CN110648239A - Method and device for generating monitoring index and data monitoring system - Google Patents

Method and device for generating monitoring index and data monitoring system Download PDF

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CN110648239A
CN110648239A CN201910945557.5A CN201910945557A CN110648239A CN 110648239 A CN110648239 A CN 110648239A CN 201910945557 A CN201910945557 A CN 201910945557A CN 110648239 A CN110648239 A CN 110648239A
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monitoring
monitoring index
configuration unit
index
configuration
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CN110648239B (en
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崔海波
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China Everbright Bank Co Ltd
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China Everbright Bank Co Ltd
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Abstract

The application discloses a method and a device for generating monitoring indexes and a data monitoring system. Wherein, the method comprises the following steps: acquiring the type of a monitoring index to be generated, wherein the monitoring index is used for monitoring investment data of financial products; acquiring configuration units required by the generated type monitoring indexes from a plurality of configuration units, wherein the configuration units are minimum composition units of numerators and denominators of calculation formulas corresponding to the monitoring indexes; and generating a monitoring index to be generated according to the acquired configuration unit. The method and the device solve the technical problems of long development period of investment monitoring indexes, serious index redundancy problem and lack of expansibility of the conventional financial products.

Description

Method and device for generating monitoring index and data monitoring system
Technical Field
The application relates to the field of financial product investment monitoring, in particular to a method and a device for generating a monitoring index and a data monitoring system.
Background
The existing investment monitoring index development process of financial products comprises the following steps: the method has the advantages that requirements submitted by service personnel, requirements review by the technical personnel, development by the technical personnel, testing by the service personnel and formal commissioning of the system are on line, the time consumption is long, the speed of responding to the service requirements is slow, meanwhile, a great deal of effort is consumed by the service personnel, the technical development personnel, the technical testing personnel and related code walkers during each development, the cost is high, and particularly, the method has more repeated codes and low efficiency for a series of new indexes of the same type.
Aiming at the problems of long development period of investment monitoring indexes, serious index redundancy problem and lack of expansibility of the existing financial products, an effective solution is not provided at present.
Disclosure of Invention
The embodiment of the application provides a method and a device for generating a monitoring index and a data monitoring system, which are used for at least solving the technical problems of long development period of investment monitoring indexes, serious index redundancy problem and lack of expansibility of the existing financial products.
According to an aspect of an embodiment of the present application, a method for generating a monitoring index is provided, including: acquiring the type of a monitoring index to be generated, wherein the monitoring index is used for monitoring investment data of financial products; acquiring configuration units required by the generated type monitoring indexes from a plurality of configuration units, wherein the configuration units are minimum composition units of numerators and denominators of calculation formulas corresponding to the monitoring indexes; and generating a monitoring index to be generated according to the acquired configuration unit.
Optionally, the financial product comprises: bond products, stock products, fund products, non-standard asset products, derivative products and pension products.
Optionally, before the configuration unit required for generating the type of monitoring index is obtained from the plurality of configuration units, the method further includes: determining a plurality of configuration units by: determining a plurality of configuration units according to the common attribute and the personality attribute, wherein the common attribute comprises: the name of the configuration unit, the type of the configuration unit and the value of the configuration unit; the personality attributes include at least one of: basic information, detail item information, credit rating information, and running transaction information.
Optionally, after generating the monitoring index to be generated according to the acquired configuration unit, the method further includes: and acquiring information corresponding to the individual attributes according to a preset time interval.
Optionally, before generating the monitoring index to be generated according to the acquired configuration unit, the method further includes:
acquiring access logic of the configuration unit, wherein the access logic is used for representing an access rule of the configuration unit; judging whether the access logic is consistent with the preset access logic or not; and if the access logic is consistent with the preset access logic, determining the configuration unit as a target configuration unit.
Optionally, after generating the monitoring index to be generated according to the acquired configuration unit, the method further includes:
calculating investment data of the financial product corresponding to the monitoring index to be generated according to the monitoring index to be generated to obtain a monitoring index value of the financial product; comparing the monitoring index value with a preset threshold value, and determining whether the investment data of the financial product meets the standard or not according to the comparison result; and alarming the investment data which do not meet the standard, and prompting to process the investment data which do not meet the standard.
Optionally, after prompting processing of the non-standard investment data, the method further includes: detecting whether the processing of the investment data which does not meet the standard is finished; if the processing is not completed, the processing is prompted to continue on the investment data which does not meet the standard.
According to another aspect of the embodiments of the present application, there is also provided a data monitoring system, including: a monitoring module for executing the method of generating a monitoring index according to any one of claims 1 to 7; the database is used for acquiring and storing information corresponding to the individual attributes of the plurality of configuration units; a risk management module for monitoring the method of generating a monitoring indicator according to any one of claims 1 to 7.
According to another aspect of the embodiments of the present application, there is also provided a device for generating a monitoring index, including: the first acquisition module is used for acquiring the type of a monitoring index to be generated, and the monitoring index is used for monitoring investment data of a financial product; the second acquisition module is used for acquiring configuration units required by the generated type monitoring indexes from the plurality of configuration units, and the configuration units are minimum composition units of numerators and denominators of configuration formulas corresponding to the monitoring indexes; and the generating module is used for generating the monitoring index to be generated according to the acquired configuration unit.
Optionally, the apparatus further includes a determining module, configured to determine the plurality of configuration units by: determining a plurality of configuration units according to the common attribute and the personality attribute, wherein the common attribute comprises: the name of the configuration unit, the type of the configuration unit and the value of the configuration unit; the personality attributes include at least one of: basic information, detail item information, credit rating information, and running transaction information.
According to still another aspect of the embodiments of the present application, there is provided a storage medium, where the storage medium includes a stored program, and the program, when running, controls a device in which the storage medium is located to execute the above method for generating a monitoring index.
According to still another aspect of the embodiments of the present application, there is provided a processor, configured to execute a program, where the program executes the above method for generating a monitoring index when running.
In the embodiment of the application, the type of the monitoring index to be generated is obtained, and the monitoring index is used for monitoring the investment data of the financial product; acquiring configuration units required by the generated type monitoring indexes from a plurality of configuration units, wherein the configuration units are minimum composition units of numerators and denominators of calculation formulas corresponding to the monitoring indexes; according to the method for generating the monitoring index to be generated by the acquired configuration unit, the numerator denominator of the investment monitoring index of the financial product is decomposed to the lowest non-separable minimum particle unit (element factor) by adopting a cluster analysis mode, and then the element factor is built in a building block mode to generate the monitoring index of a new financial product, so that the purposes of operating on the foreground page of the system and generating the monitoring index required by the service in real time are achieved, thereby simplifying the investment monitoring index setting process of the financial product, effectively improving the service efficiency and enhancing the technical effect of user experience, and further solving the technical problems of long development cycle, serious index redundancy problem and lack of expansibility of the investment monitoring index of the existing financial product.
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The accompanying drawings, which are included to provide a further understanding of the application and are incorporated in and constitute a part of this application, illustrate embodiment(s) of the application and together with the description serve to explain the application and not to limit the application. In the drawings:
FIG. 1 is a flow chart of a method for generating a monitoring indicator according to an embodiment of the present application;
FIG. 2 is a block diagram of a data monitoring system according to an embodiment of the present application;
fig. 3 is a block diagram of a monitoring index generation apparatus according to an embodiment of the present application.
Detailed Description
In order to make the technical solutions better understood by those skilled in the art, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are only partial embodiments of the present application, but not all embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.
It should be noted that the terms "first," "second," and the like in the description and claims of this application and in the drawings described above are used for distinguishing between similar elements and not necessarily for describing a particular sequential or chronological order. It is to be understood that the data so used is interchangeable under appropriate circumstances such that the embodiments of the application described herein are capable of operation in sequences other than those illustrated or described herein. Furthermore, the terms "comprises," "comprising," and "having," and any variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed, but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.
According to an embodiment of the present application, there is provided an embodiment of a method for generating a monitoring index, where it is noted that the steps illustrated in the flowchart of the drawings may be performed in a computer system such as a set of computer executable instructions, and that while a logical order is illustrated in the flowchart, in some cases the steps illustrated or described may be performed in an order different than here.
Fig. 1 is a flowchart of a method for generating a monitoring index according to an embodiment of the present application, and as shown in fig. 1, the method includes the following steps:
and S102, acquiring the type of the monitoring index to be generated, wherein the monitoring index is used for monitoring the investment data of the financial product.
The monitoring index to be generated refers to the investment monitoring index of the financial product which needs to be newly set.
And step S104, acquiring a configuration unit required by the generated type of monitoring index from the plurality of configuration units, wherein the configuration unit is the minimum composition unit of the numerator and denominator of the calculation formula corresponding to the monitoring index.
The above configuration unit is to decompose the numerator or denominator of the investment supervision index of the financial product into the lowest irreducible minimum execution unit, which is referred to as a "meta-factor" in the embodiment of the present application.
The 'element factor' function in the embodiment of the application adopts the idea of cluster analysis, and by systematically researching the attributes of the investment monitoring indexes of the financial products in the market, the elements of the investment indexes of the financial products are firstly split into minimum execution units which cannot be split again, and the minimum units are 'element factors' which form the basis of the numerator or denominator of the investment monitoring indexes.
And step S106, generating a monitoring index to be generated according to the acquired configuration unit.
According to the characteristics of the meta-factors, the meta-factors are reclassified by combining with the product types related to the monitoring indexes, and six meta-factor templates of stocks, bonds, funds, pension, non-standard products and derivatives are constructed in a parameterized mode, so that investment monitoring indexes needed by business personnel are supported to be generated quickly, the setting process of the investment monitoring indexes is simplified fully, and the business efficiency is improved effectively.
Specifically, the existing financial products on the market are standardized, granulated and templated according to the attributes and characteristics of the existing financial products on the market, so that the existing financial products on the market can be classified on the one hand, and when new financial products appear, the system can quickly respond to the existing financial products and classify the existing financial products into the existing large class or create a new large class; on the other hand, the existing financial product is granulated, and then the upper-layer index is built based on the granulated element, the degree of freedom of the index creation mode from bottom to top is higher, the index creation process does not need the intervention of developers, and compared with the traditional flow of 'demand raising, technician development and production on-line', the time consumption is less, and the efficiency is higher. The building of the element factor building block provides infinite possibilities for setting investment monitoring indexes of financial products.
According to an optional embodiment of the present application, when step S106 is executed, the required meta-factor attribute is selected by the system foreground, and with the help of corresponding logical judgment, the monitoring index required by the service can be generated in real time, so that the service efficiency is greatly improved.
The investment monitoring index is formed by the association and combination of two or more factors, and the index table only stores the codes of the factors, so that the data redundancy is reduced; compared with the prior index calculation, the existing index result can show the calculation result of each factor related in the index according to the calculation formula of the current index, thereby providing a clear calculation process for the inspection problems of business personnel, reducing the operation and maintenance cost of the system and more timely and accurately showing the detailed monitoring index result.
Through the steps, by adopting a clustering analysis mode, the numerator denominator of the investment monitoring index of the financial product is decomposed to the lowest non-separable minimum particle unit (element factor), then building blocks are carried out on the element factor, and the monitoring index of the new financial product is generated, so that the purpose that the monitoring index required by the service can be operated on the foreground page of the system and can be generated in real time is achieved, thereby realizing the investment monitoring index setting process of simplifying the financial product, effectively improving the service efficiency, and enhancing the technical effect of user experience.
In some alternative embodiments of the present application, the financial products in step S102 cover six investment types of bond-type products, stock-type products, fund-type products, non-standard asset-type products, derivative-type products, and pension-type products.
According to an alternative embodiment of the present application, before performing step S104, a plurality of configuration units also need to be determined by: determining a plurality of configuration units according to the common attribute and the personality attribute, wherein the common attribute comprises: the name of the configuration unit, the type of the configuration unit and the value of the configuration unit; the personality attributes include at least one of: basic information, detail item information, credit rating information, and running transaction information.
The realization principle of the element factor is realized by initializing a template and parameters, wherein the template is divided into: bonds, stocks, funds, non-standard assets, derivatives, pension. And when the indexes are configured, configuring the corresponding templates, and rapidly configuring newly added investment supervision indexes by selecting the corresponding elements.
In the aspect of system design, by adopting logic storage of lowest-layer factor access, each factor marks a numerator or denominator, various factors can be flexibly combined, each index is associated and configured through an associated factor code, and redundant data is reduced. And the method can also support business personnel to configure the required monitoring meta-factors in real time in a template configuration mode, thereby greatly reducing the code development work of newly added factors and improving the overall development efficiency of the system.
The templates all have some common attributes, wherein the common attributes include: factor name, factor type, value field of the factor; the templates are all individual attributes except common attributes, and for the individual attributes, the templates are divided into basic information (from financial and exchange information data), detailed subjects (accounting and accounting basis standards) and current daily flow transaction information according to data sources.
Taking the template of the bond class meta-factor as an example, the basic information includes the type of the bond, the principal of financing, whether the bond is a private bond, whether the bond is a city investment bond, the trade market, the lock period, the reason for monitoring, the release scale, the remaining period, etc. The detailed subject section includes the market for the trade, the manner of issue, and whether or not interest accrues. The pipelining trading information comprises current-day pipelining trading information such as trading markets, securities in the market, new bonds under the network, bonds outside the market and the like.
The basic information of the template of stock class meta-factors includes stock plates, special handling classes (S, ST, etc.), harbor stocks, monitoring reasons, indexes, non-public indexes, stock classifications, A stock capital, total capital, remaining locked period, total market value, guild industry categories, etc. The detailed subject section includes the manner of distribution and the market of trade. The flow trading information comprises the flow of stock trading in the field and new stock off the network.
The basic information of the template of the fund type factor comprises fund type, syndrome classification, operation mode, basic metal property and the like. The flow trading information includes securities flow, open fund trading in the field.
The basic information of the template of the derivative class meta-factor includes the future varieties, whether the future varieties are single, the current date, the delivery date and the like. The pipelined transaction information includes accounting items, transaction attributes, and the like.
The basic information of the template of the non-standard asset class meta-factor is mainly used for accounting the financial data and is classified into trusts according to the subject attributes. Real estate, financing, insurance, infrastructure crediting, and the like.
Basic information of the template of the pension factor mainly relates to the property classification related attributes.
According to an alternative embodiment of the present application, after step S106 is executed, information corresponding to the personality attribute is further acquired according to a preset time interval.
According to an optional embodiment of the application, the financial product investment monitoring system is provided with a complete database system, and external information data provided by the financial exchange is automatically read every morning through task scheduling, namely, the individual attribute information of the configuration unit is automatically obtained through the database. By establishing a complete and expandable bottom database structure, the basic data can be guaranteed to be read and called in time, and the data required in the market is added into the basic data of the system in real time, so that the basis for generating the financial product investment monitoring index is provided.
In some optional embodiments of the embodiment of the present application, before the execution of step S106 is completed, access logic of the configuration unit is obtained, where the access logic is used to characterize an access rule of the configuration unit; judging whether the access logic is consistent with the preset access logic or not; and if the access logic is consistent with the preset access logic, determining the configuration unit as a target configuration unit.
According to an alternative embodiment of the present application, the above-mentioned access logic refers to an access rule of the configuration unit, for example, the market value of a certain bond in the asset evaluation table is accessed, and the variety information of the certain bond is determined by external market data.
When the parameter factors and the dynamic factors are added with the factors, the system provides a factor trial calculation function, the factor trial calculation function can be verified before the dynamic factors are added and stored, the factors existing in the system can also be verified, and the result is consistent with the actual index calculation.
By acquiring the configured factors and analyzing the corresponding access logics by the system, the access verification can be carried out on the logic correctness of the newly added factors or the configured factors in real time, the calculation result is displayed in real time, the verification is carried out through the access logic description of each factor displayed in the system, the accuracy of the factors is ensured, and the later maintenance cost of the system is reduced.
In an optional embodiment of the present application, after the step S106 is executed, the investment data of the financial product corresponding to the monitoring index to be generated is calculated according to the monitoring index to be generated, so as to obtain a monitoring index value of the financial product; comparing the monitoring index value with a preset threshold value, and determining whether the investment data of the financial product meets the standard or not according to the comparison result; and alarming the investment data which do not meet the standard, and prompting to process the investment data which do not meet the standard.
After the monitoring index is constructed, the system automatically calculates the monitoring index value of each financial product asset. The system automatically calculates the monitoring indexes through task scheduling every morning according to the preset monitoring indexes, automatically runs batch according to the settlement mode of the assets, automatically generates the task of each asset every day, and records the information of the reading state, the state of an evaluation table, the index calculation state, the time and the like of the current asset. For daily business, the automatic calculation of the monitoring index fully meets the business requirement, but sometimes needs to perform individual manual calculation on one or more indexes.
The system automatically calculates the monitoring indexes of the assets, carries out early warning and violation judgment according to the set threshold and the set direction, and automatically prompts service personnel to carry out follow-up processing on the early warning and violation index system.
According to an alternative embodiment of the present application, after prompting the processing of the non-compliant investment data, it is further required to detect whether the processing of the non-compliant investment data is completed; if the processing is not completed, the processing is prompted to continue on the investment data which does not meet the standard. For the index which is automatically judged to be violation or early warning, the monitoring personnel should process the index, and the system can automatically judge the processing condition of the monitoring personnel and remind the unprocessed part.
Fig. 2 is a block diagram of a data monitoring system according to an embodiment of the present application, and as shown in fig. 2, the system includes:
and the monitoring module 20 is configured to execute the above method for generating a monitoring index.
The problem that investment monitoring indexes, which disturb investment monitoring workers, are long in setting period, slow in response to business requirements and poor in expansibility is fundamentally solved by constructing the factor template through the monitoring module 20. The numerator denominator of the monitoring index is decomposed to the factor at the bottom layer, namely the element factor, building of the element factor in a building block mode is carried out, investment monitoring business personnel can operate on a foreground page of the system without carrying out a lengthy technical development index process, the index required by the business can be generated in real time, and the index building is rapid and efficient. Meanwhile, the method has good expansibility, can bring new financial tools and products in the market into a 'meta-factor' system regularly, reduces the redundant occupation of system investment supervision indexes, and has a scale effect.
And the database 22 is used for acquiring and storing information corresponding to the personality attributes of the plurality of configuration units.
The investment monitoring system in the embodiment of the application establishes complete market bottom-layer basic data, covers all granular market information, can automatically read the market information, and effectively improves the efficiency.
And the risk management module 24 is configured to monitor the generation method of the monitoring index.
The risk management module 24 is composed of an investment monitoring workbench and a management cockpit, and respectively monitors the business process and the management process.
The investment supervision workbench takes the service flow as a main line and covers the execution conditions of each service flow step, such as data reading condition, valuation table real-time condition, investment supervision index processing condition, violation result processing condition, violation data exporting and sending condition and the like, so that service personnel can operate each step according to system prompt, service managers can monitor service progress in real time, find potential risks of the service and ensure service compliance.
The management cockpit takes management as a main line, full-view-angle centralized display is carried out on business operation through a visual interface by utilizing the idea of behavior management, drilling type query is supported, a manager can acquire real-time operation conditions of all personnel, all assets and all processes at any time, and the efficiency and the accuracy of hosting operation management are improved. By monitoring the investment supervision operation conditions of the headquarter and each branch in real time, including branch task completion summary, branch index modification summary, branch violation processing summary and the like, the headquarter manager can master the service operation completion conditions and the service proficiency level of the headquarter and each branch in real time.
The risk management of the investment supervision full-service process is brought into the system, and the service process and the management process are respectively monitored by constructing an investment supervision workbench and a management cockpit, so that the full-process risk management of the investment supervision system is better realized, and the service operation risk is reduced.
Fig. 3 is a block diagram of a monitoring index generation apparatus according to an embodiment of the present application, and as shown in fig. 3, the apparatus includes:
the first obtaining module 30 is configured to obtain a type of a monitoring index to be generated, where the monitoring index is used to monitor investment data of a financial product. The monitoring index to be generated refers to the investment monitoring index of the financial product which needs to be newly set.
The second obtaining module 32 is configured to obtain a configuration unit required by the generated type of monitoring index from the multiple configuration units, where the configuration unit is a minimum constituent unit of a numerator and a denominator of a configuration formula corresponding to the monitoring index. The configuration unit is used for decomposing the numerator or denominator of the investment supervision index of the financial product into the lowest irreducible minimum execution unit, which is called as a 'meta-factor' in the embodiment of the application.
The 'element factor' function in the embodiment of the application adopts the idea of cluster analysis, and by systematically researching the attributes of the investment monitoring indexes of the financial products in the market, the elements of the investment indexes of the financial products are firstly split into minimum execution units which cannot be split again, and the minimum units are 'element factors' which form the basis of the numerator or denominator of the investment monitoring indexes.
And the generating module 34 is configured to generate a monitoring index to be generated according to the acquired configuration unit.
According to the characteristics of the meta-factors, the meta-factors are reclassified by combining with the product types related to the monitoring indexes, and six meta-factor templates of stocks, bonds, funds, pension, non-standard products and derivatives are constructed in a parameterized mode, so that investment monitoring indexes needed by business personnel are supported to be generated quickly, the setting process of the investment monitoring indexes is simplified fully, and the business efficiency is improved effectively.
Specifically, the existing financial products on the market are standardized, granulated and templated according to the attributes and characteristics of the existing financial products on the market, so that the existing financial products on the market can be classified on the one hand, and when new financial products appear, the system can quickly respond to the existing financial products and classify the existing financial products into the existing large class or create a new large class; on the other hand, the existing financial product is granulated, and then the upper-layer index is built based on the granulated element, the degree of freedom of the index creation mode from bottom to top is higher, the index creation process does not need the intervention of developers, and compared with the traditional flow of 'demand raising, technician development and production on-line', the time consumption is less, and the efficiency is higher. The building of the element factor building block provides infinite possibilities for setting investment monitoring indexes of financial products.
The required element factor attribute is selected by the system foreground, and the monitoring index required by the service can be generated in real time by the aid of corresponding logic judgment, so that the service efficiency is greatly improved.
The investment monitoring index is formed by the association and combination of two or more factors, and the index table only stores the codes of the factors, so that the data redundancy is reduced; compared with the prior index calculation, the existing index result can show the calculation result of each factor related in the index according to the calculation formula of the current index, thereby providing a clear calculation process for the inspection problems of business personnel, reducing the operation and maintenance cost of the system and more timely and accurately showing the detailed monitoring index result.
In an optional embodiment of the present application, the apparatus further comprises a determining module, configured to determine the plurality of configuration units by: determining a plurality of configuration units according to the common attribute and the personality attribute, wherein the common attribute comprises: the name of the configuration unit, the type of the configuration unit and the value of the configuration unit; the personality attributes include at least one of: basic information, detail item information, credit rating information, and running transaction information.
The realization principle of the element factor is realized by initializing a template and parameters, wherein the template is divided into: bonds, stocks, funds, non-standard assets, derivatives, pension. And when the indexes are configured, configuring the corresponding templates, and rapidly configuring newly added investment supervision indexes by selecting the corresponding elements.
In the aspect of system design, by adopting logic storage of lowest-layer factor access, each factor marks a numerator or denominator, various factors can be flexibly combined, each index is associated and configured through an associated factor code, and redundant data is reduced. And the method can also support business personnel to configure the required monitoring meta-factors in real time in a template configuration mode, thereby greatly reducing the code development work of newly added factors and improving the overall development efficiency of the system.
The templates all have some common attributes, wherein the common attributes include: factor name, factor type, value field of the factor; the templates are all individual attributes except common attributes, and for the individual attributes, the templates are divided into basic information (from financial and exchange information data), detailed subjects (accounting and accounting basis standards) and current daily flow transaction information according to data sources.
It should be noted that, reference may be made to the description related to the embodiment shown in fig. 1 for a preferred implementation of the embodiment shown in fig. 3, and details are not described here again.
The embodiment of the application also provides a storage medium, wherein the storage medium comprises a stored program, and when the program runs, the device where the storage medium is located is controlled to execute the above generation method of the monitoring index.
The storage medium stores a program for executing the following functions: acquiring the type of a monitoring index to be generated, wherein the monitoring index is used for monitoring investment data of financial products; acquiring configuration units required by the generated type monitoring indexes from a plurality of configuration units, wherein the configuration units are minimum composition units of numerators and denominators of calculation formulas corresponding to the monitoring indexes; and generating a monitoring index to be generated according to the acquired configuration unit.
The embodiment of the application further provides a processor, wherein the processor is used for running the program, and the method for generating the monitoring index is executed when the program runs.
The processor is used for running a program for executing the following functions: acquiring the type of a monitoring index to be generated, wherein the monitoring index is used for monitoring investment data of financial products; acquiring configuration units required by the generated type monitoring indexes from a plurality of configuration units, wherein the configuration units are minimum composition units of numerators and denominators of calculation formulas corresponding to the monitoring indexes; and generating a monitoring index to be generated according to the acquired configuration unit.
The above-mentioned serial numbers of the embodiments of the present application are merely for description and do not represent the merits of the embodiments.
In the above embodiments of the present application, the descriptions of the respective embodiments have respective emphasis, and for parts that are not described in detail in a certain embodiment, reference may be made to related descriptions of other embodiments.
In the embodiments provided in the present application, it should be understood that the disclosed technology can be implemented in other ways. The above-described embodiments of the apparatus are merely illustrative, and for example, the division of the units may be a logical division, and in actual implementation, there may be another division, for example, multiple units or components may be combined or integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection through some interfaces, units or modules, and may be in an electrical or other form.
The units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.
In addition, functional units in the embodiments of the present application may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit. The integrated unit can be realized in a form of hardware, and can also be realized in a form of a software functional unit.
The integrated unit, if implemented in the form of a software functional unit and sold or used as a stand-alone product, may be stored in a computer readable storage medium. Based on such understanding, the technical solution of the present application may be substantially implemented or contributed to by the prior art, or all or part of the technical solution may be embodied in a software product, which is stored in a storage medium and includes instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the method according to the embodiments of the present application. And the aforementioned storage medium includes: a U-disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a removable hard disk, a magnetic or optical disk, and other various media capable of storing program codes.
The foregoing is only a preferred embodiment of the present application and it should be noted that those skilled in the art can make several improvements and modifications without departing from the principle of the present application, and these improvements and modifications should also be considered as the protection scope of the present application.

Claims (12)

1. A method for generating a monitoring index is characterized by comprising the following steps:
acquiring the type of a monitoring index to be generated, wherein the monitoring index is used for monitoring investment data of financial products;
acquiring a configuration unit required for generating the type of monitoring index from a plurality of configuration units, wherein the configuration unit is a minimum composition unit of a numerator and a denominator of a calculation formula corresponding to the monitoring index;
and generating the monitoring index to be generated according to the acquired configuration unit.
2. The method of claim 1, wherein the financial product comprises: bond products, stock products, fund products, non-standard asset products, derivative products and pension products.
3. The method of claim 1, wherein prior to obtaining the configuration unit required to generate the type of monitoring metric from a plurality of configuration units, the method further comprises: determining the plurality of configuration units by:
determining the plurality of configuration units according to a common attribute and a personality attribute, wherein the common attribute comprises: the name of the configuration unit, the type of the configuration unit and the value of the configuration unit; the personality attributes include at least one of: basic information, detail item information, credit rating information, and running transaction information.
4. The method according to claim 3, wherein after the monitoring index to be generated is generated according to the acquired configuration unit, the method further comprises:
and acquiring information corresponding to the individual attributes according to a preset time interval.
5. The method according to claim 1, wherein before generating the monitoring index to be generated according to the acquired configuration unit, the method further comprises:
acquiring access logic of the configuration unit, wherein the access logic is used for representing an access rule of the configuration unit;
judging whether the access logic is consistent with a preset access logic or not;
and if the access logic is judged to be consistent with the preset access logic, determining that the configuration unit is a target configuration unit.
6. The method according to claim 1, wherein after the monitoring index to be generated is generated according to the acquired configuration unit, the method further comprises:
calculating investment data of the financial product corresponding to the monitoring index to be generated according to the monitoring index to be generated to obtain a monitoring index value of the financial product;
comparing the monitoring index value with a preset threshold value, and determining whether the investment data of the financial product meets the standard or not according to the comparison result;
and alarming the investment data which do not meet the standard, and prompting to process the investment data which do not meet the standard.
7. The method of claim 6, wherein after prompting processing of the investment data that does not meet a criterion, the method further comprises:
detecting whether processing of the investment data that does not meet a criterion is completed;
and if the processing is not finished, prompting to continue processing the investment data which does not meet the standard.
8. A system for monitoring data, comprising:
a monitoring module for executing the method of generating a monitoring index according to any one of claims 1 to 7;
the database is used for acquiring and storing information corresponding to the individual attributes of the plurality of configuration units;
a risk management module, configured to monitor the method for generating a monitoring indicator according to any one of claims 1 to 7.
9. A monitoring index generation device, comprising:
the system comprises a first acquisition module, a second acquisition module and a control module, wherein the first acquisition module is used for acquiring the type of a monitoring index to be generated, and the monitoring index is used for monitoring investment data of a financial product;
a second obtaining module, configured to obtain, from a plurality of configuration units, a configuration unit required to generate the type of monitoring index, where the configuration unit is a minimum constituent unit of a numerator and a denominator of a configuration formula corresponding to the monitoring index;
and the generating module is used for generating the monitoring index to be generated according to the acquired configuration unit.
10. The apparatus of claim 9, further comprising:
a determining module for determining the plurality of configuration units by:
determining the plurality of configuration units according to a common attribute and a personality attribute, wherein the common attribute comprises: the name of the configuration unit, the type of the configuration unit and the value of the configuration unit; the personality attributes include at least one of: basic information, detail item information, credit rating information, and running transaction information.
11. A storage medium, characterized in that the storage medium comprises a stored program, wherein the program controls a device in which the storage medium is located to execute the method for generating a monitoring index according to any one of claims 1 to 7 when running.
12. A processor, characterized in that the processor is configured to execute a program, wherein the program executes the method for generating a monitoring index according to any one of claims 1 to 7.
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