for example, the division of the above units is only a logical function division, and actual implementation can have another division manner, for example, multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. In addition, the coupling or direct coupling or communication connection between the displayed or discussed each other can be indirect coupling or communication connection through some interfaces, apparatuses or units, which can be electrical or other forms.

[0214] Those of ordinary skill in the art can understand that all or part of the processes in the above embodiments can be implemented by a computer program instructing relevant hardware, and the program can be stored in a computer readable storage medium. When the program is executed, it can include the processes of the above method embodiments. The foregoing storage medium includes ROM, random access memory (RAM), magnetic disk or optical disk, and various program code storage media.

[0215] The steps of the method or algorithm described in the embodiments of the present application can be implemented in a hardware manner or by a processor executing software instructions. The software instructions can be composed of corresponding software modules, and the software modules can be stored in a RAM, a flash memory, a ROM, an electrically EPROM (EEPROM), a register, a hard disk, a mobile hard disk, a CD-ROM (compact disc-read only memory), or any other form of storage medium well known in the art. An exemplary storage medium is coupled to the processor, so that the processor can read information from the storage medium and write information to the storage medium. Of course, the storage medium can also be an integral part of the processor. The processor and the storage medium can be located in an ASIC. In addition, the ASIC can be located in a terminal device or a management device. Of course, the processor and the storage medium can also exist as discrete components in the terminal device or the management device.

[0216] Those skilled in the art should be aware that, in one or more examples described above, the functions described in the embodiments of the present application can be implemented entirely or partially by software, hardware, firmware, or any combination thereof. When implemented by software, it can be implemented in the form of a computer program product entirely or partially. The computer program product includes one or more computer instructions. When loaded and executed on a computer, the computer program instructions entirely or partially generate the processes or functions described in the embodiments of the present application.

[0217] The computer described above can be a general-purpose computer, a special-purpose computer, a computer network, or other programmable devices. The computer instructions can be stored in a computer-readable storage medium or transmitted from one computer-readable storage medium to another computer-readable storage medium. For example, the computer instructions can be transmitted from one website, computer, server, or data center to another website, computer, server, or data center through a wired (such as coaxial cable, optical fiber, digital subscriber line (DSL)) or wireless (such as infrared, wireless, microwave, etc.) manner. The computer-readable storage medium can be any available medium that can be accessed by a computer or a data storage device such as a server, data center, etc. integrated with one or more available media sets.

[0218] Among them, the available media can be magnetic media (such as floppy disk, hard disk, magnetic tape), optical media (such as digital video disc (DVD)), or semiconductor media (such as solid state disk (SSD)), etc.

[0219] The various modules / units included in the various devices and products described in the above embodiments can be software modules / units or hardware modules / units, or partially software modules / units and partially hardware modules / units. For example, for the various devices and products applied to or integrated into a chip, the various modules / units included therein can all be implemented in the form of hardware such as circuitry, or at least some of the modules / units can be implemented in the form of software programs running on a processor integrated in the chip, and the remaining (if any) modules / units can be implemented in the form of hardware such as circuitry; for the various devices and products applied to or integrated into a chip module, the various modules / units included therein can all be implemented in the form of hardware such as circuitry, and different modules / units can be located in the same component (e.g., a chip, a circuit module, etc.) or different components of the chip module, or at least some of the modules / units can be implemented in the form of software programs running on a processor integrated in the chip module, and the remaining (if any) modules / units can be implemented in the form of hardware such as circuitry; for the various devices and products applied to or integrated into a terminal device, the various modules / units included therein can all be implemented in the form of hardware such as circuitry, and different modules / units can be located in the same component (e.g., a chip, a circuit module, etc.) or different components of the terminal device, or at least some of the modules / units can be implemented in the form of software programs running on a processor integrated in the terminal device, and the remaining (if any) modules / units can be implemented in the form of hardware such as circuitry.

[0220] The above detailed description of the specific implementation of the embodiments of the present application has further explained the purposes, technical solutions, and beneficial effects of the embodiments of the present application. It should be understood that the above description is only a specific implementation of the embodiments of the present application and is not intended to limit the protection scope of the embodiments of the present application. Any modification, equivalent replacement, improvement, etc. made on the basis of the technical solutions of the embodiments of the present application shall be included in the protection scope of the embodiments of the present application.

Claims

1. A method for determining compliance with enterprise data resource ownership, characterized in that: Applied to an electronic device, the electronic device is connected to an enterprise management system of a target enterprise, and the method includes: Receiving a first right confirmation request initiated by the enterprise management system, wherein the first right confirmation request is used to request a right confirmation determination for target data of the target enterprise; Obtaining basic enterprise information of the target enterprise; Performing a rights confirmation determination on the target data according to a preset rights confirmation assessment dimension set and the basic information of the enterprise, obtaining a target determination result; the target determination result includes: whether the target data can carry out data rights confirmation work or whether the target data cannot carry out data rights confirmation work; When the target determination result includes that the target data is capable of carrying out data rights confirmation work, generating a rights confirmation determination report based on the enterprise basic information, the target data and the target determination result; The ownership confirmation report is sent to the enterprise management system.

2. The method according to claim 1, wherein The performing ownership determination on the target data according to the preset ownership determination evaluation dimension set and the basic information of the enterprise to obtain a target determination result includes: Determine the business scope of the enterprise based on the basic information of the enterprise; Determine the data scope that the target enterprise can legally collect based on the business scope of the enterprise to obtain the target data scope; When the target data is not within the target data range, determining the target determination result includes: the target data cannot be used for data rights confirmation; When the target data is within the target data range, the source, processing, storage and use of the target data are fully traced to obtain target traceability data; Performing a compliance assessment on the target traceability data according to the preset ownership confirmation assessment dimension set to obtain a target compliance score; If the target compliance score is less than the preset compliance score, determining the target determination result includes: the target data cannot be used for data ownership confirmation; If the target compliance score is not less than the preset compliance score, determining the target determination result includes: the target data is capable of carrying out data rights confirmation work.

3. The method according to claim 2, wherein The preset ownership confirmation assessment dimension set includes: data source dimension, data content dimension, data processing dimension, data management dimension, and data operation dimension; the compliance assessment of the target traceability data is performed according to the preset ownership confirmation assessment dimension set to obtain a target compliance score, including: Determine the dimensional data corresponding to each dimension in the preset ownership confirmation assessment dimension set according to the target traceability data to obtain five dimensional data; Determine the compliance score corresponding to each dimension of the five dimensions to obtain five compliance scores; Determine the weight corresponding to each dimension in the preset property rights assessment dimension set to obtain five weights; The target compliance score is determined according to the five weights and the five compliance scores.

4. The method according to claim 3, wherein The determining of the compliance score corresponding to each dimension of the five dimensions to obtain five compliance scores includes: Acquire first dimension data; the first dimension data is any dimension data among the five dimension data; Determine a preset rule library corresponding to the target enterprise based on the basic enterprise information; Obtaining preset rules corresponding to the first dimension data from the preset rule library to obtain n preset rules, where n is a positive integer; The first dimensional data is tested according to the n preset rules to obtain a preset rules that the first dimensional data complies with and b preset rules that the first dimensional data does not comply with; a and b are both natural numbers, and a+b=n; Determining a rule weight of each of the n preset rules to obtain n rule weights; Determining, according to the n rule weights, a rule weight corresponding to the a preset rule, and b rule weights corresponding to the b preset rules; According to the first weight sum corresponding to the b rule weights; When the first weight sum is greater than the preset weight sum, determining that the compliance score corresponding to the first dimension data is zero; When the first weight sum is not greater than the preset weight sum, the compliance score corresponding to the first dimensional data is determined according to the a rule weights and the n rule weights.

5. The method according to claim 3 or 4, wherein: The weight corresponding to each dimension in the preset ownership confirmation assessment dimension set is determined to obtain five weights, including: Using big data technology to obtain historical title confirmation data from a preset database; the historical title confirmation data includes m title confirmation data; m is an integer greater than 1; Determine the weight set corresponding to the preset right confirmation evaluation dimension set based on the m right confirmation determination data, and obtain five first weight sets; each first weight set includes m weights; Obtaining the credibility of each piece of the m pieces of title confirmation determination data to obtain m credibility scores; Determine a fine-tuning factor corresponding to each of the m credibility levels to obtain m fine-tuning factors; Adjusting corresponding weights in the five first weight sets according to the m fine-tuning factors to obtain five second weight sets; Determine an average weight corresponding to each of the five second weight sets to obtain five average weights; Determine the target industry of the target enterprise based on the basic information of the enterprise; Determine the importance value corresponding to each dimension in the preset ownership confirmation assessment dimension set according to the target industry, and obtain five importance values; The corresponding average weights among the five average weights are adjusted according to the five importance values ​​to obtain the five weights.

6. The method according to any one of claims 1 to 3, wherein: The obtaining of basic enterprise information of the target enterprise includes: Sending a basic information collection form to the enterprise management system; Receiving the target enterprise's filled-in information for the basic information collection form to obtain target filled-in information; Obtaining public information of the target enterprise; Comparing the public information of the enterprise with the information filled in by the target to obtain questionable information; Sending the questionable information to the target enterprise, notifying the target enterprise to confirm the questionable information, and obtaining confirmation information; The basic information of the enterprise is determined according to the confirmation information and the target filled-in information.

7. The method according to any one of claims 1 to 3, wherein: When the target determination result includes that the target data cannot be used for data ownership confirmation, the method includes: Determine the target reason why the target data cannot be used for data ownership confirmation; Generate target improvement suggestions based on the target reasons; The target improvement suggestion is sent to the enterprise management system.

8. A device for determining compliance with enterprise data resource rights, characterized in that: Applied to electronic equipment, the electronic equipment is connected to the enterprise management system of the target enterprise, the device includes: a transceiver unit, an acquisition unit, and a right confirmation and determination unit, wherein: The transceiver unit is configured to receive a first right confirmation request initiated by the enterprise management system, wherein the first right confirmation request is used to request a right confirmation determination for the target data of the target enterprise; The acquisition unit is used to acquire basic enterprise information of the target enterprise; The right confirmation determination unit is configured to perform a right confirmation determination on the target data based on a preset right confirmation assessment dimension set and the basic enterprise information, and obtain a target determination result; the target determination result includes: whether the target data can carry out data right confirmation work or whether the target data cannot carry out data right confirmation work; when the target determination result includes that the target data can carry out data right confirmation work, generate a right confirmation determination report based on the basic enterprise information, the target data, and the target determination result; The transceiver unit is further configured to send the ownership confirmation report to the enterprise management system.

9. An electronic device, characterized in that: include: a processor, a memory, a communication interface, and one or more programs; The one or more programs are stored in the memory and configured to be executed by the processor, wherein the programs include instructions for executing the steps of the method according to any one of claims 1 to 7.

10. A computer-readable storage medium, characterized in that A computer program for electronic data exchange is stored, wherein the computer program enables a computer to execute the method according to any one of claims 1 to 7.

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