CN107153993A - The realization method and system of big data financial platform - Google Patents
The realization method and system of big data financial platform Download PDFInfo
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- CN107153993A CN107153993A CN201710256093.8A CN201710256093A CN107153993A CN 107153993 A CN107153993 A CN 107153993A CN 201710256093 A CN201710256093 A CN 201710256093A CN 107153993 A CN107153993 A CN 107153993A
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Abstract
The present invention proposes a kind of realization method and system of big data financial platform, and the implementation method of big data financial platform includes：Collect business data；According to business data, business indicators is calculated；Receive the access request to business indicators；According to access request, financial institution is allowed to access business indicators, the present invention can be connected enterprise with financial institution by big data, more than conditions of the enterprise is grasped from the financial statement of enterprise, and the financial data authenticity for the business data check enterprise that can also obtain employment, reference service is efficiently provided for financial institution, financial institution can be helped to feed back the operation information of enterprise in time, reduce the risk of financial institution, and by the way that the suitable financial product of oneself can be able to conveniently find the invention enables enterprise, the data produced by enterprise operation process are with regard to that can carry out fiduciary loan, more preferential service can also be enjoyed.
Description
Technical field
The present invention relates to enterprise's reference technical field, in particular to a kind of implementation method of big data financial platform
And system.
Background technology
Small-business finance difficulty is the phenomenon of current generally existing, on the one hand, be frequently encountered week in small enterprise's business process
Turn the situation of financial strain, it is relatively good to some business circumstances, but nothing can Mortgage assets enterprise, it is also difficult to from silver
Hang Deng financial institutions melt to fund.On the other hand, financial institution also is intended to be expanded in terms of small-business finance, but due to not
Understand enterprise management condition, the cost of reference is very high, can scheme with regard to no profit for the petty load of small enterprise.Therefore,
How efficient ditch circulation passage is provided as urgent problem to be solved for debtor and creditor.
The content of the invention
It is contemplated that at least solving one of technical problem present in prior art or correlation technique.
Therefore, it is an object of the present invention to propose a kind of implementation method of big data financial platform.
System is realized it is another object of the present invention to propose a kind of big data financial platform.
In view of this, according to one object of the present invention, it is proposed that a kind of implementation method of big data financial platform, bag
Include：Collect business data；According to business data, business indicators is calculated；Receive the access request to business indicators；Please according to accessing
Ask, it is allowed to which financial institution accesses business indicators.
The implementation method for the big data financial platform that the present invention is provided, receives the business data uploaded by enterprise, according to enterprise
Industry data carry out business indicators calculating, and allow access of the financial institution to business indicators, and the present invention can be by enterprise and gold
Melt mechanism to connect by big data, be more than grasping conditions of the enterprise, and the business number that can also obtain employment from the financial statement of enterprise
According to the financial data authenticity of verification enterprise, it is that financial institution efficiently provides reference service, financial institution can be helped timely
The operation information of enterprise is fed back, the risk of financial institution is reduced, and it is suitable by that can be able to conveniently find the invention enables enterprise
The financial product of oneself is closed, the data produced by enterprise operation process are with regard to that can carry out fiduciary loan, moreover it is possible to enjoy more preferential
Service.
According to the implementation method of the above-mentioned big data financial platform of the present invention, there can also be following technical characteristic：
In the above-mentioned technical solutions, it is preferable that collect business data, specifically include：Based on https agreements, according to default
Time collects business data.
It is most of not possess computer room because client is medium-sized and small enterprises in the technical scheme, generally by personal electricity
Brain runs financial software, therefore may be shut down at any time or the situation without network connection within a period of time in PC
Under, the transmission of business data is carried out based on https agreements, it is ensured that the security of business data.In addition, business data it is general with
The moon reports for unit, so most of reporting for business data is concentrated in some period, is given the correct time in client setting
Between when, it is ensured that call time difference in different enterprises, it is to avoid the pressure of some period of server is excessive.
In any of the above-described technical scheme, it is preferable that according to business data, the step of calculating business indicators specifically includes：
Data scrubbing is carried out to business data, format data is generated；Conversion is associated to format data, intermediate result is obtained；
Intermediate result is polymerize, business indicators is obtained.
In the technical scheme, the calculating process of business indicators is an ETL (Extract Transform Load, number
According to REPOSITORY TECHNOLOGY) data handling procedure, specially advanced row data scrubbing, generate format preliminary data, then closed
Join conversion operation, obtain intermediate result, finally intermediate result is polymerize, obtain business indicators.Business indicators calculating process
It is parallel between multiple calculating process, these calculating process or interdepends, so is dispatched using Azkaban as timed task
System, it is ensured that the sequencing of dependence, while also ensureing fully parallel, additionally it is possible to which friendly web interface is provided, it is convenient to hand over
Mutual mode, and failure notification and unsuccessfully retry.
In any of the above-described technical scheme, it is preferable that while business data is collected, in addition to：Record business data
Timestamp.
In the technical scheme, it is contemplated that client environment complexity, it is allowed to repeatedly upload, i.e., the enterprise reported to every
Timestamp under data record, what it is for the acquisition of identical business data is the business data of timestamp the latest.
In any of the above-described technical scheme, it is preferable that according to access request, it is allowed to which financial institution accesses the enterprise and referred to
Before mark, in addition to：Authentication is carried out to financial institution；When financial institution's authentication by after, it is allowed to financial institution visit
Ask the business indicators.
In the technical scheme, based on https agreements, business data is collected according to preset time, to business data once
Cleared up, associate conversion, polymerization after obtain business indicators, when financial institution wants to check business indicators, in advance to financial machine
Structure provides secret key pair, and the identity of financial institution is verified according to secret key pair, gold can be determined according to the identity of financial institution
Melt the scope for the business data that mechanism is able to access that, so as to ensure that the security of data.
In any of the above-described technical scheme, it is preferable that business data includes following a kind of or its combination：Enterprise operation number
According to, enterprise's financial data.
In the technical scheme, enterprise operation data, enterprise's financial data are obtained under business licenses.Pass through enterprise operation
Data, enterprise's financial data calculate business indicators, are made loans for financial institution to enterprise and provide important references.
In any of the above-described technical scheme, it is preferable that business indicators includes following a kind of or its combination：Enterprise's health refers to
Number, the scoring of business finance index, Enterprise Integrated.
In the technical scheme, pass through the business indicatorses such as health index, financial index, comprehensive grading so that business finance
Situation, management state carry out visual presentation, make financial institution borrow before, borrow after can grasp conditions of the enterprise in time.
According to another object of the present invention, it is proposed that a kind of big data financial platform realizes system, including：Data are received
Collect unit, for collecting business data；Processing unit, for according to business data, calculating business indicators；Receiving unit, is used for
Receive the access request to business indicators；Interactive unit, for according to access request, it is allowed to which financial institution accesses business indicators.
The big data financial platform that the present invention is provided realizes system, and data collection module receives the enterprise uploaded by enterprise
Data, processing unit carries out business indicators calculating according to business data, allows financial institution to business indicators by interactive unit
Access, the present invention can be connected enterprise with financial institution by big data, be more than slapping from the financial statement of enterprise
Conditions of the enterprise, and the financial data authenticity for the business data check enterprise that can also obtain employment are held, is that efficiently offer is levied for financial institution
Telecommunications services, can help financial institution to feed back the operation information of enterprise in time, reduce the risk of financial institution, and pass through this hair
Bright to enable enterprise to be able to conveniently find the suitable financial product of oneself, the data produced by enterprise operation process are with regard to that can carry out
Fiduciary loan, moreover it is possible to enjoy more preferential service.
System is realized according to the above-mentioned big data financial platform of the present invention, there can also be following technical characteristic：
In the above-mentioned technical solutions, it is preferable that data collection module, specifically for：Based on https agreements, according to default
Time collects business data.
It is most of not possess computer room because client is medium-sized and small enterprises in the technical scheme, generally by personal electricity
Brain runs financial software, therefore may be shut down at any time or the situation without network connection within a period of time in PC
Under, data collection module carries out the transmission of business data based on https agreements, it is ensured that the security of business data.In addition, enterprise
Industry data are typically reported in units of the moon, so most of reporting for business data is concentrated in some period, in client
When being called time in the setting of end, it is ensured that call time difference in different enterprises, it is to avoid the pressure mistake of some period of server
Greatly.
In any of the above-described technical scheme, it is preferable that processing unit, specifically for：Data scrubbing is carried out to business data,
Generate format data；Conversion is associated to format data, intermediate result is obtained；Intermediate result is polymerize, obtained
Business indicators.
In the technical scheme, the calculating process of business indicators is an ETL data handling procedure, specially advanced line number
According to cleaning, the preliminary data formatted is generated, conversion operation is then associated, intermediate result is obtained, finally to intermediate result
It is polymerize, obtains business indicators.Business indicators calculating process is parallel or phase between multiple calculating process, these calculating process
Mutually rely on, so dispatching system as timed task using Azkaban, it is ensured that the sequencing of dependence, while also ensureing abundant
Ground is parallel, additionally it is possible to provides friendly web interface, convenient interactive mode, and failure notification and unsuccessfully retries.
In any of the above-described technical scheme, it is preferable that also include：Recording unit, the timestamp for recording business data.
In the technical scheme, it is contemplated that client environment complexity, it is allowed to repeatedly upload, by recording unit to every
The business data reported records timestamp, and what it is for the acquisition of identical business data is the business data of timestamp the latest.
In any of the above-described technical scheme, it is preferable that also include：Authentication unit, is tested for carrying out identity to financial institution
Card；Interactive unit, be additionally operable to when financial institution's authentication by after, it is allowed to financial institution access business indicators.
In the technical scheme, based on https agreements, business data is collected according to preset time, to business data once
Cleared up, associate conversion, polymerization after obtain business indicators, when financial institution wants to check business indicators, in advance to financial machine
Structure provides secret key pair, the identity of financial institution is verified according to secret key pair, authentication unit can according to the identity of financial institution
To determine the scope for the business data that financial institution is able to access that, so as to ensure that the security of data.
In any of the above-described technical scheme, it is preferable that business data includes following a kind of or its combination：Enterprise operation number
According to, enterprise's financial data.
In the technical scheme, enterprise operation data, enterprise's financial data are obtained under business licenses.Pass through enterprise operation
Data, enterprise's financial data calculate business indicators, are made loans for financial institution to enterprise and provide important references.
In any of the above-described technical scheme, it is preferable that business indicators includes following a kind of or its combination：Enterprise's health refers to
Number, the scoring of business finance index, Enterprise Integrated.
In the technical scheme, pass through the business indicatorses such as health index, financial index, comprehensive grading so that business finance
Situation, management state carry out visual presentation, make financial institution borrow before, borrow after can grasp conditions of the enterprise in time.
The additional aspect and advantage of the present invention will become obvious in following description section, or pass through the practice of the present invention
Recognize.
Brief description of the drawings
The above-mentioned and/or additional aspect and advantage of the present invention will become from description of the accompanying drawings below to embodiment is combined
Substantially and be readily appreciated that, wherein：
Fig. 1 shows the schematic flow sheet of the implementation method of the big data financial platform of one embodiment of the present of invention；
Fig. 2 shows the schematic flow sheet of the implementation method of the big data financial platform of an alternative embodiment of the invention；
Fig. 3 a show the schematic flow sheet of the implementation method of the big data financial platform of yet another embodiment of the present invention；
Fig. 3 b show the schematic flow sheet of the implementation method of the big data financial platform of another embodiment of the present invention；
Fig. 4 a show the schematic block diagram for realizing system of the big data financial platform of one embodiment of the present of invention；
Fig. 4 b show the schematic block diagram for realizing system of the big data financial platform of an alternative embodiment of the invention；
Fig. 5 shows the schematic diagram for realizing system of the big data financial platform of the specific embodiment of the present invention.
Embodiment
It is below in conjunction with the accompanying drawings and specific real in order to be more clearly understood that the above objects, features and advantages of the present invention
Mode is applied the present invention is further described in detail.It should be noted that in the case where not conflicting, the implementation of the application
Feature in example and embodiment can be mutually combined.
Many details are elaborated in the following description to facilitate a thorough understanding of the present invention, still, the present invention may be used also
Implemented with being different from other modes described here using other, therefore, protection scope of the present invention is not limited to following public affairs
The limitation for the specific embodiment opened.
The embodiment of first aspect present invention, proposes a kind of implementation method of big data financial platform, and Fig. 1 shows this hair
The schematic flow sheet of the implementation method of the big data financial platform of bright one embodiment：
Step 102, business data is collected；
Step 104, according to business data, business indicators is calculated；
Step 106, the access request to business indicators is received；
Step 108, according to access request, it is allowed to which financial institution accesses business indicators.
The implementation method for the big data financial platform that the present invention is provided, receives the business data uploaded by enterprise, according to enterprise
Industry data carry out business indicators calculating, and allow access of the financial institution to business indicators, and the present invention can be by enterprise and gold
Melt mechanism to connect by big data, be more than grasping conditions of the enterprise, and the business number that can also obtain employment from the financial statement of enterprise
According to the financial data authenticity of verification enterprise, it is that financial institution efficiently provides reference service, financial institution can be helped timely
The operation information of enterprise is fed back, the risk of financial institution is reduced, and it is suitable by that can be able to conveniently find the invention enables enterprise
The financial product of oneself is closed, the data produced by enterprise operation process are with regard to that can carry out fiduciary loan, moreover it is possible to enjoy more preferential
Service.
Fig. 2 shows the schematic flow sheet of the implementation method of the big data financial platform of an alternative embodiment of the invention：
Step 202, based on https agreements, business data is collected according to preset time；
Step 204, according to business data, business indicators is calculated；
Step 206, the access request to business indicators is received；
Step 208, according to access request, it is allowed to which financial institution accesses business indicators.
In this embodiment, it is most of not possess computer room because client is medium-sized and small enterprises, generally by PC
Run financial software, therefore PC may shut down at any time or a period of time in without network connection in the case of,
The transmission of business data is carried out based on https agreements, it is ensured that the security of business data.In addition, business data is general with the moon
Report, so most of reporting for business data is concentrated in some period, called time in client setting for unit
When, it is ensured that call time difference in different enterprises, it is to avoid the pressure of some period of server is excessive.
Fig. 3 a show the schematic flow sheet of the implementation method of the big data financial platform of yet another embodiment of the present invention：
Step 302, based on https agreements, business data is collected according to preset time；
Step 304, data scrubbing is carried out to business data, generates format data；
Step 306, conversion is associated to format data, intermediate result is obtained；
Step 308, intermediate result is polymerize, obtains business indicators；
Step 310, the access request to business indicators is received；
Step 312, according to access request, it is allowed to which financial institution accesses business indicators.
In this embodiment, the calculating process of business indicators is an ETL (Extract Transform Load, data
REPOSITORY TECHNOLOGY) data handling procedure, specially advanced row data scrubbing, generate format preliminary data, be then associated
Conversion operation, obtains intermediate result, finally intermediate result is polymerize, obtain business indicators.Business indicators calculating process is
It is parallel or interdepend between multiple calculating process, these calculating process, so being used as the timed task scheduling to be using Azkaban
System, it is ensured that the sequencing of dependence, while also ensureing fully parallel, additionally it is possible to which friendly web interface, convenient interaction are provided
Mode, and failure notification and unsuccessfully retry.
In one embodiment of the invention, it is preferable that collect business data while, in addition to：Record enterprise's number
According to timestamp.
In this embodiment, it is contemplated that client environment complexity, it is allowed to repeatedly upload, i.e., the enterprise's number reported to every
According to timestamp is recorded, what it is for the acquisition of identical business data is the business data of timestamp the latest.
Fig. 3 b show the schematic flow sheet of the implementation method of the big data financial platform of another embodiment of the present invention：
Step 302, based on https agreements, business data is collected according to preset time；
Step 304, data scrubbing is carried out to business data, generates format data；
Step 306, conversion is associated to format data, intermediate result is obtained；
Step 308, intermediate result is polymerize, obtains business indicators；
Step 310, the access request to business indicators is received；
Step 314, authentication is carried out to financial institution；
Step 316, when financial institution's authentication by after, according to access request, it is allowed to financial institution access enterprise refer to
Mark.
In this embodiment, based on https agreements, business data is collected according to preset time, business data is once entered
Business indicators is obtained after row cleaning, association conversion, polymerization, when financial institution wants to check business indicators, in advance to financial institution
Secret key pair is provided, the identity of financial institution is verified according to secret key pair, finance can be determined according to the identity of financial institution
The scope for the business data that mechanism is able to access that, so as to ensure that the security of data.
In one embodiment of the invention, it is preferable that business data includes following a kind of or its combination：Enterprise operation number
According to, enterprise's financial data.
In this embodiment, enterprise operation data, enterprise's financial data are obtained under business licenses.Pass through enterprise operation number
Business indicators is calculated according to, enterprise's financial data, is made loans for financial institution to enterprise and important references is provided.
In one embodiment of the invention, it is preferable that business indicators includes following a kind of or its combination：Enterprise's health refers to
Number, the scoring of business finance index, Enterprise Integrated.
In this embodiment, the business indicatorses such as health index, financial index, comprehensive grading are passed through so that business finance feelings
Condition, management state carry out visual presentation, make financial institution borrow before, borrow after can grasp conditions of the enterprise in time.
The embodiment of second aspect of the present invention, propose a kind of big data financial platform realizes system 400, and Fig. 4 a are shown
The schematic block diagram for realizing system 400 of the big data financial platform of one embodiment of the present of invention：
Data collection module 402, for collecting business data；
Processing unit 404, for according to business data, calculating business indicators；
Receiving unit 406, for receiving the access request to business indicators；
Interactive unit 408, for according to access request, it is allowed to which financial institution accesses business indicators.
The big data financial platform that the present invention is provided realizes system 400, and data collection module 402 is received is uploaded by enterprise
Business data, processing unit 404 according to business data carry out business indicators calculating, financial machine is allowed by interactive unit 408
Access of the structure to business indicators, the present invention can be connected enterprise with financial institution by big data, be more than from enterprise
Financial statement grasp conditions of the enterprise, and the financial data authenticity for the business data check enterprise that can also obtain employment, be financial institution
It is efficient that reference service is provided, financial institution can be helped to feed back the operation information of enterprise in time, the risk of financial institution is reduced,
And by the way that the suitable financial product of oneself can be able to conveniently find the invention enables enterprise, produced by enterprise operation process
Data are with regard to that can carry out fiduciary loan, moreover it is possible to enjoy more preferential service.
In one embodiment of the invention, it is preferable that data collection module 402, specifically for：Based on https agreements,
Business data is collected according to preset time.
In this embodiment, it is most of not possess computer room because client is medium-sized and small enterprises, generally by PC
Run financial software, therefore PC may shut down at any time or a period of time in without network connection in the case of,
Data collection module carries out the transmission of business data based on https agreements, it is ensured that the security of business data.In addition, enterprise
Data are typically reported in units of the moon, so most of reporting for business data is concentrated in some period, in client
When being called time in setting, it is ensured that call time difference in different enterprises, it is to avoid the pressure of some period of server is excessive.
In one embodiment of the invention, it is preferable that processing unit 404, specifically for：Data are carried out to business data
Cleaning, generates format data；Conversion is associated to format data, intermediate result is obtained；Intermediate result is polymerize,
Obtain business indicators.
In this embodiment, the calculating process of business indicators is an ETL data handling procedure, specially advanced row data
Cleaning, generates the preliminary data formatted, is then associated conversion operation, obtains intermediate result, finally intermediate result is entered
Row polymerization, obtains business indicators.Business indicators calculating process is parallel or mutual between multiple calculating process, these calculating process
Rely on, so dispatching system as timed task using Azkaban, it is ensured that the sequencing of dependence, while also ensureing fully
Parallel, additionally it is possible to friendly web interface, convenient interactive mode, and failure notification are provided and unsuccessfully retried.
Fig. 4 b show the schematic block for realizing system 400 of the big data financial platform of an alternative embodiment of the invention
Figure：
Data collection module 402, for collecting business data；
Processing unit 404, for according to business data, calculating business indicators；
Receiving unit 406, for receiving the access request to business indicators；
Interactive unit 408, for according to access request, it is allowed to which financial institution accesses business indicators；
Recording unit 410, the timestamp for recording business data.
In this embodiment, it is contemplated that client environment complexity, it is allowed to repeatedly upload, by recording unit on every
The business data of report records timestamp, and what it is for the acquisition of identical business data is the business data of timestamp the latest.
In one embodiment of the invention, as shown in Figure 4 b, it is preferable that big data financial platform realizes system 400,
Also include：
Authentication unit 412, for carrying out authentication to financial institution；
Interactive unit 408, be additionally operable to when financial institution's authentication by after, according to access request, it is allowed to financial institution
Access business indicators.
In this embodiment, based on https agreements, business data is collected according to preset time, business data is once entered
Business indicators is obtained after row cleaning, association conversion, polymerization, when financial institution wants to check business indicators, in advance to financial institution
Secret key pair is provided, the identity of financial institution verified according to secret key pair, authentication unit 412 can according to the identity of financial institution
To determine the scope for the business data that financial institution is able to access that, so as to ensure that the security of data.
In one embodiment of the invention, it is preferable that business data includes following a kind of or its combination：Enterprise operation number
According to, enterprise's financial data.
In this embodiment, enterprise operation data, enterprise's financial data are obtained under business licenses.Pass through enterprise operation number
Business indicators is calculated according to, enterprise's financial data, is made loans for financial institution to enterprise and important references is provided.
In one embodiment of the invention, it is preferable that business indicators includes following a kind of or its combination：Enterprise's health refers to
Number, the scoring of business finance index, Enterprise Integrated.
In this embodiment, the business indicatorses such as health index, financial index, comprehensive grading are passed through so that business finance feelings
Condition, management state carry out visual presentation, make financial institution borrow before, borrow after can grasp conditions of the enterprise in time.
Describe the specific embodiment for realizing system of the big data financial platform of the present invention in detail with reference to Fig. 5：
One, Data Collections
1. data transfer mode：Because client is medium-sized and small enterprises, most of computer room for not possessing this enterprise, be usually by
PC runs financial software.This PC may occur can shut down at any time, or can not be connected within a period of time
The problem of network.Therefore as shown in figure 5, the data transfer at business end is based on https agreements, so as to ensure that Information Security.
And coffret ensures idempotence, and business end once sends data failure, can retransmit, not result in Data duplication.
2. data report mechanism：Enterprise's financial data is typically reported in units of the moon, so most of business data is reported
Time is concentrated in some day.When the present invention calls time in the setting of business end, it is ensured that call time difference in different enterprises, it is to avoid
The pressure of the server at some time point is excessive.The time point that computer may be set in enterprise simultaneously is that shutdown or network disconnect
State, so business end will preserve the state of reported result, each network will be checked after having got well, by the data of left over by history
Report.
Two, interface layers are designed
1. idempotence：In view of client environment complexity, the present invention allows data repeatedly to upload, namely every is reported
Data record under timestamp, access according to when, can take time the latest that for identical data.
2. message queue：Interface layer not data storage in itself, but as business end and the intermediate layer of kafka clusters, enter
Row data format check, plausibility check, and data are stamped into timestamp, it is subsequently sent to kafka clusters.
Three, data persistences
The data that kafka clusters are received need persistent storage, use logstash timings and are pulled to kafka clusters
Data, wherein logstash are the blog search processing framework of a lightweight, and store data into hdfs, wherein
Hdfs is hadoop distributed file systems.
Four, business indicatorses are calculated
1. calculation procedure：Business indicators calculating process is a typical ETL data handling procedure, is exactly briefly advanced
Row data scrubbing, generates the preliminary data formatted, is then associated conversion operation, intermediate result is obtained, finally to centre
As a result it is polymerize, obtains final business indicators data.The main unsoundness index of business indicators data, financial index, synthesis are commented
Grade.
2. timer-triggered scheduler：Business indicators calculating process is that have parallel between multiple calculating process, calculating process, is also had mutually
Rely on, so to ensure the sequencing relied on during design timed task, and ensure that task run can be fully parallel,
It is to reduce total run time.As shown in figure 5, the scheduling system of timed task uses Azkaban, Azkaban is except that can expire
Outside the demand being enough, additionally it is possible to which friendly web interface is provided, convenient interactive mode, and failure notification, unsuccessfully retry
Deng.
Five, are synchronous with financial institution data
Data-query interfaces are provided in the form of platform as shown in Figure 5, based on RBAC (Role Based Access
Control, access control based roles).Data permission roofing control is related to the row authority of data, row authority, in advance to gold
Melt mechanism and key pair is provided, can determine which data financial institution is able to access that according to the identity of financial institution, so as to ensure
The securities of data.
The present invention is calculated by data acquisition and big data, can be visualized business finance situation and management state
Displaying, and it is synchronous with financial institution and ensure that synchronous security to realize business data so that lender and loaning bill
Conditions of the enterprise can be grasped in time before the two-way choice of side, and financial institution's loan and after borrowing.
In the description of this specification, the description of term " one embodiment ", " some embodiments ", " specific embodiment " etc.
Mean that combining the embodiment or specific features, structure, material or the feature of example description is contained at least one reality of the invention
Apply in example or example.In this manual, identical embodiment or reality are not necessarily referring to the schematic representation of above-mentioned term
Example.Moreover, description specific features, structure, material or feature can in any one or more embodiments or example with
Suitable mode is combined.
The preferred embodiments of the present invention are the foregoing is only, are not intended to limit the invention, for the skill of this area
For art personnel, the present invention can have various modifications and variations.Within the spirit and principles of the invention, that is made any repaiies
Change, equivalent substitution, improvement etc., should be included in the scope of the protection.
Claims (14)
1. a kind of implementation method of big data financial platform, it is characterised in that including：
Collect business data；
According to the business data, business indicators is calculated；
Receive the access request to the business indicators；
According to the access request, it is allowed to which financial institution accesses the business indicators.
2. the implementation method of big data financial platform according to claim 1, it is characterised in that collect enterprise's number
According to specifically including：
Based on https agreements, the business data is collected according to preset time.
3. the implementation method of big data financial platform according to claim 1, it is characterised in that according to enterprise's number
According to the step of calculating the business indicators specifically includes：
Data scrubbing is carried out to the business data, format data is generated；
Conversion is associated to the format data, intermediate result is obtained；
The intermediate result is polymerize, the business indicators is obtained.
4. the implementation method of big data financial platform according to claim 1, it is characterised in that collecting enterprise's number
According to while, in addition to：
Record the timestamp of the business data.
5. the implementation method of big data financial platform according to claim 1, it is characterised in that asked according to the access
Ask, it is allowed to which the financial institution is accessed before the business indicators, in addition to：
Authentication is carried out to the financial institution；
When financial institution's authentication by after, it is allowed to the financial institution accesses the business indicators.
6. the implementation method of big data financial platform according to any one of claim 1 to 5, it is characterised in that described
Business data includes following a kind of or its combination：Enterprise operation data, enterprise's financial data.
7. the implementation method of big data financial platform according to any one of claim 1 to 5, it is characterised in that described
Business indicators includes following a kind of or its combination：Enterprise's health index, business finance index, Enterprise Integrated scoring.
8. a kind of big data financial platform realizes system, it is characterised in that including：
Data collection module, for collecting business data；
Processing unit, for according to the business data, calculating business indicators；
Receiving unit, for receiving the access request to the business indicators；
Interactive unit, for according to the access request, it is allowed to which financial institution accesses the business indicators.
9. big data financial platform according to claim 8 realizes system, it is characterised in that the Data Collection list
Member, specifically for：
Based on https agreements, the business data is collected according to preset time.
10. big data financial platform according to claim 8 realizes system, it is characterised in that the processing unit, tool
Body is used for：
Data scrubbing is carried out to the business data, format data is generated；
Conversion is associated to the format data, intermediate result is obtained；
The intermediate result is polymerize, the business indicators is obtained.
11. big data financial platform according to claim 8 realizes system, it is characterised in that also include：
Recording unit, the timestamp for recording the business data.
12. big data financial platform according to claim 8 realizes system, it is characterised in that also include：
Authentication unit, for carrying out authentication to the financial institution；
The interactive unit, be additionally operable to when financial institution's authentication by after, it is allowed to the financial institution accesses described
Business indicators.
13. big data financial platform according to any one of claim 8 to 12 realizes system, it is characterised in that institute
Stating business data includes following a kind of or its combination：Enterprise operation data, enterprise's financial data.
14. big data financial platform according to any one of claim 8 to 12 realizes system, it is characterised in that institute
Stating business indicators includes following a kind of or its combination：Enterprise's health index, business finance index, Enterprise Integrated scoring.
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