Client management system and method for financial leasing industry

By designing the customer management system in the financial leasing industry, the problems of irregular customer management, opaque sales process, insufficient data analysis capabilities and incomplete project supervision in the industry have been solved, and the standardization of customer management, transparency of sales process, and data analysis have been achieved. intelligence and comprehensive project supervision.

CN119477215APending Publication Date: 2025-02-18INSPUR SOFTWARE CO LTD
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Patent Information

Application Number
CN202411643391.9
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2024-11-18
Publication Date
2025-02-18

AI Technical Summary

Technical Problem

The financial leasing industry lacks a system that can achieve standardized customer management, transparent sales process, intelligent data analysis and comprehensive project supervision.

Method used

A customer management system for the financial leasing industry was designed, including customer information management module, channel information collection module, customer visit module, project management module, report analysis module, early warning docking module and permission management module, through these modules, we can realize customers' and comprehensive management and analysis of projects.

Benefits of technology

It has achieved standardization of customer management and transparency of sales processes, improved the intelligence level of data analysis, and achieved comprehensive project supervision through reporting and early warning mechanisms, improving the efficiency and controllability of marketing management.

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Abstract

The invention discloses a customer management system and method for a financial leasing industry, belongs to the technical field of financial information management, and aims to solve the technical problem of how to realize customer management standardization, sales process transparency, data analysis intelligence and terminal project omnibearing supervision of the financial leasing industry. According to the technical scheme, the system comprises a client information management module, a channel information acquisition module, a client visit module, a project management module, a report analysis module, an early warning connection module and an authority management module. The customer information management module is used for editing customer information data, searching and checking the customer information data and editing the customer information data at any time; the channel information acquisition module is used for editing channel information data, searching and checking the channel information data and modifying and updating the channel information data at any time; and the customer visiting module is used for selecting a customer or a channel to be visited, editing visiting record data, checking corresponding visiting customer data information and generating a visiting weekly report, a visiting monthly report and a visiting annual report.
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Description

Technical Field

[0001] The present invention relates to the technical field of financial information management, in particular to a customer management system and method for the financial leasing industry. Background Art

[0002] With the rapid development of information technology and the intensification of market competition, enterprises have higher and higher requirements for marketing management. An efficient and intelligent marketing management system can not only help enterprises better manage customer information and optimize marketing strategies, but also improve marketing performance and market competitiveness.

[0003] At present, there is no customer marketing system in the financial leasing industry that fully meets the characteristics of the financial leasing industry, especially in terms of customer manager visits, business opportunity / project management, channel management, operational data statistical analysis and early warning connection, etc., which have not yet been realized informatization and intelligence. As a result, the company faces some challenges and problems in marketing management, such as irregular customer information management, opaque sales process, insufficient data analysis capabilities, and incomplete scheduling of key projects.

[0004] Therefore, how to achieve standardized customer management, transparent sales process, intelligent data analysis and all-round supervision of terminal projects in the financial leasing industry is a technical problem that needs to be solved urgently. Summary of the invention

[0005] The technical task of the present invention is to provide a customer management system and method for the financial leasing industry to solve the problem of how to achieve standardized customer management, transparent sales process, intelligent data analysis and all-round supervision of terminal projects in the financial leasing industry.

[0006] The technical task of the present invention is achieved in the following manner: a customer management system for the financial leasing industry, the system comprising:

[0007] Customer information management module, used to edit customer information data, search and view customer information data, and edit customer information data at any time;

[0008] Channel information collection module, used to edit channel information data, search and view channel information data, and modify and update channel information data at any time;

[0009] The customer visit module is used to select customers or channels to be visited, edit visit record data, view corresponding visit customer data information, and generate weekly, monthly and annual visit reports;

[0010] The project management module is used to edit business opportunity information data, query and export business opportunity information, and after the project is established, the business opportunity officially becomes a project and the business opportunity information data is transferred to the core business system;

[0011] Report analysis module, used to query and generate statistical reports; statistical report information includes customer visit record data and project data at any time period and time point;

[0012] Early warning connection module, used to obtain customer data from the data query platform;

[0013] The authority management module is used to set corresponding authorities for account managers, department heads, operations managers and administrators.

[0014] Preferably, the customer information management module includes a customer data collection submodule, a blacklist and whitelist comparison submodule, and a customer data update submodule;

[0015] The customer data collection submodule is used to edit customer information data; among which, customer information data includes enterprise name, legal representative, social unified credit code, registration status, national standard industry, establishment date, business term, number of employees, number of people participating in social insurance, enterprise communication address, registered address, business scope, existing and / or new, contact person name, position, mobile phone number, first contact time, first cooperation time, customer level, main account manager, department, co-sponsor account manager and department;

[0016] The blacklist and whitelist comparison submodule is used to determine whether the currently entered customer is in the blacklist or whitelist after the account manager enters the social unified code: if it is in the blacklist, it will prompt that the corresponding customer cannot be entered and saved; if it is in the whitelist, the customer's basic information is automatically brought in and backfilled, and the account manager modifies the brought-in data;

[0017] The customer data update submodule is used to update the customer level according to subsequent customer visits.

[0018] Preferably, the channel information data includes channel name, channel area, channel type, channel industry, channel classification, number of cooperative projects, which types of customers are promoted, department, personnel, whether it is connected, internal reach level, channel reach level and whether it is activated.

[0019] Preferably, the visit record data includes the visiting personnel, department, other visiting personnel (non-company personnel, non-customers), meeting date, meeting method, meeting location, name of the visited unit, unit category, customer name, customer position, purpose of visit, meeting minutes, business needs, next work plan and photo evidence.

[0020] Preferably, the business opportunity information data includes the company name, business needs, latest progress tracking, potential project amount, term, leased items, project status, reason for abandonment, account manager, department and previous follow-up records.

[0021] Preferably, the customer data obtained from the data query platform includes unified social credit code, enterprise size, registered address, customer's former name, address, national standard industry classification, latest regional public budget revenue, latest regional GDP, latest regional debt ratio, entity rating, latest bond issuance amount, latest bond issuance term, latest bond issuance interest rate, outstanding bond size, outstanding bond number and bond issuance size within one year.

[0022] A customer management method for the financial leasing industry, the method is as follows:

[0023] Account managers edit customer information data and channel information data;

[0024] Account managers edit visit record data of customers and channels;

[0025] The account manager updates the account level and driver information, and defines the account level;

[0026] The account manager edits the opportunity information data and determines whether the corresponding opportunity should be converted into a project based on the customer level corresponding to the opportunity;

[0027] Department heads can automatically obtain weekly, monthly and annual visit reports of account managers through the report analysis module, which is used to manage and schedule the work status of all account managers.

[0028] Department heads and operation managers can automatically obtain project reports through the report analysis module to direct and schedule project progress;

[0029] Through the Early Warning Communication docking module, operation managers can obtain the comprehensive ratings and bond information of the project's corresponding customers in real time to assess the customer's risks. If the Early Warning Communication data shows that the customer has a risk warning, the corresponding business opportunities of the customer will be abandoned to achieve risk management of customers and projects.

[0030] As a preference, the customer levels are defined as follows:

[0031] If the customer has a clear intention to place an order and the order is likely to be placed within one year, it is defined as T1 level;

[0032] If the client has a clear intention to place an order, it is impossible to place an order within one year, which is defined as the T2 level;

[0033] If the customer's intention to place an order is unclear and needs further exploration, it is defined as the T3 level;

[0034] If the customer clearly has no intention to place an order, it is defined as level T4.

[0035] Preferably, whether the corresponding business opportunity is converted into a project is determined according to the customer level corresponding to the business opportunity as follows:

[0036] If the customer level corresponding to the business opportunity is T1, T2 or T3, the corresponding business opportunity will be converted into a project, and the business opportunity information data will be pushed to the core business system synchronously;

[0037] If the customer level corresponding to the business opportunity is T1, the corresponding business opportunity will be listed as a key project and will be followed up and scheduled;

[0038] If the customer level corresponding to the business opportunity is T4, further follow-up of the corresponding business opportunity will be abandoned.

[0039] Preferably, the customer information data includes the company name, legal representative, social unified credit code, registration status, national standard industry, establishment date, business term, number of employees, number of people participating in social insurance, company mailing address, registered address, business scope, existing and / or new, contact person name, position, mobile phone number, first contact time, first cooperation time, customer level, main account manager, department, co-sponsoring account manager and department;

[0040] Channel information data includes channel name, channel region, channel type, channel industry, channel classification, number of cooperative projects, which types of customers are promoted, department, personnel, whether it is connected, internal level, channel level and whether it is activated;

[0041] The visit record data includes the visitor, department, other visitors (non-company personnel, non-customers), meeting date, meeting method, meeting location, name of the visited unit, unit category, customer name, customer position, purpose of visit, meeting minutes, business needs, next work plan and photo evidence;

[0042] Business opportunity information data includes enterprise name, business needs, latest tracking progress, potential project amount, term, leased items, project status, reasons for abandonment, account manager, department and previous follow-up records;

[0043] The early warning data includes unified social credit code, enterprise size, registered address, customer's former name, address, national standard industry classification, latest regional public budget revenue, latest regional GDP, latest regional debt ratio, entity rating, latest bond issuance amount, latest bond issuance term, latest bond issuance interest rate, outstanding bond size, outstanding bond number and bond issuance size within one year.

[0044] The customer management system and method for the financial leasing industry of the present invention has the following advantages:

[0045] (1) The present invention provides a CRM for the financial leasing industry, which realizes the centralized storage, sharing and query of customer marketing information, helps company managers to grasp the progress of marketing activities in real time, find problems in time and make adjustments, thereby improving the transparency and controllability of marketing activities;

[0046] (ii) The present invention standardizes the customer and channel information management process through information technology, reduces the problems of information omission and repeated entry, ensures the accuracy and completeness of customer information, improves the work efficiency of account managers, and also provides the company with more reliable customer data support;

[0047] (III) Based on the attributes of the financial leasing industry, the present invention requires that the operation management department conduct statistical analysis of customer visits, business opportunities / projects, investment achievement, work progress plans, and customer changes every week and every month. The system automatically generates the required reports as the basic materials for the company's operation analysis meetings, providing data support for the company's operations and leadership decisions;

[0048] (iv) The present invention realizes the supervision and management of the daily work of the account manager by the department leader by recording and summarizing the account manager's visit information; at the same time, the operation management personnel realize the real-time operation analysis and data summary of the sales situation by exporting the account manager's visit weekly, monthly and annual reports;

[0049] (V) The present invention realizes the standardization of customer management and transparency of sales process at the company level through visits and information updates between customer managers and customers;

[0050] (VI) The present invention realizes the report statistics of project status through report management, which facilitates operation management personnel to regularly check the project progress and the completion of annual investment targets, conduct targeted follow-up and supervision of key projects, realize intelligent data analysis, and save the workload of operation management personnel in manually compiling reports;

[0051] (VII) The present invention is connected with the early warning data to achieve timely early warning of customer risks and effectively avoid project investment risks. BRIEF DESCRIPTION OF THE DRAWINGS

[0052] The present invention is further described below in conjunction with the accompanying drawings.

[0053] Attached Figure 1 Flowchart of the customer management approach for the financial leasing industry. DETAILED DESCRIPTION

[0054] The customer management system and method for the financial leasing industry of the present invention are described in detail below with reference to the accompanying drawings and specific embodiments.

[0055] Embodiment 1:

[0056] This embodiment provides a customer management system for the financial leasing industry, the system comprising:

[0057] Customer information management module, used to edit customer information data, search and view customer information data, and edit customer information data at any time;

[0058] Channel information collection module, used to edit channel information data, search and view channel information data, and modify and update channel information data at any time;

[0059] The customer visit module is used to select customers or channels to be visited, edit visit record data, view corresponding visit customer data information, and generate weekly, monthly and annual visit reports;

[0060] The project management module is used to edit business opportunity information data, query and export business opportunity information, and after the project is established, the business opportunity officially becomes a project and the business opportunity information data is transferred to the core business system;

[0061] Report analysis module, used to query and generate statistical reports; statistical report information includes customer visit record data and project data at any time period and time point;

[0062] Early warning connection module, used to obtain customer data from the data query platform;

[0063] The authority management module is used to set corresponding authorities for account managers, department heads, operation managers and administrators; among them, account managers have the authority to edit customer information, search and view customer information and modify customer information data at any time, and also have the authority to edit channel information data, search and view channel information data and modify and update channel information data at any time; they also have the authority to select customers or channels to be visited, edit visit record data, view corresponding visit customer data information and generate weekly visit reports, monthly visit reports and annual visit reports; they also have the authority to edit business opportunity information data and query and export business opportunity information, and after the project is established, the business opportunity officially becomes a project and the business opportunity information data is channeled to the core business system; they also have the authority to obtain customer data from the data query platform; account managers, department heads, operation managers and administrators have the authority to query and generate statistical reports.

[0064] The customer information management module in this embodiment includes a customer data collection submodule, a blacklist and whitelist comparison submodule, and a customer data update submodule;

[0065] The customer data collection submodule is used to edit customer information data; among which, customer information data includes enterprise name, legal representative, social unified credit code, registration status, national standard industry, establishment date, business term, number of employees, number of people participating in social insurance, enterprise communication address, registered address, business scope, existing and / or new, contact person name, position, mobile phone number, first contact time, first cooperation time, customer level, main account manager, department, co-sponsor account manager and department;

[0066] The blacklist and whitelist comparison submodule is used to determine whether the currently entered customer is in the blacklist or whitelist after the account manager enters the social unified code: if it is in the blacklist, it will prompt that the corresponding customer cannot be entered and saved; if it is in the whitelist, the customer's basic information is automatically brought in and backfilled, and the account manager modifies the brought-in data;

[0067] The customer data update submodule is used to update the customer level according to subsequent customer visits.

[0068] The channel information data in this embodiment includes channel name, channel area, channel type, channel industry, channel classification, number of cooperative projects, which types of customers are promoted, department, personnel, whether it is connected, internal arrival level, channel arrival level and whether it is activated.

[0069] The visit record data in this embodiment includes the visiting personnel, department, other visiting personnel (non-company personnel, non-customers), meeting date, meeting method, meeting location, visiting unit name, unit category, customer name, customer position, purpose of visit, meeting minutes, business needs, next work plan and photo evidence.

[0070] The business opportunity information data in this embodiment includes the company name, business needs, latest tracking progress, potential project amount, term, leased items, project status, reason for abandonment, account manager, department and previous follow-up records.

[0071] In this embodiment, the customer data obtained from the data query platform includes the unified social credit code, enterprise size, registered address, customer's former name, address, national standard industry classification, latest regional public budget revenue, latest regional GDP, latest regional debt ratio, entity rating, latest bond issuance amount, latest bond issuance term, latest bond issuance interest rate, outstanding bond size, outstanding bond number and bond issuance size within one year.

[0072] Embodiment 2:

[0073] As attached Figure 1 As shown, a customer management method for the financial leasing industry is described, and the method is specifically as follows:

[0074] S1. Account managers edit customer information data and channel information data;

[0075] S2. Account managers edit visit record data of customers and channels;

[0076] S3. The account manager updates the customer level and driver information, and defines the customer level;

[0077] S4. The account manager edits the business opportunity information data and determines whether the corresponding business opportunity is converted into a project based on the customer level corresponding to the business opportunity;

[0078] S5. Department heads can automatically obtain the account manager's weekly, monthly and annual visit reports through the report analysis module to manage and schedule the work status of all account managers;

[0079] S6. Department heads and operation managers can automatically obtain project reports through the report analysis module to direct and schedule project progress;

[0080] S7. Operation managers can obtain the comprehensive rating and bond information of the project's corresponding customers in real time through the early warning connection module to assess the customer's risk. If the early warning data shows that the customer has a risk warning, the corresponding business opportunity of the customer will be abandoned to achieve risk management of the customer and the project.

[0081] The definition of the customer level in step S3 of this embodiment is as follows:

[0082] If the customer has a clear intention to place an order and the order is likely to be placed within one year, it is defined as T1 level;

[0083] If the client has a clear intention to place an order, it is impossible to place an order within one year, which is defined as the T2 level;

[0084] If the customer's intention to place an order is unclear and needs further exploration, it is defined as the T3 level;

[0085] If the customer clearly has no intention to place an order, it is defined as level T4.

[0086] In step S4 of this embodiment, judging whether the corresponding business opportunity is converted into a project according to the customer level corresponding to the business opportunity is specifically as follows:

[0087] If the customer level corresponding to the business opportunity is T1, T2 or T3, the corresponding business opportunity will be converted into a project, and the business opportunity information data will be pushed to the core business system synchronously;

[0088] If the customer level corresponding to the business opportunity is T1, the corresponding business opportunity will be listed as a key project and will be followed up and scheduled;

[0089] If the customer level corresponding to the business opportunity is T4, further follow-up of the corresponding business opportunity will be abandoned.

[0090] The customer information data in step S1 of this embodiment includes the company name, legal representative, social unified credit code, registration status, national standard industry, establishment date, business term, number of employees, number of people participating in social insurance, company mailing address, registered address, business scope, existing and / or new additions, contact name, position, mobile phone number, time of first contact establishment, time of first cooperation, customer level, main account manager, department, co-sponsoring account manager and department.

[0091] The channel information data in step S1 of this embodiment includes channel name, channel area, channel type, channel industry, channel classification, number of cooperative projects, which types of customers are promoted, department, personnel, whether it is connected, internal arrival level, channel arrival level and whether it is activated.

[0092] The visit record data in step S2 of this embodiment includes the visitor, department, other visitors (non-company personnel, non-customers), meeting date, meeting method, meeting location, name of the visited unit, unit category, customer name, customer position, purpose of visit, meeting minutes, business requirements, next work plan and photo evidence.

[0093] The business opportunity information data in step S4 of this embodiment includes the company name, business needs, latest tracking progress, potential project amount, term, leased items, project status, reason for abandonment, account manager, department and previous follow-up records.

[0094] The early warning data in step S7 of this embodiment include unified social credit code, enterprise scale, registered address, customer's former name, address, national standard industry classification, latest regional public budget revenue, latest regional GDP, latest regional debt ratio, entity rating, latest bond issuance amount, latest bond issuance term, latest bond issuance interest rate%, outstanding bond scale, outstanding bond quantity and bond issuance scale within one year.

[0095] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit it. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or replace some or all of the technical features therein with equivalents. However, these modifications or replacements do not cause the essence of the corresponding technical solutions to deviate from the scope of the technical solutions of the embodiments of the present invention.

Claims

1. A customer management system for the financial leasing industry, characterized in that: The system includes: Customer information management module, used to edit customer information data, search and view customer information data, and edit customer information data at any time; Channel information collection module, used to edit channel information data, search and view channel information data, and modify and update channel information data at any time; The customer visit module is used to select customers or channels to be visited, edit visit record data, view corresponding visit customer data information, and generate weekly, monthly and annual visit reports; The project management module is used to edit business opportunity information data, query and export business opportunity information, and after the project is established, the business opportunity officially becomes a project and the business opportunity information data is transferred to the core business system; Report analysis module, used to query and generate statistical reports; statistical report information includes customer visit record data and project data at any time period and time point; Early warning connection module, used to obtain customer data from the data query platform; The authority management module is used to set corresponding authorities for account managers, department heads, operations managers and administrators.

2. The customer management system for the financial leasing industry according to claim 1, characterized in that: The customer information management module includes a customer data collection submodule, a blacklist and whitelist comparison submodule, and a customer data update submodule; The customer data collection submodule is used to edit customer information data; among which, customer information data includes enterprise name, legal representative, social unified credit code, registration status, national standard industry, establishment date, business term, number of employees, number of people participating in social insurance, enterprise communication address, registered address, business scope, existing and / or new, contact person name, position, mobile phone number, first contact time, first cooperation time, customer level, main account manager, department, co-sponsor account manager and department; The blacklist and whitelist comparison submodule is used to determine whether the currently entered customer is in the blacklist or whitelist after the account manager enters the social unified code: if it is in the blacklist, it will prompt that the corresponding customer cannot be entered and saved; if it is in the whitelist, the customer's basic information is automatically brought in and backfilled, and the account manager modifies the brought-in data; The customer data update submodule is used to update the customer level according to subsequent customer visits.

3. The customer management system for the financial leasing industry according to claim 1, characterized in that: Channel information data includes channel name, channel area, channel type, channel industry, channel classification, number of cooperative projects, which types of customers are promoted, department to which it belongs, personnel to which it belongs, whether it is connected, internal reach level, channel reach level and whether it is activated.

4. The customer management system for the financial leasing industry according to claim 1, characterized in that: The visit record data includes the visiting person, department, other visiting persons, meeting date, meeting method, meeting location, name of the visited unit, unit category, customer name, customer position, purpose of visit, meeting minutes, business needs, next work plan and photo evidence.

5. The customer management system for the financial leasing industry according to claim 1, characterized in that: Business opportunity information data includes company name, business needs, latest tracking progress, potential project amount, term, leased items, project status, reason for abandonment, account manager, department and previous follow-up records.

6. The customer management system for the financial leasing industry according to any one of claims 1 to 5, characterized in that: The customer data obtained from the data query platform include unified social credit code, enterprise size, registered address, customer's former name, address, national standard industry classification, latest regional public budget revenue, latest regional GDP, latest regional debt ratio, entity rating, latest bond issuance amount, latest bond issuance term, latest bond issuance interest rate, outstanding bond size, outstanding bond number and bond issuance size within one year.

7. A customer management method for the financial leasing industry, characterized in that: The method is as follows: Account managers edit customer information data and channel information data; Account managers edit visit records of customers and channels; The account manager updates the account level and driver information, and defines the account level; The account manager edits the opportunity information data and determines whether the corresponding opportunity should be converted into a project based on the customer level corresponding to the opportunity; Department heads can automatically obtain weekly, monthly and annual visit reports of account managers through the report analysis module, which is used to manage and schedule the work status of all account managers. Department heads and operation managers can automatically obtain project reports through the report analysis module to direct and schedule project progress; Through the Early Warning Communication docking module, operation managers can obtain the comprehensive rating and bond status of the project's corresponding customers in real time to assess the customer's risk. If the Early Warning Communication data shows that the customer has a risk warning, the corresponding business opportunity of the customer will be abandoned to achieve risk management of the customer and the project.

8. The customer management method for the financial leasing industry according to claim 7, characterized in that: The customer levels are defined as follows: If the customer has a clear intention to place an order and the order is likely to be placed within one year, it is defined as T1 level; If the client has a clear intention to place an order, it is impossible to place an order within one year, which is defined as the T2 level; If the customer's intention to place an order is unclear and needs further exploration, it is defined as the T3 level; If the customer clearly has no intention to place an order, it is defined as level T4.

9. The customer management method for the financial leasing industry according to claim 8, characterized in that: The details of determining whether a business opportunity should be converted into a project based on the customer level corresponding to the business opportunity are as follows: If the customer level corresponding to the business opportunity is T1, T2 or T3, the corresponding business opportunity will be converted into a project, and the business opportunity information data will be pushed to the core business system synchronously; If the customer level corresponding to the business opportunity is T1, the corresponding business opportunity will be listed as a key project and will be followed up and scheduled; If the customer level corresponding to the business opportunity is T4, further follow-up of the corresponding business opportunity will be abandoned.

10. The customer management method for the financial leasing industry according to claim 7, characterized in that: Customer information data includes company name, legal representative, unified social credit code, registration status, national standard industry, establishment date, business term, number of employees, number of people participating in social insurance, company mailing address, registered address, business scope, existing and / or new, contact person name, position, mobile phone number, first contact time, first cooperation time, customer level, main account manager, department, co-sponsoring account manager and department; Channel information data includes channel name, channel region, channel type, channel industry, channel classification, number of cooperative projects, which types of customers are promoted, department, personnel, whether it is connected, internal level, channel level and whether it is activated; The visit record data includes the visitor, department, other visitors, meeting date, meeting method, meeting location, name of the visited unit, unit category, customer name, customer position, purpose of visit, meeting minutes, business needs, next work plan and photo evidence; Business opportunity information data includes enterprise name, business needs, latest tracking progress, potential project amount, term, leased items, project status, reasons for abandonment, account manager, department and previous follow-up records; The early warning data includes unified social credit code, enterprise size, registered address, customer's former name, address, national standard industry classification, latest regional public budget revenue, latest regional GDP, latest regional debt ratio, entity rating, latest bond issuance amount, latest bond issuance term, latest bond issuance interest rate, outstanding bond size, outstanding bond number and bond issuance size within one year.

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