Target data processing method, device and equipment

Abstract

The embodiment of the invention provides a target data processing method, device and equipment. The method comprises the following steps: acquiring data change data of target data; determining data change characteristics of target data according to the data change data; updating a preset storage database according to the data change features; outputting the change information of the preset storage database to a target object; wherein the preset storage database is obtained through the following processes: obtaining data of target data; determining data features of target data according to the data; and obtaining the preset storage database according to the data features. According to the embodiment of the invention, dynamic tracking can be realized through a change data acquisition-feature determination-database updating closed loop, and the database is ensured to be the latest version all the time.

Description

TECHNICAL FIELD

[0001] The embodiment of the present application relates to the field of enterprise information data processing, in particular to a target material data processing method, device and equipment. BACKGROUND

[0002] Target customer material is a collection of various types of information related to customers collected and maintained by enterprises or organizations for managing customer relationships, providing accurate services and developing business activities. At present, the processing of target customer material often focuses on one-time collection + storage, and the response to material changes lags behind; the extraction and storage of material features are scattered and lack systematic correlation; there are deficiencies in information transmission after material changes. SUMMARY

[0003] The technical problem to be solved by the embodiment of the present application is to provide a target material data processing method, device and equipment, which can realize dynamic tracking through a closed loop of change data acquisition-feature determination-database update, and ensure that the database is always the latest version.

[0004] To solve the above technical problems, the technical scheme of the embodiment of the present application is as follows:

[0005] A target material data processing method, comprising:

[0006] Obtaining material change data of target material data;

[0007] According to the material change data, determining the material change feature of the target material data;

[0008] According to the material change feature, updating a preset storage database;

[0009] Outputting the change information of the preset storage database to a target object;

[0010] Wherein, the preset storage database is obtained through the following process: obtaining material data of target material; according to the material data, determining the material feature of the target material; according to the material feature, obtaining the preset storage database.

[0011] Optionally, the material data includes customer basic information, enterprise qualification information and business association information;

[0012] According to the material data, determining the material feature of the target material, comprising:

[0013] According to the customer basic information, determining the customer identity, contact information and industry of the target material;

[0014] According to the enterprise qualification information, determining the enterprise qualification level, validity period and authentication range of the target material;

[0015] determine, according to the business association information, a business cooperation type, a cooperation duration and a transaction scale of the target data;

[0016] The data features include at least one of a customer identity, a contact method, an industry to which the customer belongs, an enterprise qualification level, a validity period, an authentication range, a business cooperation type, a cooperation duration and a transaction scale.

[0017] Optionally, the preset storage database is obtained according to the data features, and the obtaining includes:

[0018] The customer identity, the contact method, the industry to which the customer belongs, the enterprise qualification level, the validity period, the authentication range, the business cooperation type, the cooperation duration and the transaction scale are associated and stored to obtain the preset storage database.

[0019] Optionally, the data change data includes first change data of customer basic information, second change data of enterprise qualification information and third change data of business association information.

[0020] According to the data change data, data change features of the target data are determined, and the determining includes:

[0021] According to the first change data, a changed customer identity, a changed contact method and a changed industry to which the customer belongs are determined.

[0022] According to the second change data, a changed enterprise qualification level, a changed validity period and a changed authentication range are determined.

[0023] According to the third change data, a changed business cooperation type, a changed cooperation duration and a changed transaction scale are determined.

[0024] The data change features include at least one of the changed customer identity, the changed contact method, the changed industry to which the customer belongs, the changed enterprise qualification level, the changed validity period, the changed authentication range, the changed business cooperation type, the changed cooperation duration and the changed transaction scale.

[0025] Optionally, a preset storage database is updated according to the data change features, and the updating includes:

[0026] According to the changed customer identity, the customer identity in the preset storage database is updated.

[0027] According to the changed contact method, the contact method in the preset storage database is updated.

[0028] According to the changed industry to which the customer belongs, the industry to which the customer belongs in the preset storage database is updated.

[0029] update the enterprise qualification level in the preset storage database according to the changed enterprise qualification level;

[0030] update the validity period in the preset storage database according to the changed validity period;

[0031] update the authentication range in the preset storage database according to the changed authentication range;

[0032] update the business cooperation type in the preset storage database according to the changed business cooperation type;

[0033] update the cooperation duration in the preset storage database according to the changed cooperation duration;

[0034] update the transaction scale in the preset storage database according to the changed transaction scale.

[0035] Optionally, the change information of the preset storage database is output to a target object, including:

[0036] the change information of at least one of the customer identity, the contact information, the industry to which the customer belongs, the enterprise qualification level, the validity period, the authentication range, the business cooperation type, the cooperation duration and the transaction scale in the preset storage database is output to the target object.

[0037] Optionally, the change information includes at least one of the customer identity before and after the change, the contact information before and after the change, the industry to which the customer belongs before and after the change, the enterprise qualification level before and after the change, the validity period before and after the change, the authentication range before and after the change, the business cooperation type before and after the change, the cooperation duration before and after the change and the transaction scale before and after the change.

[0038] Embodiments of the present application also provide a processing device for target material data, including:

[0039] an acquisition module configured to acquire material change data of the target material data;

[0040] a processing module configured to determine a material change feature of the target material data according to the material change data, update a preset storage database according to the material change feature, and output change information of the preset storage database to a target object, wherein the preset storage database is obtained by the following process: acquiring material data of a target material, determining a material feature of the target material according to the material data, and obtaining the preset storage database according to the material feature.

[0041] Embodiments of the present application also provide a computing device, including:

[0042] one or more processors;

[0043] a memory device storing one or more programs, when executed by the one or more processors, cause the one or more processors to implement the method as described above.

[0044] An embodiment of the present application also provides a computer device readable storage medium, which stores a program, when executed by a processor, implements the method as described above.

[0045] The above scheme of the embodiment of the present application has at least the following beneficial effects:

[0046] The above scheme of the embodiment of the present application upgrades static storage to dynamic tracking through the closed loop of obtaining material change data-determining change characteristics-updating the database, captures customer information changes in real time, ensures that the database is always the latest version, provides real-time data support for subsequent services and decision-making, and avoids service deviation or decision-making errors caused by relying on outdated information.

[0047] Through obtaining material data-determining material characteristics-constructing a preset storage database, the structured integration of full-dimensional characteristics is realized; when new change characteristics are added in the update stage, the corresponding module is embedded according to the initial database logic, the correlation between characteristics is maintained, the enterprise forms a complete customer cognition, and the influence of fragmented information on service accuracy is avoided.

[0048] The step of outputting the database change information to the target object can accurately position the receiving object according to business needs, ensure that the change information actively reaches the relevant positions, avoid work deviation caused by information difference, and directly convert the material change into actual value of service optimization and efficiency improvement. BRIEF DESCRIPTION OF DRAWINGS

[0049] Figure 1 is a flowchart of a target material data processing method provided by an embodiment of the present application.

[0050] Figure 2 is a module schematic diagram of a target material data processing device provided by an embodiment of the present application. DETAILED DESCRIPTION

[0051] Exemplary embodiments of the present application will be described in greater detail below with reference to the accompanying drawings. Although exemplary embodiments of the present application are shown in the drawings, it should be understood that the present application can be implemented in various forms and should not be limited by the embodiments set forth herein. On the contrary, these embodiments are provided so that the present application can be more thoroughly understood and the scope of the present application can be accurately conveyed to those skilled in the art.

[0052] As shown in Figure 1 , an embodiment of the present application provides a target material data processing method, comprising:

[0053] Step 11, obtaining the data change data of the target data;

[0054] Step 12, determining the data change feature of the target data according to the data change data;

[0055] Step 13, updating the preset storage database according to the data change feature;

[0056] Step 14, outputting the change information of the preset storage database to the target object;

[0057] Wherein, the preset storage database is obtained by the following process:

[0058] Step 101, obtaining the data of the target data;

[0059] Step 102, determining the data feature of the target data according to the data;

[0060] Step 103, obtaining the preset storage database according to the data feature.

[0061] In this example, through the closed loop of obtaining data change data-determining change feature-updating database, static storage is upgraded to dynamic tracking, real-time capture of customer information change is ensured, the database is always the latest version, real-time data support is provided for subsequent service and decision-making, and service deviation or decision-making error caused by relying on outdated information is avoided.

[0062] By obtaining data-determining data features-constructing a preset storage database, the structured integration of full-dimensional features is realized; when new change features are added in the updating stage, the corresponding module is embedded according to the initial database logic, the correlation between features is maintained, the complete customer cognition of the enterprise is formed, and the influence of fragmented information on service accuracy is avoided.

[0063] The step of outputting the database change information to the target object can accurately position the receiving object according to business needs, ensure that the change information actively reaches the relevant positions, avoid work deviation caused by information difference, and directly convert the data change into actual value of service optimization and efficiency improvement.

[0064] In an optional embodiment of the application, in step 101, the data includes: customer basic information, enterprise qualification information and business association information.

[0065] Specifically, the customer basic information can be obtained by active collection, system docking and checking, and historical data migration; the enterprise qualification information can be obtained by customer submission, data source synchronization and manual verification supplement; and the business association information can be obtained by internal business system collection, interactive behavior tracking and customer confirmation update.

[0066] In this example, the data integrity and accuracy are improved, such as customer basic information is actively collected, and system connection is used to ensure timeliness and continuity through multiple channels; enterprise qualification information is submitted by the customer, and artificial verification is used to avoid false information; business-related information is collected by the system, and the customer confirms the effectiveness to avoid the one-sidedness of a single method.

[0067] Efficiency and compliance are considered, standardized information is collected automatically to reduce costs, sensitive qualifications are verified by artificial compliance, and dynamic business information balances real-time and accuracy; and a high-quality foundation is provided for subsequent feature extraction and database construction.

[0068] In an optional embodiment of the application, in step 102, the data features of the target data are determined according to the data, including:

[0069] In step 1021, the customer identity, contact information and industry of the target data are determined according to the customer basic information.

[0070] Specifically, the customer identity of the target data is determined according to CI=IdentityParser(CDT).

[0071] Wherein, CI is the customer identity, IdentityParser is a customer identity parsing function, which is used to extract and parse the customer identity from the customer basic information, and CDT is the customer basic information data.

[0072] The contact information of the target data is determined according to CW=ContactParser(CDT).

[0073] Wherein, CW is the contact information, ContactParser is a contact information parsing function, which is used to extract the contact information from the customer basic information, and CDT is the customer basic information data.

[0074] The industry of the target data is determined according to IS=IndustryClassifier(CDT).

[0075] Wherein, IS is the industry, IndustryClassifier is an industry classification function, which is used to determine the industry of the customer according to the customer basic information, and CDT is the customer basic information data.

[0076] In step 1022, the enterprise qualification level, validity period and authentication range of the target data are determined according to the enterprise qualification information.

[0077] Specifically, the enterprise qualification level of the target data is determined according to EL=GetQualificationLevel(QDT).

[0078] EL = GetQualificationLevel (QDT), determining the qualification level of the target data;

[0079] EV = GetValidityPeriod (QDT), determining the validity period of the target data;

[0080] EV = GetValidityPeriod (QDT), determining the validity period of the target data;

[0081] ES = GetScope (QDT), determining the authentication scope of the target data;

[0082] ES = GetScope (QDT), determining the authentication scope of the target data;

[0083] Step 1023, according to the business association information, determining the business cooperation type, cooperation duration and transaction scale of the target data;

[0084] Specifically, according to BT = ClassifyBusinessType (BDT), the business cooperation type of the target data is determined;

[0085] BT = ClassifyBusinessType (BDT), the business cooperation type of the target data is determined;

[0086] BC = CalculateDuration (BDT), determining the cooperation duration of the target data;

[0087] BC = CalculateDuration (BDT), determining the cooperation duration of the target data;

[0088] BV = CalculateVolume (BDT), determining the transaction scale of the target data;

[0089] BV = CalculateVolume (BDT), determining the transaction scale of the target data;

[0090] The information features include at least one of customer identity, contact information, industry, enterprise qualification level, validity period, authentication range, business cooperation type, cooperation duration and transaction scale.

[0091] In this example, the standardization and accuracy of feature extraction are achieved; exclusive parsing functions are designed for the three types of information (such as IdentityParser for extracting customer identity and GetQualificationLevel for determining the qualification level), the fuzzy feature extraction is converted into quantifiable function operation, the deviation of manual judgment is avoided, the feature extraction standards of different customer information are unified, and the data consistency is improved.

[0092] The comprehensiveness and relevance of feature dimensions are ensured. The nine core features covering the three dimensions of customer identity, qualification and business include both static information (such as industry) and dynamic indicators (such as transaction scale), forming a complete feature system. Each feature is logically associated based on the original data, providing a structured basis for subsequent database construction.

[0093] The processing efficiency and scalability are improved. The function extraction method can be automatically executed, reducing the cost of manual operation; the modular design facilitates the addition of new feature types or optimization of extraction rules, adapting to different business scenarios, laying a technical foundation for dynamic updating of information and value mining.

[0094] In an optional embodiment of the present application, in step 103, the preset storage database is obtained according to the information features, including:

[0095] In step 1031, the customer identity, contact information, industry, enterprise qualification level, validity period, authentication range, business cooperation type, cooperation duration and transaction scale are associated and stored to obtain the preset storage database.

[0096] Specifically, taking the customer identity as the unique association key, all information features (customer identity, contact information, industry, enterprise qualification level, validity period, authentication range, business cooperation type, cooperation duration and transaction scale) are bound into a complete customer information file; the associated customer information file is stored to obtain the preset storage database.

[0097] In this example, the systematic integration of information features is achieved, avoiding information fragmentation, forming a complete customer file for quick and complete information query. The logical association of each feature is ensured to be close, and a unique identifier is used for subsequent change tracking and data analysis to provide a unified benchmark, improving the practicality and efficiency of the database and supporting accurate business decisions.

[0098] In an optional embodiment of the present application, in step 11, the data change data includes: first change data of customer basic information, second change data of enterprise qualification information, and third change data of business association information.

[0099] Specifically, the first change data can be obtained through active declaration, system verification triggering, and third-party data source pushing; the second change data can be obtained through qualification expiration reminding triggering, data synchronization, and manual review input; and the third change data can be obtained through business process automatic capture, regular data summary, and customer cooperation agreement change.

[0100] In this example, the change data is ensured to be comprehensive and timely. The first change data is obtained through multiple channels to ensure the freshness of customer information; the second change data is combined with reminders and audits to avoid missing expired qualifications; and the third change data is automatically captured and synchronized with agreements to reflect business dynamics in real time.

[0101] The accuracy of the change response is improved, high-quality data sources are provided for subsequent feature extraction and database updating, and the timeliness and reliability of overall data management are strengthened.

[0102] In an optional embodiment of the present application, in step 12, according to the data change data, the data change features of the target data are determined, including:

[0103] In step 121, according to the first change data, the changed customer identity, changed contact information, and changed industry of the target data are determined.

[0104] In step 122, according to the second change data, the changed enterprise qualification level, changed validity period, and changed authentication range of the target data are determined.

[0105] In step 123, according to the third change data, the changed business cooperation type, changed cooperation duration, and changed transaction size of the target data are determined.

[0106] The data change features include at least one of the changed customer identity, changed contact information, changed industry, changed enterprise qualification level, changed validity period, changed authentication range, changed business cooperation type, changed cooperation duration, and changed transaction size.

[0107] Specifically, the determination process of the data change features can be determined according to the determination process of the data features.

[0108] In this example, the change features are accurately corresponded, and a clear mapping is formed with the initial data features (such as the first change data corresponding to the change of customer basic information), ensuring the logical coherence of the data before and after the change, and facilitating traceability and comparison.

[0109] Maintain the integrity of the feature system, cover customer identity, qualification, business full-dimensional change, avoid missing key changes.

[0110] Continue the standardized process of data feature determination, improve the standardization and efficiency of change processing, provide reliable basis for accurate database update, and strengthen dynamic data management capability.

[0111] In an optional embodiment of the present application, in step 13, updating the preset storage database according to the data change feature comprises:

[0112] Step 1301, updating the customer identity in the preset storage database according to the changed customer identity;

[0113] Specifically, according to , determine the identity in the updated preset storage database;

[0114] Wherein, CI2 is the identity in the updated preset storage database, CI1 is the changed customer identity, CI0 is the original customer identity, CF1 is the customer identity input type, GS1 is the format verification result, 1 is passed, 0 is not passed, WY1 is the uniqueness verification result, QS1 is the permission verification result;

[0115] Step 1302, updating the contact information in the preset storage database according to the changed contact information;

[0116] Specifically, according to , determine the contact information in the updated preset storage database;

[0117] Wherein, CW2 is the contact information in the updated preset storage database, CW1 is the changed contact information, CW0 is the original contact information, CF2 is the contact information input type, GS2 is the format verification result, 1 is passed, 0 is not passed, DX2 is the SMS verification verification result;

[0118] Step 1303, updating the industry to which the preset storage database belongs according to the changed industry;

[0119] Specifically, according to , determine the industry to which the updated preset storage database belongs;

[0120] Wherein, IS2 is the industry to which the updated preset storage database belongs, IS1 is the changed industry, IS0 is the original industry, CF3 is the industry input type, HS3 is the industry tree matching result, 1 is passed, 0 is not passed, YW3 is the business matching degree result, SP3 is the approval verification result;

[0121] Step 1304, updating the enterprise qualification level in the preset storage database according to the changed enterprise qualification level;

[0122] Specifically, according to , determining the enterprise qualification level in the preset storage database after updating;

[0123] Wherein, EL2 is the enterprise qualification level in the preset storage database after updating, EL1 is the changed enterprise qualification level, EL0 is the original enterprise qualification level, CF4 is the enterprise qualification level input type, DJ4 is the grade system verification result, 1 is passed, 0 is not passed, QW4 is the authoritative verification result, and GL4 is the correlation verification result;

[0124] Step 1305, updating the validity period in the preset storage database according to the changed validity period;

[0125] Specifically, according to , determining the validity period in the preset storage database after updating;

[0126] Wherein, EV2 is the validity period in the preset storage database after updating, EV1 is the changed validity period, EV0 is the original validity period, CF5 is the validity period input type, GS5 is the format verification result, 1 is passed, 0 is not passed, and SX5 is the timeliness verification result;

[0127] Step 1306, updating the authentication range in the preset storage database according to the changed authentication range;

[0128] Specifically, according to , determining the authentication range in the preset storage database after updating;

[0129] Wherein, ES2 is the authentication range in the preset storage database after updating, ES1 is the changed authentication range, ES0 is the original authentication range, CF6 is the authentication range input type, QD6 is the list verification result, 1 is passed, 0 is not passed, and YW6 is the business matching result;

[0130] Step 1307, updating the business cooperation type in the preset storage database according to the changed business cooperation type;

[0131] Specifically, according to , determining the business cooperation type in the preset storage database after updating;

[0132] Wherein, BT2 is the business cooperation type in the preset storage database after updating, BT1 is the business cooperation type after changing, BT0 is the original business cooperation type, CF7 is the business cooperation type input type, LX7 is the type verification result, 1 is passed, 0 is not passed, CT7 is the conflict verification result, and GL7 is the association verification result.

[0133] Step 1308, updating the cooperation duration in the preset storage database according to the cooperation duration after changing;

[0134] Specifically, according to , the cooperation duration in the preset storage database after updating is determined;

[0135] Wherein, BC2 is the cooperation duration in the preset storage database after updating, BC1 is the cooperation duration after changing, BC0 is the original cooperation duration, CF8 is the cooperation duration input type, and SZ8 is the numerical value legality verification result, 1 is passed, and 0 is not passed;

[0136] Step 1309, updating the transaction scale in the preset storage database according to the transaction scale after changing;

[0137] Specifically, according to , the transaction scale in the preset storage database after updating is determined;

[0138] Wherein, BV2 is the transaction scale in the preset storage database after updating, BV1 is the transaction scale after changing, BV0 is the original transaction scale, CF9 is the transaction scale input type, GS9 is the format verification result, 1 is passed, and 0 is not passed, and GL9 is the association verification result.

[0139] In this example, the precision and controllability of the updating process are realized. For each change feature (such as customer identity, contact information, etc.), a dedicated update formula is designed, and the original data, change data and multiple verification results (format, authority, timeliness, etc.) are included in the update logic to ensure that only changes that pass all-dimensional verification can take effect. For example, customer identity update needs to pass three-dimensional verification of format, uniqueness and authority, effectively avoiding database pollution caused by incorrect data and unauthorized operations, and ensuring data accuracy and security.

[0140] Ensure the standardization and consistency of data updating. The unified formulaic updating mode eliminates the subjective randomness of manual operation, so that different types and sources of change data follow the same standard for updating. Whether the change comes from system automatic push or manual input, it needs to go through the preset verification process to ensure that the format, logic and validity of all data in the database remain consistent, providing a reliable foundation for subsequent data application.

[0141] A fine update verification system is constructed. Differentiated verification dimensions are designed according to the attribute differences of different characteristics: for example, the qualification characteristics focus on authoritative verification and timeliness, the business characteristics strengthen conflict verification and correlation verification, and the basic information characteristics focus on format and uniqueness. This classification verification mode not only meets the special requirements of various data, but also maximizes the reduction of update risks through multi-dimensional verification, realizes the organic unity of targeted prevention and control and comprehensive guarantee.

[0142] The dynamic management capability of the database is improved. The structured update process makes each change traceable (including the complete trajectory of the original value, the changed value, the verification result, etc.), facilitating post-auditing and problem troubleshooting. At the same time, the formula design makes it possible to automate the update, reducing the cost of manual intervention, enabling the database to quickly respond to various change requirements, maintaining the timeliness and vitality of the data, and providing strong support for dynamic decision-making of enterprises.

[0143] In an optional embodiment of the present application, in step 14, the change information of the preset storage database is output to the target object, including:

[0144] In step 141, at least one of the change information of the customer identity, the contact information, the industry to which the customer belongs, the enterprise qualification level, the validity period, the authentication range, the business cooperation type, the cooperation duration and the transaction scale in the preset storage database is output to the target object.

[0145] The change information includes at least one of the customer identity before and after the change, the contact information before and after the change, the industry to which the customer belongs before and after the change, the enterprise qualification level before and after the change, the validity period before and after the change, the authentication range before and after the change, the business cooperation type before and after the change, the cooperation duration before and after the change, and the transaction scale before and after the change.

[0146] Specifically, the change information of the customer identity (the customer identity before and after the change) is output to the enterprise internal administrator, the customer interface sales, the financial department and the enterprise interface person;

[0147] The change information of the contact information (the contact information before and after the change) is output to the enterprise interface person, the customer interface sales and the customer service department;

[0148] The change information of the industry to which the customer belongs (the industry to which the customer belongs before and after the change) is output to the market department, the product department, the customer interface sales and the enterprise interface person;

[0149] The change information of the enterprise qualification level (the enterprise qualification level before and after the change) is output to the audit compliance department, the business department, the procurement department and the enterprise interface person;

[0150] The change information of the validity period (the validity period before and after the change) is output to the risk control department, the customer interface sales and the legal department;

[0151] The change information of the authentication scope (the authentication scope before and after the change) is output to the quality department, the procurement department and the enterprise contact person;

[0152] The change information of the business cooperation type (the business cooperation type before and after the change) is output to the sales management department, the legal department, the financial department and the enterprise contact person;

[0153] The change information of the cooperation duration (the cooperation duration before and after the change) is output to the customer contact sales, the financial department, the operation department and the enterprise contact person;

[0154] The change information of the transaction scale (the transaction scale before and after the change) is output to the sales department, the financial department, the management layer and the enterprise contact person.

[0155] In this example, the accurate reach of information transmission is realized. According to the relevance of the functions of each department and the information demand, each type of change information is matched with a dedicated receiving object (such as contact information change synchronization to customer service and sales, qualification level change push to the audit compliance department), avoiding information flooding or mismatch, ensuring that relevant positions only receive change content directly related to their work, and improving information utilization efficiency.

[0156] Strengthen the cross-departmental collaborative response capability. Break the information barrier through the directional output mechanism, so that relevant departments involved in the same customer can synchronously obtain the change dynamics. For example, the business cooperation type change simultaneously reaches the sales, legal and financial departments, facilitating the coordinated adjustment of strategies at each link and avoiding work disconnection caused by information asymmetry.

[0157] Improve the timeliness of customer service and management. The change information is directly pushed to the customer contact post (such as sales, enterprise contact person), ensuring that front-line personnel first understand customer dynamics and quickly respond to demand changes (such as adjusting service level according to transaction scale change), enhancing customer experience and cooperation stickiness.

[0158] Reduce compliance risk and management cost. Sensitive information (such as qualification validity period, authentication scope change) is output to the risk control, legal and other regulatory departments, facilitating timely compliance verification; at the same time, irrelevant information transmission is reduced, the internal communication cost of the enterprise is reduced, and the information value is maximized.

[0159] Example 1

[0160] Example 1 provides a method for processing target material data, comprising:

[0161] Step 21, obtaining material data of target material:

[0162] Customer basic information: The customer's name, ID number, contact information, and industry classification were obtained through active collection and system interface verification.

[0163] Enterprise qualification information: The customer submitted the business license and software copyright qualification documents, and the validity period of the qualification was obtained through data source synchronization. The qualification level was supplemented through manual verification.

[0164] Business association information: Through internal business systems, it was learned that the customer's business cooperation type with the company was a software development project, the cooperation duration was 2 years, and the transaction scale was 500 million yuan. The accuracy of these information was confirmed through interactive behavior tracking.

[0165] Step 22: According to the data, determine the characteristics of the target data:

[0166] Customer basic information characteristics: The customer's identity was extracted as 123456789012345678 from the customer's basic information through the customer identity parsing function IdentityParser, the contact information was extracted as 13800138000 through the contact information parsing function ContactParser, and the industry classification was determined as information technology service industry through the industry classification function IndustryClassifier.

[0167] Enterprise qualification information characteristics: The enterprise qualification level was extracted as high-tech enterprise from the enterprise qualification information through the qualification level acquisition function GetQualificationLevel, the validity period was obtained as 5 years through the validity period acquisition function GetValidityPeriod, and the authentication scope was determined as software development related technology through the authentication scope acquisition function GetScope.

[0168] Business association information characteristics: The business cooperation type was determined as a software development project through the business type classification function ClassifyBusinessType, the cooperation duration was calculated as 2 years through the cooperation duration calculation function CalculateDuration, and the transaction scale was calculated as 500 million yuan through the transaction scale calculation function CalculateVolume.

[0169] Step 23: According to the characteristics of the data, obtain the preset storage database:

[0170] The customer identity identifier 123456789012345678 is used as a unique association key to bind the customer identity identifier, contact information 13800138000, industry information technology service industry, enterprise qualification level high-tech enterprise, effective period 5 years, certification scope software development related technology, business cooperation type software development project, cooperation duration 2 years, and transaction size 5 million yuan to form a complete customer file archive, and stored in the preset storage database;

[0171] Step 24, obtaining the data change data of the target data:

[0172] First change data: the customer actively reported the change of the contact information, the new contact information is 13900139000, and the system verification triggered the change of the customer identity identifier, which is changed to 987654321098765432;

[0173] Second change data: the expiration of the qualification triggered the update of the enterprise qualification information, and through data synchronization it was known that the enterprise qualification level was changed to double-soft enterprise, and the effective period was changed to 3 years;

[0174] Third change data: the business process automatically captured the change of the business cooperation type to software operation and maintenance service, and through regular data aggregation it was confirmed that the cooperation duration was changed to 3 years and the transaction size was changed to 300,000 yuan;

[0175] Step 25, according to the data change data, determining the data change characteristics of the target data:

[0176] Customer basic information change characteristics: after the change, the customer identity identifier is 987654321098765432, and the changed contact information is 13900139000:

[0177] Enterprise qualification information change characteristics: after the change, the enterprise qualification level is double-soft enterprise, and the changed effective period is 3 years:

[0178] Business association information change characteristics: after the change, the business cooperation type is software operation and maintenance service, the cooperation duration is 3 years, and the transaction size is 300,000 yuan;

[0179] Step 26, updating the preset storage database according to the data change characteristics:

[0180] Customer identity identifier update: according to the changed customer identity identifier 987654321098765432, after the format verification, uniqueness verification and permission verification processes, the customer identity identifier in the preset storage database is updated;

[0181] Contact information update: according to the changed contact information 13900139000, after the format verification and SMS verification check process, the contact information in the preset storage database is updated;

[0182] Enterprise qualification level update: according to the changed enterprise qualification level double-soft enterprise, after the grade system verification, authoritative verification and correlation verification process, the enterprise qualification level in the preset storage database is updated;

[0183] Step 27, output the change information of the preset storage database to the target object:

[0184] Change information of customer identity: output to enterprise internal administrator, customer interface sales, financial department and enterprise interface person;

[0185] Change information of contact information: output to enterprise interface person, customer interface sales and customer service department;

[0186] Change information of enterprise qualification level: output to audit compliance department, business department, procurement department and enterprise interface person;

[0187] Change information of business cooperation type: output to sales management department, legal department, financial department and enterprise interface person;

[0188] Change information of cooperation time and transaction scale: output to customer interface sales, financial department, operation department and enterprise interface person.

[0189] The present application breaks the traditional static storage limit in data management, realizes dynamic tracking by changing data acquisition-feature determination-database update closed loop, ensures real-time fresh data, and at the same time takes customer identity as the core, integrates three dimensions and nine features, solves the problem of information fragmentation, and forms a complete customer file.

[0190] In terms of data quality, the function is extracted (such as the IdentityParser function to get the identity) to realize the standardization of feature extraction, eliminate artificial bias; when updating, multi-dimensional verification is set for each feature (such as qualification level needs authoritative verification, contact information needs SMS verification), to prevent error data and ensure data accuracy and safety.

[0191] In terms of business cooperation and customer service, the change information is accurately pushed according to the needs of different departments (such as qualification change to compliance department, contact information change to customer service), which breaks the information barrier and helps cross-department cooperation; front-line staff can get real-time customer dynamics and actively respond (such as reminding the expiration of qualification, adjusting service according to transaction scale), which improves customer loyalty.

[0192] The operation management end automatically processes to reduce labor cost, and directional information transmission reduces communication cost; sensitive information pushes risk control and legal departments, combined with change traceability, reduces compliance and operational risk, and finally converts data processing into core capabilities supporting decision-making, optimizing services, reducing costs and controlling risks.

[0193] As Figure 2 shown, the embodiment of the application also provides a target data processing device 20, comprising:

[0194] The acquisition module 21 is configured to acquire data change data of the target data.

[0195] The processing module 22 is configured to determine data change characteristics of the target data according to the data change data, update a preset storage database according to the data change characteristics, and output change information of the preset storage database to a target object.

[0196] Optionally, the data includes customer basic information, enterprise qualification information, and business association information.

[0197] According to the data, the data characteristics of the target data are determined, including:

[0198] According to the customer basic information, the customer identity, contact information, and industry of the target data are determined.

[0199] According to the enterprise qualification information, the enterprise qualification level, validity period, and authentication range of the target data are determined.

[0200] According to the business association information, the business cooperation type, cooperation duration, and transaction size of the target data are determined.

[0201] The data characteristics include at least one of the customer identity, contact information, industry, enterprise qualification level, validity period, authentication range, business cooperation type, cooperation duration, and transaction size.

[0202] Optionally, according to the data characteristics, the preset storage database is obtained, including:

[0203] The customer identity, contact information, industry, enterprise qualification level, validity period, authentication range, business cooperation type, cooperation duration, and transaction size are associated and stored to obtain the preset storage database.

[0204] Optionally, the data change data comprises: first change data of customer basic information, second change data of enterprise qualification information, and third change data of business association information.

[0205] According to the data change data, determine the data change characteristics of the target data, comprising:

[0206] According to the first change data, determine the changed customer identity, changed contact information and changed industry of the target data;

[0207] According to the second change data, determine the changed enterprise qualification level, changed validity period and changed authentication range of the target data;

[0208] According to the third change data, determine the changed business cooperation type, changed cooperation time length and changed transaction scale of the target data;

[0209] The data change characteristics include at least one of the changed customer identity, changed contact information, changed industry, changed enterprise qualification level, changed validity period, changed authentication range, changed business cooperation type, changed cooperation time length and changed transaction scale.

[0210] Optionally, according to the data change characteristics, update the preset storage database, comprising:

[0211] According to the changed customer identity, update the customer identity in the preset storage database;

[0212] According to the changed contact information, update the contact information in the preset storage database;

[0213] According to the changed industry, update the industry in the preset storage database;

[0214] According to the changed enterprise qualification level, update the enterprise qualification level in the preset storage database;

[0215] According to the changed validity period, update the validity period in the preset storage database;

[0216] According to the changed authentication range, update the authentication range in the preset storage database;

[0217] According to the changed business cooperation type, update the business cooperation type in the preset storage database;

[0218] According to the changed cooperation time length, update the cooperation time length in the preset storage database;

[0219] According to the changed transaction scale, update the transaction scale in the preset storage database.

[0220] Optionally, outputting the change information of the preset storage database to a target object includes:

[0221] Output the change information of at least one of the customer identity, contact information, industry, enterprise qualification level, validity period, certification scope, business cooperation type, cooperation duration and transaction scale in the preset storage database to the target object.

[0222] Optionally, the change information includes: at least one of the customer identity before and after the change, contact information before and after the change, industry before and after the change, enterprise qualification level before and after the change, validity period before and after the change, certification scope before and after the change, business cooperation type before and after the change, cooperation duration before and after the change, and transaction scale before and after the change.

[0223] It should be noted that this device is a device corresponding to the above method, and all implementation methods in the above method embodiment are applicable to this embodiment and can achieve the same technical effect.

[0224] An embodiment of the present invention further provides a computing device comprising: one or more processors; and a storage device for storing one or more programs, wherein when the one or more programs are executed by the one or more processors, the one or more processors implement the method described above. All implementations in the above method embodiments are applicable to this embodiment and can achieve the same technical effects.

[0225] An embodiment of the present invention further provides a computing device readable storage medium storing instructions that, when executed on a computing device, cause the computing device to execute the method described above. All implementations in the above method embodiments are applicable to this embodiment and can achieve the same technical effects.

[0226] Those skilled in the art will appreciate that the units and algorithm steps of each example described in conjunction with the embodiments disclosed in the present invention can be implemented in electronic hardware, or a combination of computing device software and electronic hardware. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. Professionals and technicians can use different methods to implement the described functions for each specific application, but such implementation should not be considered beyond the scope of the present invention.

[0227] Those skilled in the art will clearly understand that, for the convenience and brevity of description, the specific working processes of the systems, devices and units described above can refer to the corresponding processes in the aforementioned method embodiments and will not be repeated here.

[0228] In the embodiments of the present application, it should be understood that the disclosed apparatus and method can be implemented in other manners. For example, the embodiments of the apparatus described above are merely schematic, and the division of the units is merely logical function division, and there can be another division manner in actual implementation. For example, a plurality of units or components can be combined or integrated into another system, or some features can be ignored or not executed. In addition, the displayed or discussed mutual couplings or direct couplings or communication connections can be indirect couplings or communication connections through some interfaces, devices or units, and can be in electrical, mechanical or other forms.

[0229] The units described as separate components can or can not be physically separate, and the components shown as units can or can not be physical units, i.e., can be located in one place, or can be distributed on a plurality of network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the embodiments.

[0230] In addition, each functional unit in the various embodiments of the present application can be integrated in one processing unit, or each unit can be a physically independent unit, or two or more units can be integrated in one unit.

[0231] If the functions are implemented in the form of software function units and sold or used as independent products, they can be stored in a computer device readable storage medium. Based on such understanding, the technical solutions of the present application essentially or the part that contributes to the prior art or part of the technical solutions can be embodied in the form of a software product. The computer device software product is stored in a storage medium, and includes a number of instructions for causing a computer device (which can be a personal computer device, a server, or a network device, etc.) to execute all or part of the steps of the methods described in the various embodiments of the present application. The foregoing storage medium includes: U disk, mobile hard disk, ROM, RAM, magnetic disk or optical disk, and various storage media that can store program codes.

[0232] Moreover, it is pointed out that in the device and method of the present application, obviously, the components or steps can be decomposed and / or recombined. These decompositions and / or recombinations should be considered as equivalent solutions of the present application. Also, the steps of performing the above series of processes can naturally be executed in time sequence according to the order of description, but do not necessarily have to be executed in time sequence. Some steps can be executed in parallel or independently of each other. It can be understood by those skilled in the art that all or any steps or components of the method and device of the present application can be implemented in hardware, firmware, software, or a combination thereof, in any computing device (including a processor, a storage medium, etc.) or a network of computing devices, by using basic programming skills upon reading the description of the present application.

[0233] Therefore, the object of the present application can also be achieved by running a program or a set of programs on any computing device. The computing device can be a commonly known general-purpose device. Therefore, the object of the present application can also be achieved only by providing a program product containing program code for implementing the method or device. That is, such a program product also constitutes the present application, and a storage medium storing such a program product also constitutes the present application. Obviously, the storage medium can be any commonly known storage medium or any storage medium developed in the future. It is also pointed out that in the device and method of the present application, obviously, the components or steps can be decomposed and / or recombined. These decompositions and / or recombinations should be considered as equivalent solutions of the present application. Also, the steps of performing the above series of processes can naturally be executed in time sequence according to the order of description, but do not necessarily have to be executed in time sequence. Some steps can be executed in parallel or independently of each other.

[0234] The above is the preferred embodiment of the present application. It should be pointed out that for those skilled in the art, several improvements and refinements can be made without departing from the principles of the present application, and these improvements and refinements should also be considered as the protection scope of the present application.

Claims

1. A method for processing target data, characterized in that: include: Obtain data change data of target data; determining data change characteristics of target data based on the data change data; updating the preset storage database according to the data change characteristics; Outputting the change information of the preset storage database to the target object; The preset storage database is obtained through the following process: obtaining data of the target data; determining data characteristics of the target data based on the data; and obtaining the preset storage database based on the data characteristics.

2. The method for processing target data according to claim 1, wherein: The data include: basic customer information, enterprise qualification information and business related information; Determine the data characteristics of the target data based on the data, including: Determine the target customer's identity, contact information, and industry based on the customer's basic information; Determine the target enterprise qualification level, validity period and certification scope based on the enterprise qualification information; Determine the target profile's business cooperation type, cooperation duration, and transaction size based on the business association information; The data characteristics include: at least one of customer identity, contact information, industry, enterprise qualification level, validity period, certification scope, business cooperation type, cooperation duration and transaction scale.

3. The method for processing target data according to claim 2, wherein: According to the data characteristics, the preset storage database is obtained, including: The customer identity, contact information, industry, enterprise qualification level, validity period, certification scope, business cooperation type, cooperation duration and transaction scale are associated and stored to obtain the preset storage database.

4. The method for processing target data according to claim 3, wherein: The data change data includes: first change data of customer basic information, second change data of enterprise qualification information and third change data of business related information; Determining data change characteristics of target data based on the data change data includes: Determine the changed customer identity, changed contact information, and changed industry of the target profile based on the first changed data; Determine the target document's changed enterprise qualification level, changed validity period, and changed certification scope based on the second change data; Determining the target profile's business cooperation type, cooperation duration, and transaction size after the change based on the third change data; The data change characteristics include: at least one of the customer identity after the change, contact information after the change, industry after the change, enterprise qualification level after the change, validity period after the change, certification scope after the change, business cooperation type after the change, cooperation duration after the change and transaction scale after the change.

5. The method for processing target data according to claim 4, wherein: According to the data change characteristics, updating the preset storage database includes: Update the customer identity identifier in the preset storage database according to the changed customer identity identifier; Update the contact information in the preset storage database according to the changed contact information; According to the changed industry, update the industry in the preset storage database; According to the changed enterprise qualification level, the enterprise qualification level in the preset storage database is updated; Update the validity period in the preset storage database according to the changed validity period; Update the authentication scope in the preset storage database according to the changed authentication scope; Update the business cooperation type in the preset storage database according to the changed business cooperation type; Update the cooperation time in the preset storage database according to the changed cooperation time; The transaction scale in the preset storage database is updated according to the changed transaction scale.

6. The method for processing target data according to claim 5, wherein: Outputting the change information of the preset storage database to a target object includes: Output the change information of at least one of the customer identity, contact information, industry, enterprise qualification level, validity period, certification scope, business cooperation type, cooperation duration and transaction scale in the preset storage database to the target object.

7. The method for processing target data according to claim 6, wherein: The change information includes: at least one of the customer identity before and after the change, contact information before and after the change, industry before and after the change, enterprise qualification level before and after the change, validity period before and after the change, certification scope before and after the change, business cooperation type before and after the change, cooperation duration before and after the change, and transaction scale before and after the change.

8. A target data processing device, characterized in that: include: An acquisition module, used to acquire data change data of target data; A processing module is configured to determine data change characteristics of target data based on the data change data; update a preset storage database based on the data change characteristics; and output change information of the preset storage database to a target object; wherein the preset storage database is obtained by the following process: obtaining data data of the target data; determining data characteristics of the target data based on the data data; and obtaining the preset storage database based on the data characteristics.

9. A computing device, characterized in that include: one or more processors; A storage device for storing one or more programs, wherein when the one or more programs are executed by the one or more processors, the one or more processors implement the method according to any one of claims 1 to 7.

10. A computing device readable storage medium, characterized in that: The computing device readable storage medium stores a program, which implements the method according to any one of claims 1 to 7 when executed by a processor.

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