CN108399566A - A kind of data processing method and terminal - Google Patents
A kind of data processing method and terminal Download PDFInfo
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- CN108399566A CN108399566A CN201810095407.5A CN201810095407A CN108399566A CN 108399566 A CN108399566 A CN 108399566A CN 201810095407 A CN201810095407 A CN 201810095407A CN 108399566 A CN108399566 A CN 108399566A
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Abstract
The embodiment of the invention discloses a kind of data processing method and terminals, wherein this method includes：Obtain merchandise news and the first repayment schedule that measuring and calculating instruction carries；The merchandise news includes commodity sign, and first repayment schedule includes at least following any one or multinomial：The down payment ratio of setting, the issue of setting, setting interest rate；The first kind attribute data after the completion of the corresponding target loan commodity history of the commodity sign is calculated is counted according to first repayment schedule, and analyzes to obtain first object parameter according to the first kind attribute data；Results of measuring is calculated using the first object parameter；The results of measuring includes the second repayment schedule；Export the results of measuring.Using the present invention, the property of can refer to for the results of measuring that the measuring and calculating stage obtains can be improved.
Description
Technical field
The present invention relates to field of computer technology more particularly to a kind of data processing methods and terminal.
Background technology
Traditional consumption finance is directed to the modern finance method of service that each stratum consumer provides consumptive loan.With interconnection
The development of net, internet finance are also come into being.Internet finance refer to provided the consumer with by internet it is related to consumption
The finance activities such as payment, savings, financing, credit and risk management.Currently, common internet consumer finance product is main
It is divided into cash pattern and pays out pattern.Cash pattern refers to consumer finance service provider directly by loan origination to consumer,
By oneself paying retailer when consumer spending.The pattern of paying out refers to that consumer finance service provider consumes in consumer
When direct payment to retailer.
Usually, during the business bill of lading, system generally in measuring and calculating stage, tentative calculation stage and can calculate the stage as use
Family calculates separately out the refund data about loan commodity, such as monthly repayment amount.However, since the above three stage is calculating
Provide a loan commodity refund data when referenced factor exist it is different, such as calculate the stage can refer to the total amount of the loan commodity with
And issue, to calculate refund data, tentative calculation service can introduce the expense of Additional Services to calculate refund data, and the accounting stage can draw
Data in terms of the credit of access customer account for, this results in the practical refund data that the accounting stage obtains to be obtained with the measuring and calculating stage
To refund data there are larger differences.
Invention content
Technical problem to be solved of the embodiment of the present invention is, provides a kind of data processing method and terminal, Ke Yiti
The property of can refer to for the results of measuring that the high measuring and calculating stage obtains.
In a first aspect, an embodiment of the present invention provides a kind of data processing methods, including：
Obtain merchandise news and the first repayment schedule that measuring and calculating instruction carries；The merchandise news includes commodity sign,
First repayment schedule includes at least following any one or multinomial：The down payment ratio of setting, the issue of setting, setting
Interest rate；
The corresponding target loan commodity history of the commodity sign, which is counted, according to first repayment schedule calculates completion
First kind attribute data afterwards, and analyze to obtain first object parameter according to the first kind attribute data；
Results of measuring is calculated using the first object parameter；The results of measuring includes the second repayment schedule；
Export the results of measuring.
Second aspect, an embodiment of the present invention provides a kind of terminal, the terminal includes for executing such as first aspect institute
The unit for the method stated.
The third aspect, an embodiment of the present invention provides another terminal, including processor, input equipment, output equipment and
Memory, the processor, input equipment, output equipment and memory are connected with each other, wherein the memory is based on storing
Calculation machine program, the computer program include program instruction, and the processor is configured for calling described program instruction, executes
Method as described in relation to the first aspect.
Fourth aspect, an embodiment of the present invention provides a kind of computer readable storage medium, the computer-readable storage
It includes program instruction that media storage, which has computer program, the computer program, and described program instructs when being executed by a processor
Make the method for the processor execution as described in relation to the first aspect.
As it can be seen that terminal can determine first after the completion of target loan commodity history is calculated according to the first repayment schedule
Generic attribute data, and analyze to obtain first object parameter according to the first kind attribute data, with according to the first object parameter
Results of measuring is calculated and exports, so that the property of can refer to for calculating the results of measuring that the stage obtains is improved.
Description of the drawings
In order to more clearly explain the embodiment of the invention or the technical proposal in the existing technology, to embodiment or will show below
There is attached drawing needed in technology description to be briefly described, it should be apparent that, the accompanying drawings in the following description is only this
Some embodiments of invention for those of ordinary skill in the art without creative efforts, can be with
Obtain other attached drawings according to these attached drawings.
Fig. 1 is a kind of flow diagram of data processing method provided in an embodiment of the present invention；
Fig. 2 is a kind of schematic diagram at measuring and calculating interface provided in an embodiment of the present invention；
Fig. 3 is the schematic diagram at another measuring and calculating interface provided in an embodiment of the present invention；
Fig. 4 is the flow diagram of another data processing method provided in an embodiment of the present invention；
Fig. 5 is a kind of structural schematic diagram of terminal provided in an embodiment of the present invention；
Fig. 6 is the structural schematic diagram of another terminal provided in an embodiment of the present invention.
Specific implementation mode
Following will be combined with the drawings in the embodiments of the present invention, and technical solution in the embodiment of the present invention is described.
Referring to Fig. 1, being a kind of flow diagram of data processing method provided in an embodiment of the present invention.Specifically, should
Method may comprise steps of：
S101, merchandise news and the first repayment schedule that measuring and calculating instruction carries are obtained.
In the embodiment of the present invention, terminal can obtain the commodity letter that measuring and calculating instruction carries after detecting measuring and calculating instruction
Breath and the first repayment schedule.
In one embodiment, terminal can show measuring and calculating interface, can be at the measuring and calculating interface using the user of the terminal
Relevant parameter is chosen in input.It, can be with after being inputted at the measuring and calculating interface using the user of the terminal or choose relevant parameter
It triggers the terminal and generates measuring and calculating instruction.Measuring and calculating instruction can detect the user using the terminal to measuring and calculating control (such as
Measuring and calculating button) touch control operation after generate.In one embodiment, which can also be known as the first interface, second
Interface ...
Wherein, above-mentioned merchandise news may include commodity sign.The commodity sign includes but not limited to following any one
Or it is multinomial：Trade name, descriptive labelling information, goods links (such as htttp://......).First repayment schedule is at least
Including following any one or multinomial：The down payment ratio (such as 20%) of setting, the issue (such as 12 phases) of setting, the interest rate being arranged
(such as 1.25%).In one embodiment, first repayment schedule according to practical application scene can also be setting issue with
And each issue of repayment amount.
It will be illustrated below with actual application scenarios, it is assumed that user A wants to buy hand using the mode purchased by stages
Machine 1, business personnel A can utilize tablet 1 (tablet 1 is equipped with the software with measuring and calculating function, such as refund calculator) to be should
User A calculates, and simulates results of measuring.
As shown in Fig. 2, being a kind of measuring and calculating interface schematic diagram provided in an embodiment of the present invention.The measuring and calculating interface includes commodity letter
Breath column (for selecting or inputting target loan trade name, link etc.), repayment schedule option (refund by 1 option of repayment schedule
Plan 2 options, 3 option of repayment schedule) and measuring and calculating button.Above-mentioned repayment schedule option include at least following any one or
Multinomial content：Issue, down payment ratio, interest rate.Business personnel A submits the data of (or description) according to user A, at the measuring and calculating interface
Selection has input trade name：Mobile phone 1 has simultaneously selected repayment schedule 2.Specifically, which is issue：12, down payment ratio
Example；20%, interest rate：1.75%.If the business personnel A clicks measuring and calculating button, after tablet 1 can be instructed detecting measuring and calculating,
Obtain repayment schedule 2：Issue：12, down payment ratio；20%, interest rate：1.75%, and the commodity sign can be obtained, mobile phone 1.
In one embodiment, which can also include commodity price.The repayment schedule option can specifically divide
For a number of other options, such as issue option, interest rate option, down payment ratio option, the embodiment of the present invention is numerous to list herein.It should
Measuring and calculating interface respective selection can also be become to input frame according to actual needs, can either increase or delete other options or
Person's input frame.
In one embodiment, which can also be each issue of repayment amount and issue.
As shown in figure 3, for another measuring and calculating interface schematic diagram provided in an embodiment of the present invention.The measuring and calculating interface includes user
Information bar (such as address name input field, user certificate piece number input field), merchandise news column are (for selecting or inputting target loan
Trade name, link etc.), repayment schedule input field and measuring and calculating button.Business personnel A has input mobile phone 1 on merchandise news column,
And address name input field has input Xiao Ming, user certificate piece number input field has input user certificate piece number：* * * * * are counted refunding
It draws column and inputs repayment schedule 1.The repayment schedule 1 may include following any one or multinomial：Issue, down payment ratio, interest rate.
After input information, if business personnel clicks measuring and calculating button, tablet 1 can receive measuring and calculating instruction, which can
To obtain following repayment schedule 1：Issue：12, down payment ratio；20%, interest rate：1.75%, and the commodity sign can be obtained,
Such as mobile phone 1.
In one embodiment, which can be also used for inputting other repayment schedules, such as each issue of input
Repayment amount and issue.The repayment schedule input field can be specifically divided into a number of other input fields, such as issue input field, interest rate
Input frame, down payment ratio input field, the embodiment of the present invention are numerous to list herein.
Wherein, the measuring and calculating interface of meaning of the embodiment of the present invention includes but not limited to such as measuring and calculating interfaces shown in Fig. 3 Fig. 2-, this
Inventive embodiments are numerous to list herein.
S102, the corresponding target loan commodity history accounting of the commodity sign is counted according to first repayment schedule
First kind attribute data after the completion, and analyze to obtain first object parameter according to the first kind attribute data.
It should be noted that the first kind attribute data is the result counted according to the first repayment schedule.First mesh
It is the parameter obtained after analyzing the first kind attribute data to mark parameter, which includes but not limited to probability distribution
Method, mean value method (such as simple average method, weighted mean method).The first object parameter is down payment ratio, issue, interest rate, adds
The type of service fee, optional Additional Services type, the Additional Services is fixed Combination and/or independent assortment.The additional clothes
Business expense can refer to the expense caused by other services of measuring and calculating process or the addition of refund process, such as carrying for refund process
Preceding refund service fee delays refund service fee, overdue refund service fee.
In one embodiment, terminal can determine analysis mode corresponding with the first kind attribute data；According to determination
The analysis mode gone out is analyzed to obtain first object parameter to the first kind attribute data.Wherein, the analysis mode include but
It is not limited to include the first analysis mode, the second analysis mode, third analysis mode.First analysis mode is according to time dimension
The mode analyzed；Second analysis mode is in such a way that location dimension is analyzed；The third analysis mode according to
The mode that business personnel's dimension of processing business is analyzed.The analysis mode of different dimensions makes measuring and calculating process be more flexible
And the property of can refer to, and measuring and calculating can be reduced to a certain extent and calculate the difference of obtained results of measuring.
It in one embodiment, should be according to point determined when the analysis mode determined is the first analysis mode
Analysis mode is analyzed to obtain first object parameter to the first kind attribute data, is specifically as follows from the first kind attribute number
The attribute data within the scope of default timing statistics is filtered out in, and utilizes the category within the scope of the default timing statistics filtered out
First object parameter is calculated in property data.For example, the default timing statistics range can be that the measuring and calculating previous moon, measuring and calculating are previous
Week, the embodiment of the present invention are not limited it.
It should be noted that attribute data within the scope of the default timing statistics filtered out can be utilized to pass through is general for terminal
First object parameter is calculated in rate distribution or mean value method.
In one embodiment, terminal is passed through using the attribute data calculating within the scope of the default timing statistics filtered out
Probability distribution method obtains first object parameter, is specifically as follows and calculates the general of the attribute data within the scope of the default timing statistics
Rate distributed data；The probability distribution data analysis that the attribute data within the scope of timing statistics is preset according to this obtains first object ginseng
Number；Wherein, which includes but not limited to following any one or multinomial：The probability of each down payment ratio, each profit
The probability of the probability of rate, the probability of each issue, each Additional Services expense；The first object parameter is specifically as follows following any one
Item is multinomial：Down payment ratio in the probability of each down payment ratio corresponding to maximum probability, maximum probability in the probability of each interest rate
Corresponding interest rate, each issue probability in issue corresponding to maximum probability, in each surcharge probability corresponding to maximum probability
Additional Services expense.
For example, if default timing statistics ranging from calculate the previous moon, the general of the attribute data for calculating the previous moon is obtained
Rate distributed data is the probability of issue 1：0.2, the probability of issue 2：0.3, the probability of issue 3：0.5, the probability of down payment ratio 1：
0.3, the probability of down payment ratio 2：0.7, the probability of interest rate 1：0.4, the probability of interest rate 2：0.6, then the first object parameter can be with
For issue 3, down payment ratio 2, interest rate 2.
In one embodiment, terminal is used average using the attribute data within the scope of the default timing statistics filtered out
First object parameter is calculated in value method, is specifically as follows the flat of the attribute data within the scope of the default timing statistics filtered out
Mean value；Using the average value of the attribute data within the scope of the default timing statistics that this is filtered out as first object parameter.
For example, the default timing statistics ranging from calculate the previous moon, the attribute number of the measuring and calculating previous moon filtered out
According to including attribute data 1 (for issue x1, down payment ratio y1, interest rate z1), attribute data 2 is (for issue x2, down payment ratio y2, interest rate
z2), attribute data 3 is (for issue x3, down payment ratio y3, interest rate z3), then the average value of the attribute data of the measuring and calculating previous moon is
Issue (x1+x2+x3)/3, down payment ratio (y1+y2+y3)/3, interest rate (z1+z2+z3)/3.That is, the first object parameter is issue (x1+
x2+x3)/3, down payment ratio (y1+y2+y3)/3, interest rate (z1+z2+z3)/3.In one embodiment, attribute data 1, the attribute number
Can also include respective Additional Services expense according to 2, attribute data 3 according to actual conditions.
In one embodiment, attribute data within the scope of the default timing statistics which filters out is calculated the
One target component is specifically as follows the attribute data and the difference determined in the default timing statistics range in different time sections
The variation tendency of attribute data in period；From the attribute data in the different time sections, selection variation tendency meets pre-
If first object parameter is calculated in the attribute data of variation tendency condition.For example, terminal, which can will be calculated, is divided into 3 by the previous moon
A period (period 1, period 2, period 3), and can be with the attribute number of statistical calculation previous three periods of the middle of the month
According to this and the variation tendency of the attribute data of each period, if the variation tendency that terminal analysis goes out the period 3 is most stable of
State can then utilize the attribute data of the period 3 that first object parameter is calculated.
In one embodiment, terminal can preset one with reference to attribute value (such as preset standard attribute value), utilize this
Attribute data in different time sections and this analyze this not in conjunction with the mode for asking variance or standard deviation with reference to attribute value
With the variation tendency of the attribute data in the period.For example, the variance or standard deviation that are acquired in the corresponding period are smaller, then may be used
To determine that the attribute data amplitude of variation is smaller more steady.The embodiment of the present invention includes but be not limited to using above-mentioned variation tendency point
The method of analysis, it is numerous to list herein.
It in one embodiment, should be according to point determined when the analysis mode determined is the second analysis mode
Analysis mode is analyzed to obtain first object parameter to the first kind attribute data, is specifically as follows from the first kind attribute number
The attribute data within the scope of predeterminated position is filtered out in；It is calculated using the attribute data within the scope of the predeterminated position filtered out
Obtain first object parameter.Wherein, which can be according to country, save (city) division, such as Sichuan Province, Guangdong
It saves, can also be and divided according to the different shops of processing business, such as shops 1, shops 2.What the processing business referred to can carry
For financial service, or measuring and calculating is provided, tentative calculation, calculates the services such as service.
In one embodiment, terminal passes through probability using the attribute data calculating within the scope of the predeterminated position filtered out
Distribution obtains first object parameter, is specifically as follows the probability distribution number for calculating the attribute data within the scope of the predeterminated position
According to；The probability distribution data analysis that the attribute data within the scope of timing statistics is preset according to this obtains first object parameter；Wherein,
The probability distribution data include but not limited to following any one or multinomial：The probability of each down payment ratio, the probability of each interest rate,
The probability of the probability of each issue, each Additional Services expense；The first object parameter is specifically as follows following any one or more
：Down payment ratio in the probability of each down payment ratio corresponding to maximum probability, the corresponding profit of maximum probability in the probability of each interest rate
Rate, each issue probability in issue corresponding to maximum probability, the additional clothes in each surcharge probability corresponding to maximum probability
Business expense.
If for example, predeterminated position ranging from shops 1, the probability distribution data for obtaining the attribute data of shops 1 are issue 1
Probability：0.4, the probability of issue 2：0.6, the probability of down payment ratio 1：0.4, the probability of down payment ratio 2：0.6, the probability of interest rate 1：
0.4, the probability of interest rate 2：0.6, then the first object parameter can be issue 2, down payment ratio 2, interest rate 2.
In one embodiment, terminal uses mean value method using the attribute data within the scope of the predeterminated position filtered out
First object parameter is calculated, is specifically as follows the average value of the attribute data within the scope of the predeterminated position filtered out；It will
The average value of attribute data within the scope of the default timing statistics filtered out is as first object parameter.
For example, the predeterminated position ranging from shops 1, the attribute data of the shops filtered out 1 includes the (packet of attribute data 4
Include issue x4, down payment ratio y4, interest rate z4), (including the issue x of attribute data 55, down payment ratio y5, interest rate z5), then this presets position
The average value for setting the attribute data in range includes issue (x4+x5)/2, down payment ratio (y4+y5)/2, interest rate (z4+z5)/2.That is,
The first object parameter can be issue (x4+x5)/2, down payment ratio (y4+y5)/2, interest rate (z4+z5)/2.In one embodiment
In, the attribute data 4, attribute data 5 can also include respective Additional Services expense according to actual conditions.
It in one embodiment, should be according to point determined when the analysis mode determined is third analysis mode
Analysis mode is analyzed to obtain first object parameter to the first kind attribute data, is specifically as follows from the first kind attribute number
According to filtering out and the corresponding attribute data of the processing personal data of business personnel of the business；It should be with processing using what is filtered out
First object parameter is calculated in the corresponding attribute data of personal data of the business personnel of the business.Wherein, this number
According to including at least air control data and/or bill of lading data.The air control data include but not limited to the done bill of lading of business personnel, loan at
Overdue data after work(.The bill of lading data can be the business that the business personnel is completed in terms of data.This is utilized and processing
First object parameter is calculated in the corresponding attribute data of personal data of the business personnel of the business, includes but not limited to adopt
With the aforementioned probability method of fractional steps referred to and mean value method.
It in one embodiment, can be true when the personal data of the business personnel are the air control data of the business personnel
The grade belonging to the air control data of the business personnel is made, and category corresponding with the grade belonging to the air control data can be filtered out
Property data, to according to the corresponding attribute data of the affiliated grade of air control data calculate first object parameter.
Correspondingly, the analysis mode that can be combined with multiple dimensions analyzes the first kind attribute data.For example, should
The analysis mode determined can also be the first analysis mode and the second analysis mode or the first analysis mode and third analysis
Mode or the second analysis mode and third analysis mode or the first analysis mode, the second analysis mode, third analysis side
Formula.
It in one embodiment, should when the analysis mode determined is the first analysis mode and the second analysis mode
According to the analysis mode determined, which is analyzed to obtain first object parameter, be specifically as follows from
The default statistics for filtering out the attribute data within the scope of default timing statistics in the first kind attribute data, and being filtered out from this
In attribute data in time range, the attribute data within the scope of predeterminated position, and the default position determined according to this are determined
It sets the attribute data in range and first object parameter is calculated.
In one embodiment, it is the first analysis mode, the second analysis mode and third in the analysis mode determined
When analysis mode, the first kind attribute data should be analyzed to obtain first object parameter according to the analysis mode determined,
Be specifically as follows filtered out from the first kind attribute data with processing the personal data of business personnel of the business it is corresponding
Attribute data, and filtered out in default statistics from the corresponding attribute data of personal data of business personnel for handling the business
Attribute data in time range, and in the attribute data within the scope of the default timing statistics filtered out from this, determine pre-
If the attribute data in position range, to be calculated first according to the attribute data within the scope of the predeterminated position determined
Target component.
For example, terminal can filter out category corresponding with the personal data of business personnel A from first kind attribute data
Property data (attribute data 6, attribute data 7, attribute data 8, attribute data 9, attribute data 10......), and from this and business
Measuring and calculating preceding 1 month attribute data (attribute data 6, attribute number are filtered out in the corresponding attribute data of personal data of personnel A
According to 7, attribute data 8).The attribute data in area 1 is filtered out from 1 one months attribute datas before the measuring and calculating.Assuming that the category
Property data 6 correspond to area 1, attribute data 7 correspond to area 3, attribute data 8 correspond to area 2, then can utilize attribute data 1 count
Calculation obtains first object parameter.
In addition to this, when the analysis mode determined is multiple analysis modes, terminal can also be utilized according to difference
The attribute data that dimension is filtered out from first kind attribute data is weighted, to obtaining first object parameter.
In one embodiment, it is the first analysis mode, the second analysis mode and third in the analysis mode determined
When analysis mode, the first kind attribute data should be analyzed to obtain first object parameter according to the analysis mode determined,
Be specifically as follows filtered out from the first kind attribute data with processing the personal data of business personnel of the business it is corresponding
Attribute data, and from the attribute data filtered out in the first kind attribute data within the scope of default timing statistics, and from this
The attribute data within the scope of predeterminated position is filtered out in a kind of attribute data, utilizes the individual with the business personnel for handling the business
The corresponding attribute data of data, the attribute data within the scope of default timing statistics, the attribute data within the scope of predeterminated position
First object parameter is calculated.Optionally, attribute corresponding with the processing personal data of business personnel of the business is utilized
The probability distribution data (or average value) of data, within the scope of default timing statistics attribute data (probability distribution data (or
Person's average value), the probability distribution data (or average value) of attribute data within the scope of predeterminated position first object is calculated
Parameter.
S103, results of measuring is calculated using the first object parameter.
S104, the output results of measuring.
It should be noted that the results of measuring includes the second repayment schedule.Second repayment schedule and the first repayment schedule
Difference lies in before measuring and calculating and after measuring and calculating.Second repayment schedule may include following any one or multinomial：It calculates
Issue, the down payment ratio calculated, the interest rate calculated, the Additional Services expense calculated.In one embodiment, this second
Repayment schedule may include the first object parameter.Second repayment schedule can also be the issue calculated and each issue of refund
The amount of money.The results of measuring can also include the refund total value calculated.
In the embodiment of the present invention, which can be exported behind measuring and calculating interface, jump page, can also be display
On measuring and calculating interface, it can also be shown in a manner of prompt message on measuring and calculating interface, the embodiment of the present invention does not limit it.
As it can be seen that terminal can determine first after the completion of target loan commodity history is calculated according to the first repayment schedule
Generic attribute data, and analyze to obtain first object parameter according to the first kind attribute data, with according to the first object parameter
Results of measuring is calculated and exports, so that the property of can refer to of the results of measuring obtained when measuring and calculating is improved.
Referring to Fig. 4, Fig. 4 is the flow diagram of another data processing method provided in an embodiment of the present invention.Fig. 4 institutes
Show that difference lies in Fig. 4 embodiments introduce preliminary hearing result to carry out first object parameter for embodiment and embodiment illustrated in fig. 1
Adjustment adds a dimension to further analyze final results of measuring compared to Fig. 1 embodiments, improves measuring and calculating knot
The property of can refer to of fruit.Specifically, this method may comprise steps of：
It should be noted that step S201-S202 can be with the step S101-S102 of parameter embodiment illustrated in fig. 1.
S201, merchandise news and the first repayment schedule that measuring and calculating instruction carries are obtained.
S202, the corresponding target loan commodity history accounting of the commodity sign is counted according to first repayment schedule
First kind attribute data after the completion, and analyze to obtain first object parameter according to the first kind attribute data.
S203, the preliminary hearing result for obtaining target user.
Wherein, the target user be with the measuring and calculating instruct it is relevant, be intended to buy the user of target commodity to be provided a loan；This is pre-
It is obtained after examining the result is that analyzing the user data of the target user；The user data includes at least collage-credit data.It should
Collage-credit data can be that terminal is obtained from third party, as bank, special lending agency, internet channel obtain.
In one embodiment, the user data of the target user can be user identifier of the terminal according to the target user
It obtains；The user identifier can be used for identifying the identity of the target user, the including but not limited to identity card of the target user
Number.
It should be noted that terminal obtain the target user user data after, can be to reference in the user data
Data are assessed to obtain preliminary hearing result.
For example, can give a mark to the collage-credit data of user, collage-credit data indicates that the credit of the target user is better, corresponding
Scoring is higher, and using the scoring as preliminary hearing result.It is noted that the embodiment of the present invention assesses collage-credit data
It is not limited in a manner of obtaining preliminary hearing result.The preliminary hearing result includes but not limited to be presented with fractional form.
In one embodiment, which can be in audit to business people associated with the target user is handled
When the personal data of member are unqualified, when such as detecting that the overdue data in the air control data of the business personnel are more than predetermined threshold value,
Obtain the preliminary hearing result of the target user.
S204, grade belonging to the preliminary hearing result of the target user is determined.
In the embodiment of the present invention, different preliminary hearing results can be classified as different brackets.
For example, different preliminary hearing results are referred to grade 1, grade 2, grade 3.Wherein, preliminary hearing result is in the use of grade 1
The credit at family is preferable.The credit that preliminary hearing result is in the user of grade 2 is general.Preliminary hearing result is in the credit of the user of grade 1
Preferably.
In one embodiment, which can be divided according to the size of preliminary hearing result.For example, grade
1 corresponds to preliminary hearing result 80-100, and grade 2 corresponds to preliminary hearing result 60-79, and grade 3 is just less than 60.
S205, the second generic attribute number after the completion of the target loan commodity history accounting is counted according to affiliated grade
According to, and the second target component is obtained according to the second generic attribute data analysis.
Unlike first kind attribute data, which is the data filtered out according to preliminary hearing result.
In one embodiment, terminal obtains the second target component according to the second generic attribute data analysis, specifically can be with
To filter out attribute data corresponding with the first repayment schedule from the second generic attribute data, and counted using that should refund with first
Corresponding attribute data is drawn to analyze to obtain the second target component.
In one embodiment, terminal obtains the second target component according to the second generic attribute data analysis, specifically can be with
To filter out attribute data corresponding with the first repayment schedule from the second generic attribute data, and refunds and count with first from this
The attribute data filtered out in corresponding attribute data within the scope of default timing statistics is drawn, and utilizes the default timing statistics model
Attribute data in enclosing is analyzed to obtain the second target component.
In one embodiment, terminal obtains the second target component according to the second generic attribute data analysis, specifically can be with
To filter out attribute data corresponding with the first repayment schedule from the second generic attribute data, and refunds and count with first from this
The attribute data filtered out in corresponding attribute data within the scope of predeterminated position is drawn, and utilizes the category within the scope of the predeterminated position
Property data analysis obtains the second target component.
In one embodiment, terminal obtains the second target component according to the second generic attribute data analysis, specifically can be with
To filter out attribute data corresponding with the first repayment schedule from the second generic attribute data, and refunds and count with first from this
It draws and filters out attribute data corresponding with the personal data of the business personnel of processing business in corresponding attribute data, and profit
Attribute data corresponding with the personal data of the business personnel with processing business is analyzed to obtain the second target component.
In addition to this, terminal can be combined with a variety of analysis modes, and calculating is filtered out from the second generic attribute data
The attribute data of two target components.
For example, terminal obtains the second target component according to the second generic attribute data analysis, be specifically as follows from this second
Attribute data corresponding with the first repayment schedule is filtered out in generic attribute data, and corresponding with the first repayment schedule from this
Attribute data corresponding with the personal data of the business personnel of processing business is filtered out in attribute data, and from this and handles industry
In the corresponding attribute data of personal data of the business personnel of business, filter out within the scope of default timing statistics (or predeterminated position
In range) attribute data, and analyzed using attribute data of (or within the scope of predeterminated position) within the scope of the default timing statistics
Obtain the second target component.
It should be noted that second target component includes but not limited to join probability distribution and mean value method, to from
The attribute data filtered out in second generic attribute data obtains after being analyzed.For example, obtaining this from the second generic attribute data
The probability distribution data (either average value) of the attribute data filtered out are simultaneously obtained using the probability distribution data (or average value)
To second target component.
In one embodiment, this obtains the second target component according to the second generic attribute data analysis, is specifically as follows：
Attribute data corresponding with first repayment schedule is filtered out from the second generic attribute data, and calculate with this first also
The probability distribution data of the corresponding attribute data of money plan；Wherein, the probability distribution data include following any one or
It is multinomial：The probability of the probability of each down payment ratio, the probability of each issue, each Additional Services expense；According to first repayment schedule
The probability distribution data analysis of corresponding attribute data obtains the second target component；Second target component is each down payment ratio
Probability in down payment ratio corresponding to maximum probability, each issue probability in issue corresponding to maximum probability, each additional cost
With the Additional Services expense corresponding to maximum probability in probability.
For example, if the attribute number corresponding with first repayment schedule filtered out from the second generic attribute data
According to probability distribution data be issue 1 probability：0.3, the probability of issue 2：0.5, the probability of issue 3：0.2, down payment ratio 1
Probability：0.3, the probability of down payment ratio 2：0.7, the probability of interest rate 1：0.4, the probability of interest rate 2：0.6, then second target component
Can be issue 2, down payment ratio 2, interest rate 2.
In one embodiment, this obtains the second target component according to the second generic attribute data analysis, is specifically as follows：
Attribute data corresponding with first repayment schedule is filtered out from the second generic attribute data, and calculate with this first also
The average value of the corresponding attribute data of money plan；Using the average value of attribute data corresponding with first repayment schedule as
Second target component.
For example, should attribute data corresponding with first repayment schedule include (including the issue x of attribute data 77, down payment
Ratio y7, interest rate z7), (including the issue x of attribute data 88, down payment ratio y8, interest rate z8), (including the issue x of attribute data 99, it is first
Pay ratio y9, interest rate z9), then the average value of the corresponding attribute data of the first repayment schedule includes issue (x7+x8+x9)/3,
Down payment ratio (y7+y8+y9)/3, interest rate (z7+z8+z9)/3.That is, second target component can be issue (x7+x8+x9)/3, head
Pay ratio (y7+y8+y9)/3, interest rate (z7+z8+z9)/3.In one embodiment, the attribute data 7, attribute data 8, attribute number
Can also include respective Additional Services expense according to 9 according to actual conditions.
It should be noted that the embodiment of the present invention includes but be not limited to the above-mentioned basis enumerated from the second generic attribute data
The probability distribution data (or averagely doing) of the attribute data corresponding with the first repayment schedule filtered out obtain the second target
Parameter, can also be it is aforementioned refer to it is other for obtain second target component attribute datas probability distribution data (or
Person's average value), the embodiment of the present invention does not repeat one by one herein.
S206, the first object parameter is adjusted according to second target component, and utilize first after the adjustment
Target component calculates results of measuring.
S207, the output results of measuring.
In one embodiment, this adjusts the first object parameter according to second target component, is specifically as follows use
Second target component replaces the first object parameter.First object parameter after the adjustment is second target component.
For example, the first object parameter can be issue (x4+x5)/2, down payment ratio (y4+y5)/2, interest rate (z4+z5)/2。
Second target component can be issue (x7+x8+x9)/3, down payment ratio (y7+y8+y9)/3, interest rate (z7+z8+z9)/3.It then can be with
The first object parameter is replaced to obtain results of measuring using second target component.
In one embodiment, this adjusts the first object parameter according to second target component, is specifically as follows this
First object parameter is weighted with second target component.First object parameter after the adjustment is first object parameter
Result after being weighted with the second target component.
For example, the first object parameter can be issue (x4+x5)/2, down payment ratio (y4+y5)/2, interest rate (z4+z5)/2。
Second target component can be issue (x7+x8+x9)/3, down payment ratio (y7+y8+y9)/3, interest rate (z7+z8+z9)/3.Setting should
The weight of first object parameter is 0.4, and the weight that second target component is arranged is 0.6, then the first object ginseng after the adjustment
Number is：0.4 (x of issue4+x5)/2+0.6(x7+x8+x9)/3,0.4 (y of down payment ratio4+y5)/2+0.6(y7+y8+y9)/3, interest rate 0.4
(z4+z5)/2+0.6(z7+z8+z9)/3。
As it can be seen that terminal can determine first after the completion of target loan commodity history is calculated according to the first repayment schedule
Generic attribute data, and first object parameter can be obtained according to the first kind attribute data.Further, terminal can also obtain
The preliminary hearing of target user as a result, and the second generic attribute data are determined according to the affiliated grade of preliminary hearing result, and have very much this second
Class refund data obtain the second target component to be adjusted to the first object parameter, to reduce since measuring and calculating was to calculating
The difference for the data that the stage obtains with the accounting stage is finally calculated in journey caused by introducing different parameters so that the measuring and calculating stage obtains
To results of measuring be improved.
Referring to Fig. 5, being a kind of structural schematic diagram of terminal provided in an embodiment of the present invention.Specifically, which can be with
Including：
Acquiring unit 10, the merchandise news and the first repayment schedule carried for obtaining measuring and calculating instruction；The commodity letter
Breath includes commodity sign, and first repayment schedule includes at least following any one or multinomial：The down payment ratio of setting is set
The interest rate of the issue, setting set；
Processing unit 20, for counting the corresponding target loan quotient of the commodity sign according to first repayment schedule
Product history calculate after the completion of first kind attribute data, and analyze to obtain first object ginseng according to the first kind attribute data
Number；
Unit 30 is calculated, for calculating results of measuring using the first object parameter；The results of measuring includes the
Two repayment schedules；
Output unit 40, for exporting the results of measuring.
In one embodiment, the first object parameter is following any one or more：Down payment ratio, issue, profit
The type of rate, optional Additional Services expense and the Additional Services；Wherein, the type of the Additional Services includes fixed group
It closes and/or is freely combined.
In one embodiment, the processing unit 20 is analyzed to obtain first object ginseng according to the first kind attribute data
Number specially determines analysis mode corresponding with the first kind attribute data；According to the analysis mode determined, to described
A kind of attribute data is analyzed to obtain first object parameter；Wherein, the analysis mode include the first analysis mode, second point
Analysis mode or third analysis mode；First analysis mode is in such a way that time dimension is analyzed；Described second point
Analysis mode is in such a way that location dimension is analyzed；The third analysis mode according to processing business business personnel's dimension
The mode analyzed.
In one embodiment, the analysis mode determined is the first analysis mode；The processing unit 20 according to
The analysis mode determined is analyzed to obtain first object parameter to be specially from described first to the first kind attribute data
The attribute data within the scope of default timing statistics is filtered out in generic attribute data；Utilize the default timing statistics model filtered out
First object parameter is calculated in attribute data in enclosing.
In one embodiment, processing unit 20 utilizes the attribute data within the scope of the default timing statistics filtered out
Be calculated first object parameter, specially determine the attribute data in the default timing statistics range in different time sections with
And the variation tendency of the attribute data in the different time sections；From the attribute data in the different time sections, chooses and become
First object parameter is calculated in the attribute data that change trend meets default variation tendency condition.
In one embodiment, when the analysis mode determined is the second analysis mode, processing unit 20 is according to determination
The analysis mode gone out is analyzed to obtain first object parameter to the first kind attribute data, specially from the first kind
The attribute data within the scope of predeterminated position is filtered out in attribute data；Utilize the attribute within the scope of the predeterminated position filtered out
First object parameter is calculated in data.
In one embodiment, the analysis mode determined be third analysis mode when, processing unit 20 according to
The analysis mode determined is analyzed to obtain first object parameter to the first kind attribute data, specially from described
A kind of attribute data filters out attribute data corresponding with the processing personal data of business personnel of the business；A number
According to including at least air control data and/or bill of lading data；Utilize the individual with the business personnel for handling the business described in filtering out
First object parameter is calculated in the corresponding attribute data of data.
In one embodiment, measuring and calculating unit 30 calculates results of measuring using the first object parameter, specially obtains
Take the preliminary hearing result of target user；The target user be with measuring and calculating instruction it is relevant, be intended to buy the target and wait providing a loan
The user of commodity；The preliminary hearing the result is that analyze the user data of the target user after obtain；The number of users
According to including at least collage-credit data；Determine the grade belonging to the preliminary hearing result of the target user；It is counted according to affiliated grade
Go out the second generic attribute data after the completion of the target loan commodity history is calculated, and according to the second generic attribute data analysis
Obtain the second target component；The first object parameter is adjusted according to second target component, and using after the adjustment
First object parameter calculates results of measuring.
In one embodiment, measuring and calculating unit 30 obtains the second target component according to the second generic attribute data analysis,
Attribute data corresponding with first repayment schedule is specially filtered out from the second generic attribute data, and is calculated
The probability distribution data of attribute data corresponding with first repayment schedule；Wherein, the probability distribution data include with
Lower any one or multinomial：The probability of the probability of each down payment ratio, the probability of each issue, each Additional Services expense；According to
The probability distribution data analysis of the corresponding attribute data of first repayment schedule obtains the second target component；Second mesh
It is right for maximum probability in the probability of down payment ratio, each issue corresponding to maximum probability in the probability of each down payment ratio to mark parameter
Additional Services expense in the issue answered, each surcharge probability corresponding to maximum probability.
In one embodiment, measuring and calculating unit 30 adjusts the first object parameter, tool according to second target component
Body is to replace the first object parameter using second target component；Alternatively, by the first object parameter and described the
Two target components are weighted.
As it can be seen that terminal can determine first after the completion of target loan commodity history is calculated according to the first repayment schedule
Generic attribute data, and analyze to obtain first object parameter according to the first kind attribute data, with according to the first object parameter
Results of measuring is calculated and exports, so that the property of can refer to of the results of measuring obtained when measuring and calculating is improved.
Referring to Fig. 6, being a kind of structural schematic diagram of terminal provided in an embodiment of the present invention.Specifically, which can be with
It is smart mobile phone, tablet computer, intelligent wearable device etc..Specifically, the intelligent terminal described in the present embodiment can wrap
It includes：One or more processors 100, one or more input equipments 200, one or more output equipments 300 and memory
400.Processor 100, input equipment 200, output equipment 300 can be connected with memory by bus.
Input equipment 200 can be the wire-wireless communication interface of standard, can also be that Trackpad, fingerprint adopt sensor
(directional information of finger print information and fingerprint for acquiring user), microphone etc., output equipment 300 may include display
(LCD etc.), loud speaker etc..
Processor 100 can be central processing module (Central Processing Unit, CPU), which may be used also
To be other general processors, digital signal processor (Digital Signal Processor, DSP), application-specific integrated circuit
(Application Specific Integrated Circuit, ASIC), ready-made programmable gate array (Field-
Programmable Gate Array, FPGA) either other programmable logic device, discrete gate or transistor logic,
Discrete hardware components etc..General processor can be microprocessor or the processor can also be any conventional processor
Deng.
Memory 400 can be high-speed RAM memory or non-labile memory (non-
), such as magnetic disk storage volatilememory.Memory 400 is for storing batch processing code, input equipment 200, output
Equipment 300 and processor 100 can call the program code stored in memory 400.
Processor 100, the merchandise news and the first repayment schedule carried for obtaining measuring and calculating instruction；The merchandise news
Including commodity sign, first repayment schedule includes at least following any one or multinomial：The down payment ratio of setting, setting
Issue, setting interest rate；The corresponding target loan commodity of the commodity sign are counted according to first repayment schedule to go through
First kind attribute data after the completion of history accounting, and analyze to obtain first object parameter according to the first kind attribute data；Profit
Results of measuring is calculated with the first object parameter；The results of measuring includes the second repayment schedule；Pass through output equipment 300
Export the results of measuring.
In one embodiment, the first object parameter is following any one or more：Down payment ratio, issue, profit
The type of rate, optional Additional Services expense and the Additional Services；Wherein, the type of the Additional Services includes fixed group
It closes and/or is freely combined.
Optionally, processor 100 are specifically used for determining analysis mode corresponding with the first kind attribute data；According to
The analysis mode determined is analyzed to obtain first object parameter to the first kind attribute data；Wherein, the analysis side
Formula includes the first analysis mode, the second analysis mode or third analysis mode；First analysis mode is according to time dimension
The mode analyzed；Second analysis mode is in such a way that location dimension is analyzed；The third analysis mode
In such a way that business personnel's dimension of processing business is analyzed.
Optionally, processor 100, specifically for the analysis mode determined be the first analysis mode when, from institute
State the attribute data filtered out in first kind attribute data within the scope of default timing statistics；Utilize the default statistics filtered out
First object parameter is calculated in attribute data in time range.
Optionally, processor 100 are specifically used for determining the attribute in the default timing statistics range in different time sections
The variation tendency of data and the attribute data in the different time sections；From the attribute data in the different time sections,
First object parameter is calculated in the attribute data that selection variation tendency meets default variation tendency condition.
Optionally, processor 100, specifically for the analysis mode determined be the second analysis mode when, from institute
State the attribute data filtered out in first kind attribute data within the scope of predeterminated position；Utilize the predeterminated position range filtered out
First object parameter is calculated in interior attribute data.
Optionally, processor 100, specifically for when the analysis mode determined is third analysis mode, from described the
A kind of attribute data filters out attribute data corresponding with the processing personal data of business personnel of the business；A number
According to including at least air control data and/or bill of lading data；Utilize the individual with the business personnel for handling the business described in filtering out
First object parameter is calculated in the corresponding attribute data of data.
Optionally, processor 100 are specifically used for obtaining the preliminary hearing result of target user；The target user be with it is described
Measuring and calculating instruction is relevant, is intended to buy the user of target commodity to be provided a loan；The preliminary hearing is the result is that the target user's
What user data obtained after being analyzed；The user data includes at least collage-credit data；Determine that the target user's is pre-
The grade to conclude belonging to fruit；The second generic after the completion of the target loan commodity history is calculated is counted according to affiliated grade
Property data, and the second target component is obtained according to the second generic attribute data analysis；It is adjusted according to second target component
The first object parameter, and calculate results of measuring using the first object parameter after the adjustment.
Optionally, processor 100 are counted specifically for filtering out to refund with described first from the second generic attribute data
Corresponding attribute data is drawn, and calculates the probability distribution data of attribute data corresponding with first repayment schedule；
Wherein, the probability distribution data include following any one or multinomial：The probability of each down payment ratio, the probability of each issue,
The probability of each Additional Services expense；According to the probability distribution data analysis of attribute data corresponding with first repayment schedule
Obtain the second target component；Second target component is the down payment ratio corresponding to maximum probability in the probability of each down payment ratio
Example, each issue probability in issue corresponding to maximum probability, the additional clothes in each surcharge probability corresponding to maximum probability
Business expense.
Optionally, processor 100 are specifically used for replacing the first object parameter using second target component；Or
The first object parameter and second target component are weighted person.
In the specific implementation, processor 100 described in the embodiment of the present invention, input equipment 200, output equipment 300 can
Realization method described in Fig. 1 embodiments, Fig. 4 embodiments is executed, realization method described in the embodiment of the present invention is also can perform,
Details are not described herein.
Each function module in each embodiment of the present invention can be integrated in a processing module, can also be each
Module physically exists alone, and can also be that two or more modules are integrated in a module.Above-mentioned integrated module was both
Can be realized in the form of sampling hardware, can also sampling software function module form realize.
One of ordinary skill in the art will appreciate that realizing all or part of flow in above-described embodiment method, being can be with
Relevant hardware is instructed to complete by computer program, the program can be stored in a computer read/write memory medium
In, the program is when being executed, it may include such as the flow of the embodiment of above-mentioned each method.Wherein, the storage medium can be magnetic
Dish, CD, read-only memory (Read-Only Memory, ROM) or random access memory (Random Access
Memory, RAM) etc..
It is above disclosed to be only a preferred embodiment of the present invention, the power of the present invention cannot be limited with this certainly
Sharp range, those skilled in the art can understand all or part of the processes for realizing the above embodiment, and is weighed according to the present invention
Equivalent variations made by profit requirement, still belong to the scope covered by the invention.
Claims (13)
1. a kind of data processing method, which is characterized in that the method includes：
Obtain merchandise news and the first repayment schedule that measuring and calculating instruction carries；The merchandise news includes commodity sign, described
First repayment schedule includes at least following any one or multinomial：The down payment ratio of setting, the issue of setting, setting profit
Rate；
It is counted after the completion of the commodity sign corresponding target loan commodity history calculates according to first repayment schedule
First kind attribute data, and analyze to obtain first object parameter according to the first kind attribute data；
Results of measuring is calculated using the first object parameter；The results of measuring includes the second repayment schedule；
Export the results of measuring.
2. according to the method described in claim 1, it is characterized in that, the first object parameter is following any one or more
：Down payment ratio, issue, interest rate, optional Additional Services expense and the type of the Additional Services；
Wherein, the type of the Additional Services includes fixed Combination and/or independent assortment.
3. method according to claim 1 or 2, which is characterized in that described to be analyzed according to the first kind attribute data
To first object parameter, including：
Determine analysis mode corresponding with the first kind attribute data；
According to the analysis mode determined, the first kind attribute data is analyzed to obtain first object parameter；
Wherein, the analysis mode includes the first analysis mode, the second analysis mode or third analysis mode；
First analysis mode is in such a way that time dimension is analyzed；Second analysis mode is according to location dimension
Spend the mode analyzed；The third analysis mode is in such a way that business personnel's dimension of processing business is analyzed.
4. according to the method described in claim 3, it is characterized in that, the analysis mode determined is the first analysis mode；
It is described that the first kind attribute data is analyzed to obtain first object parameter according to the analysis mode determined, including：
The attribute data within the scope of default timing statistics is filtered out from the first kind attribute data；
First object parameter is calculated using the attribute data within the scope of the default timing statistics filtered out.
5. according to the method described in claim 4, it is characterized in that, described utilize the default timing statistics range filtered out
First object parameter is calculated in interior attribute data, including：
Determine the attribute data in the default timing statistics range in different time sections and the category in the different time sections
The variation tendency of property data；
From the attribute data in the different time sections, the attribute data that variation tendency meets default variation tendency condition is chosen
First object parameter is calculated.
6. according to the method described in claim 3, it is characterized in that, the analysis mode determined is the second analysis mode；
It is described that the first kind attribute data is analyzed to obtain first object parameter according to the analysis mode determined, including：
The attribute data within the scope of predeterminated position is filtered out from the first kind attribute data；
First object parameter is calculated using the attribute data within the scope of the predeterminated position filtered out.
7. according to the method described in claim 3, it is characterized in that, the analysis mode determined is third analysis mode；
It is described that the first kind attribute data is analyzed to obtain first object parameter according to the analysis mode determined, including：
Attribute number corresponding with the processing personal data of business personnel of the business is filtered out from the first kind attribute data
According to；The personal data include at least air control data and/or bill of lading data；
It is calculated using attribute data corresponding with the processing personal data of business personnel of the business described in filtering out
First object parameter.
8. according to the method described in claim 1, it is characterized in that, described calculate measuring and calculating knot using the first object parameter
Fruit, including：
Obtain the preliminary hearing result of target user；The target user be with the measuring and calculating instruction it is relevant, be intended to buy the target
The user of commodity to be provided a loan；The preliminary hearing the result is that analyze the user data of the target user after obtain；It is described
User data includes at least collage-credit data；
Determine the grade belonging to the preliminary hearing result of the target user；
The second generic attribute data after the completion of target loan commodity history is calculated are counted according to affiliated grade, and according to
The second generic attribute data analysis obtains the second target component；
The first object parameter is adjusted according to second target component, and utilizes the first object parameter meter after the adjustment
Calculate results of measuring.
9. according to the method described in claim 8, it is characterized in that, described obtain according to the second generic attribute data analysis
Two target components, including：
Attribute data corresponding with first repayment schedule is filtered out from the second generic attribute data, and calculate with
The probability distribution data of the corresponding attribute data of first repayment schedule；Wherein, the probability distribution data include following
Any one is multinomial：The probability of the probability of each down payment ratio, the probability of each issue, each Additional Services expense；
The second target component is obtained according to the probability distribution data analysis of attribute data corresponding with first repayment schedule；
Second target component be each down payment ratio probability in down payment ratio corresponding to maximum probability, each issue probability in most
Additional Services expense in issue, each surcharge probability corresponding to maximum probability corresponding to maximum probability.
10. according to the method described in claim 8, it is characterized in that, described according to second target component adjustment described the
One target component, including：
The first object parameter is replaced using second target component；Alternatively,
The first object parameter and second target component are weighted.
11. a kind of terminal, which is characterized in that the terminal includes for executing such as claim 1-10 any one of them methods
Unit.
12. a kind of terminal, which is characterized in that the processor, defeated including processor, input equipment, output equipment and memory
Enter equipment, output equipment and memory to be connected with each other, wherein the memory is for storing computer program, the computer
Program includes program instruction, and the processor is configured for calling described program instruction, executes as claim 1-10 is any
Method described in.
13. a kind of computer readable storage medium, which is characterized in that the computer-readable recording medium storage has computer journey
Sequence, the computer program include program instruction, and described program instruction makes the processor execute such as when being executed by a processor
Claim 1-10 any one of them methods.
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| CN112686757A (en) * | 2020-12-31 | 2021-04-20 | 京东数字科技控股股份有限公司 | Method and device for processing security business data, electronic equipment and storage medium |
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Address after: 518000 Guangdong city of Shenzhen province Qianhai Shenzhen Hong Kong cooperation zone before Bay Road No. 1 building 201 room A (located in Shenzhen Qianhai business secretary Co. Ltd.) Applicant after: Shenzhen Rongyimai Information Technology Co., Ltd. Address before: 518000 Guangdong city of Shenzhen province Qianhai Shenzhen Hong Kong cooperation zone before Bay Road No. 1 building 201 room A (located in Shenzhen Qianhai business secretary Co. Ltd.) Applicant before: Maimaiti Mdt InfoTech Ltd, Shenzhen |
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