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A method and a system for deeply mining and analyzing non-performing asset information data

A technology for deep mining of asset information, applied in data processing applications, electronic digital data processing, digital data information retrieval, etc., can solve problems such as inability to extract relationships, inability to form association relationships, and difficulty in adapting asset management methods to complex needs, etc., to achieve Convenient query, clear and clear relationship between asset information

Pending Publication Date: 2019-04-05
广州广永投资管理有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] General asset management companies usually implement asset management by relying on the typesetting and design of Excel files to simply enter each asset information, including but not limited to asset financial information, creditor's rights statute of limitations information, property information, and litigation information etc., but involving multiple forms, it is impossible to form a systematic association relationship, and it is also impossible to extract and analyze the relationship between different asset packages such as associated debtors or associated mortgages
If you need to manage multiple assets as a whole package, conduct data analysis on the whole package, or conveniently and intuitively display the relationship between creditor's rights information and litigation information, or want to conduct unified management of various creditors and borrowers, you need to manage various In-depth data mining and analysis of asset information, the original asset management method is difficult to adapt to complex needs, and further technical means are needed to solve the problem

Method used

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  • A method and a system for deeply mining and analyzing non-performing asset information data
  • A method and a system for deeply mining and analyzing non-performing asset information data

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0061] Such as figure 1 As shown, it is one of the embodiments of the present invention, it is a kind of non-performing asset information data is carried out depth mining and analysis method, it comprises the following steps:

[0062] (1) Information on the withdrawn assets, including asset summary information, asset information, property information, loan contract information, guarantee contract information, litigation trial information, litigation management information, subject information, etc.,

[0063] (2) Through the business logic relationship, the mutual relationship between the above information is established.

[0064] The interrelationship between the asset information is based on the asset information, and the establishment

[0065] One-to-many relationship between asset summary information and asset information;

[0066] Many-to-many relationship between property information and asset information;

[0067] Many-to-many relationship between loan contract inform...

Embodiment 2

[0073] Such as figure 1 , figure 2 As shown, a system for deep mining and analysis of non-performing asset information data in this embodiment includes:

[0074] The main table module, including:

[0075] Asset summary information table, corresponding to asset summary information;

[0076] Asset information table, corresponding to asset information;

[0077] Property information table, corresponding to property information;

[0078] Loan contract table, corresponding to the loan contract information;

[0079] Guarantee contract form, corresponding to the guarantee contract information;

[0080] Litigation management table, corresponding to litigation management information;

[0081] Litigation trial table, corresponding to the litigation trial information;

[0082] Subject information table, corresponding to subject information.

[0083] Association relationship table module, including:

[0084] Asset property relationship table (acquisition_item_collateral_relation)...

Embodiment 3

[0106] From the perspective of asset project information, you can quickly query asset summary information (such as asset summary number, asset name, etc.), asset information (such as asset number, acquisition base date, principal balance, interest balance, total debt, etc.), guarantee information ( Such as guarantee type, etc.), litigation information (such as litigation status, etc.), property information (such as property number, property details, construction area, land area, guarantee amount corresponding to the collateral, seizure status, etc.), subject information (such as borrower, guarantor , mortgagor, etc.), and organize these data flexibly and effectively, so that the non-performing asset management framework is clear and controllable.

[0107] In the asset management system, according to the above design, modules such as asset summary list, property information list, asset information list, loan contract list, guarantee contract list, litigation management list, lit...

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Abstract

The invention discloses a method for deeply mining and analyzing non-performing asset information data. The method belongs to the field of non-performing asset data analysis, and comprises the following steps: (1) extracting asset information including asset summary information, asset information, property information, borrowing contract information, guarantee contract information, litigation trial information, litigation management information, main body information and the like; And (2) establishing a mutual relation among the information through a business logic relation. The invention further discloses a system for deeply mining and analyzing the non-performing asset information data. According to the invention, the many-to-many association relationship is adopted to realize the business logic requirements of non-performing assets, so that the asset information relationship is clearer, the relationship between the asset information and the main body information can be convenientlyinquired, and the relationship between a debtor and the amount of non-performing assets can be more quickly positioned.

Description

technical field [0001] The present invention relates to a data analysis method, in particular to a method and system for deep mining and analysis of non-performing asset information data. It belongs to the field of non-performing asset data analysis. Background technique [0002] The non-performing asset investment process is mainly divided into three stages: acquisition, management and disposal. The purpose of investment is to finally achieve smooth disposal. At the same time, in order to ensure the effective implementation of the disposal work, it is necessary to standardize the management of rights protection after the acquisition, establish relevant business processes and business systems, and carry out scientific and effective management of assets. It is necessary to establish a scientific and standardized system, combined with information technology, to process and analyze enormous information. [0003] General asset management companies usually implement asset manag...

Claims

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Application Information

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IPC IPC(8): G06Q40/02G06Q40/06G06Q50/18G06F16/2458
CPCG06Q40/02G06Q40/06G06Q50/18
Inventor 梁霞
Owner 广州广永投资管理有限公司
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