CN106330565A - Customer behavior analysis method and system of ATM equipment - Google Patents
Customer behavior analysis method and system of ATM equipment Download PDFInfo
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- CN106330565A CN106330565A CN201610801819.7A CN201610801819A CN106330565A CN 106330565 A CN106330565 A CN 106330565A CN 201610801819 A CN201610801819 A CN 201610801819A CN 106330565 A CN106330565 A CN 106330565A
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- data
- customer
- customer action
- atm device
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L63/00—Network architectures or network communication protocols for network security
- H04L63/12—Applying verification of the received information
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F11/00—Error detection; Error correction; Monitoring
- G06F11/07—Responding to the occurrence of a fault, e.g. fault tolerance
- G06F11/14—Error detection or correction of the data by redundancy in operation
- G06F11/1402—Saving, restoring, recovering or retrying
- G06F11/1446—Point-in-time backing up or restoration of persistent data
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q30/00—Commerce
- G06Q30/02—Marketing; Price estimation or determination; Fundraising
- G06Q30/0201—Market modelling; Market analysis; Collecting market data
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L41/00—Arrangements for maintenance, administration or management of data switching networks, e.g. of packet switching networks
- H04L41/14—Network analysis or design
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L43/00—Arrangements for monitoring or testing data switching networks
- H04L43/06—Generation of reports
Abstract
The invention discloses a customer behavior analysis method and system of ATM equipment. The customer behavior analysis method comprises the steps of when the ATM equipment executes a customer behavior, acquiring customer behavior data corresponding to customer behaviors at preset data acquisition points by the ATM equipment, and storing the acquired customer behavior data into a memory of the ATM equipment; performing legality verification on the customer behavior data, and backing up the behavior data, which is qualified in verification, to a preset database; analyzing data in the database at an interval of a preset time, and forming a corresponding analysis report according to an analysis result. According to the invention, data of customer behaviors of the ATM equipment is acquired, and analytic statistics is performed on the data by adopting a diagram, so that a problem that customer behaviors cannot be acquired and analyzed in an existing ATM equipment operation monitoring method is solved.
Description
Technical field
The present invention relates to atm device technical field, particularly to a kind of customer behavior analysis method of atm device and be
System.
Background technology
Along with the development of science and technology, all kinds of financial terminal equipments (hereinafter referred to as ATM) have spread all over streets and lanes, for people
There is provided life to also save the operation cost of bank the most simultaneously.In order to monitor the ruuning situation of each atm device, typically divide
For background monitoring and ATM local management two ways, background monitoring is to implant a monitoring process and remote server on ATM
Carrying out communication, it is achieved atm device is monitored by far-end control centre, control function specifically includes that remotely supervision, remotely control, version
Originally issue, Version Control, ad distribution, troubleshooting, statistical report form, add the functions such as paper money management.ATM local management is the fullest
Foot regular maintenance and supervision need, and general utility functions have equipment state to show, transaction journal is checked, parameter is arranged, clear adds paper money behaviour
Make.
But, the operation and monitoring method of existing atm device exists following not enough:
1, long-range monitoring and inquiry data are fairly simple.ATM monitoring system mainly meets daily monitoring and form demand, mainly
Obtain the transactional nature data etc. that equipment state, client are main.It is confined to software architecture, the frequency of ATM monitoring transmission instruction
There are strict requirements with transmission data, thus cause these data relatively simple, it is impossible to record similar client grasp in detail
Make the data such as action.
2, ATM local management display effect is poor, and statistical data is simple.Local management is the conventional operation of pipe crewman, manages at present
Mostly reason person's function is the conventional func such as the maintenance of some equipment states, flowing water log query.Profound data are not remembered
Record preserves, and lacks use habit and the transaction stream reflecting client around the service efficiency of this equipment and this atm device, additionally
Local management video data is many is displayed without visual picture displaying with list.
3, customer action data are lacked, it is impossible to proceed data mining.
Thus prior art could be improved and improve.
Summary of the invention
The technical problem to be solved in the present invention is, for the deficiencies in the prior art, it is provided that client's row of a kind of atm device
For analyzing method and system, to solve cannot customer action be adopted present in the operation and monitoring method of existing atm device
Collection and the problem analyzed.
In order to solve above-mentioned technical problem, the technical solution adopted in the present invention is as follows:
A kind of customer behavior analysis method of atm device, comprising:
When atm device performs customer action, atm device obtains the customer action corresponding to customer action of preset data collection point
Data are also stored in the internal memory of ATM;
Customer action data are carried out legitimacy verification, and the data base that qualified behavioral data backs up to preset will be verified;
At interval of the scheduled time, the data in described data base are analyzed, and are formed according to analysis result and analyze report accordingly
Accuse.
The customer behavior analysis method of described atm device, wherein, described at interval of the scheduled time in described data base
Data are analyzed, and also include after forming corresponding analysis report according to analysis result:
Data in described data base are uploaded to the server that atm device is pre-configured with.
The customer behavior analysis method of described atm device, wherein, described when atm device performs customer action, ATM sets
The customer action data that the customer action of standby acquisition preset data collection point is corresponding specifically include:
When atm device performs customer action, the operation that real-time monitoring reception arrives;
When described operation is data collection point, obtain the customer action data that described data collection point is corresponding;
Described customer action data in data collection point is associated, and customer action data after described association are stored in
In the internal memory of atm device.
Customer action data wherein, described are carried out legitimacy verification by the customer behavior analysis method of described atm device,
And the data base that the qualified behavioral data of verification backs up to preset is specifically included:
Customer action data carry out legitimacy verification, and wherein, the verification of described legitimacy includes the integrity of data and correct
Property;
If described customer action data check is qualified, then by described customer action data backup to volatile data base, wherein, described
Volatile data base is for storing the customer action data in preset time period;
The customer action data of its correspondence are screened according to customer action focus set in advance, and by client's row of described screening
For data backup to data base;
Delete described volatile data base.
The customer behavior analysis method of described atm device, wherein, described at interval of the scheduled time in described data base
Data are analyzed, and form corresponding analysis report according to analysis result particularly as follows:
The customer action data in time interval described in data base are chosen at interval of the scheduled time;
The customer action data of screening are analyzed, and form corresponding analysis report according to analysis result in graphical form.
A kind of customer behavior analysis system of atm device, comprising:
Acquisition module, for when atm device performs customer action, obtaining the client that described customer action data collection point is corresponding
Behavioral data is also stored in the internal memory of ATM;
Inspection module, for customer action data carry out legitimacy verification, and backs up to pre-by verifying qualified behavioral data
If data base;
Analyze module, for the data in described data base being analyzed at interval of the scheduled time, and according to analysis result shape
Become corresponding analysis report.
The customer behavior analysis system of described atm device, it also includes:
Upper transmission module, for being uploaded to, by the data in described data base, the server that atm device is pre-configured with.
The customer behavior analysis system of described atm device, wherein, described acquisition module specifically includes:
Monitoring unit, is used for when atm device performs customer action, the operation that real-time monitoring reception arrives;
Acquiring unit, for when described operation is data collection point, obtains the customer action number that described data collection point is corresponding
According to;
Memory element, for being associated described customer action data in data collection point, and by client's row after described association
It is stored in the internal memory of atm device for data.
The customer behavior analysis system of described atm device, wherein, described correction verification module specifically includes:
Verification unit, for customer action data carry out legitimacy verification, wherein, the verification of described legitimacy includes the complete of data
Whole property and correctness;
Backup units, for when described customer action data check is qualified, by described customer action data backup to nonce
According to storehouse, wherein, described volatile data base is for storing the customer action data in preset time period;
Screening unit, for screening the customer action data of its correspondence, and by institute according to customer action focus set in advance
State the customer action data backup of screening to data base;
Delete unit, be used for deleting described volatile data base.
The customer behavior analysis system of described atm device, wherein, described analysis module particularly as follows:
Choose unit, for choosing the customer action data in time interval described in data base at interval of the scheduled time;
Analytic unit, for being analyzed the customer action data of screening, and forms phase in graphical form according to analysis result
The analysis report answered.
Beneficial effect: compared with prior art, the invention provides a kind of customer behavior analysis method of atm device and is
System, described method includes: when atm device performs customer action, atm device obtains the customer action pair of preset data collection point
In the customer action data answered the internal memory being stored in ATM;Customer action data are carried out legitimacy verification, and will verify qualified
Behavioral data back up to the data base that presets;At interval of the scheduled time, the data in described data base are analyzed, and root
Corresponding analysis report is formed according to analysis result.The present invention is by being acquired the data of the customer action of atm device, and adopts
With chart, described data being analyzed statistics, solving cannot be to visitor present in the operation and monitoring method of existing atm device
The problem that family behavior is acquired and analyzes.
Accompanying drawing explanation
The flow chart that the customer behavior analysis method of the atm device that Fig. 1 provides for the present invention is preferably implemented.
The structure principle chart of the customer behavior analysis system of the atm device that Fig. 2 provides for the present invention.
Detailed description of the invention
The present invention provides the customer behavior analysis method and system of a kind of atm device, for making the purpose of the present invention, technical side
Case and effect are clearer, clear and definite, and the present invention is described in more detail for the embodiment that develops simultaneously referring to the drawings.Should be appreciated that
Specific embodiment described herein only in order to explain the present invention, is not intended to limit the present invention.
In the present invention, use the suffix being used for representing such as " module ", " parts " or " unit " of element only for favorably
In the explanation of the present invention, itself do not has specific meaning.Therefore, module ", " parts " or " unit " can mixedly make
With.
Terminal unit can be implemented in a variety of manners.Such as, the terminal described in the present invention can include such as moving
Phone, smart phone, notebook computer, digit broadcasting receiver, PDA (personal digital assistant), PAD (panel computer), PMP
The mobile terminal of (portable media player), guider etc. and consolidating of such as numeral TV, desk computer etc.
Determine terminal.However, it will be understood by those skilled in the art that, in addition to being used in particular for the element of mobile purpose, according to this
The structure of bright embodiment can also apply to the terminal of fixed type.
In the present invention, described CEN XFS be European Committee for Standardization (The European Committee for
Standardization:CEN) finance extended theorem (Extention for Financial Service:XFS);
WSAP be sing on web self-service application platform (Web-based Self-service Application Platform:
WSAP);
WSAPSDK is for developing SDK based on WSAP platform application program;
ATMC is the cross-platform software running on Possum based on WSAP platform;
ZJAX is specialty towards middleware product (the ATM Possum of shielding different vendor different model hard of ATMC software
Part difference, provides a unified access interface to upper strata, thus realizes cross-platform function at hardware driving layer);
The bsp driver meeting XFS standard interface that Service Provider provides for manufacturer.
Below in conjunction with the accompanying drawings, by the description to embodiment, summary of the invention is described further.
Refer to the stream of the preferred embodiment of the customer behavior analysis method of the atm device that Fig. 1, Fig. 1 provide for the present invention
Cheng Tu.Described method includes:
S100, when atm device performs customer action, atm device obtains the visitor corresponding to customer action of preset data collection point
Family behavioral data is also stored in the internal memory of ATM.
Specifically, described customer action refers to the associative operation that atm device is carried out by client, such as, insert bank card,
Select transaction, input password, input the amount of money, print strip, fetch bank card etc..Described customer action data refer to client couple
The associative operation that atm device is carried out is produced data on atm device.Described customer action data are to be entered by atm device
Row gathers.In actual applications, described atm device can gather customer action by the WSAP application being pre-configured with, described
WSAP application can be that browser based on IE uses WSAPSDK flow chart, VB, JS, HTML to develop realization.It is to say, work as
When WSAP application goes to data collection point, gather the data of customer action corresponding to described data collection point, and by described number
According in the internal memory being stored in WSAP application.Described WSAP application can based on ZJAX according to CEN XFS complete Service
Provider interface encapsulation obtains the customer action data of atm device.
Described data collection point is recorded as according to pre-setting according to atm device customer action, described data acquisition
Point is for the complete customer action performance data recording whole ATM.Described performance data can include that customer information, hardware are dynamic
Make information and Transaction Information.Described customer information can include inserting the bank card time, fetching time of bank card, client
Card number, the function statistics of customer selecting, client is in the time of staying etc. of each page;Described hardware action information can include
Become beginning and ending message, hardware fault particular content and the temporal information etc. of instruction;Described Transaction Information can include transaction
Characteristic, transaction start and end time etc.;Administrator Info: manager logs in post-set time, selects function, the page to stop
Stay the time etc..In the present embodiment, described data collection point is for inserting bank card, fetching bank card and select transaction.
Further, when gathering customer action data according to data collection point, bank card will be inserted as client's row
For beginning, will fetch bank card as one transaction end point.Correspondingly, described atm device execution customer action is permissible
The operation being inserted bank card by detection judges whether atm device starts to perform customer action, and the behaviour of bank card is fetched in detection
Make to judge whether atm device terminates.Thus one can also be included for sentencing before when atm device performs customer action
Disconnected atm device starts to perform the detection process of customer action, and it specifically may include that
Described atm device monitors the operation inserting bank card;
When listening to insert bank card operation, it is determined that described atm device performs customer action, to start customer action data acquisition
Collection function.
In the present embodiment, described when atm device performs customer action, atm device obtains preset data collection point
Customer action data that customer action is corresponding also specifically include in being stored in the internal memory of ATM:
S101, when atm device perform customer action time, the operation that real-time monitoring reception arrives;
S102, when described operation is data collection point, obtain the customer action data that described data collection point is corresponding;
S103, described customer action data in data collection point is associated, and customer action data after described association are deposited
It is stored in the internal memory of atm device.
Specifically, when listening to user and carrying out operation corresponding to data collection point, described atm device collection client is triggered
The function of behavioral data, atm device gathers the customer action data that described data collection point is corresponding.Setting according to data collection point
Put, a process of exchange may gather multiple customer action data.In actual applications, will snap into take from inserting bank
Return bank card as a process of exchange, and by being associated according to data collection point collection during described, will association
After customer action data corresponding to customer action of data be stored in the internal memory of atm device.So can clear and definite really
Customer action in a fixed process of exchange and conducted in this process of exchange, it is simple to the follow-up analysis to customer action.
S200, customer action data are carried out legitimacy verification, and will verify what qualified behavioral data backed up to preset
Data base.
Specifically, the described legitimate verification that carries out customer action data refers to the client's row in a process of exchange
Legitimate verification is carried out for data.Also just say, the customer action data of one group of association are carried out legal checking.
Described customer action data are carried out legitimacy verification be specially described customer action data are carried out data classification
Collect, the data after collecting are carried out records integrity and correctness etc. and verifies, to realize the checking of data validation.
The checking of described record integrity and correctness can be verified according to the standard pre-set, and such as, pre-sets note
Record complete standard, standard complete with preset recording for the record of described acquisition data is contrasted, if described record symbol
The requirement of standardization, the completeness check success of the most described customer data.In actual applications, the standard that described record is complete can
To include inserting the bank card time, fetching the bank card time and select transaction.When the customer action data of one group of association include
Insert the bank card time, fetch the bank card time and select transaction, then judge that the customer action data that this group associates are complete.Right
Judgement in the correctness of customer action data can judge according to preset standard, and it is this area public affairs prior art, this
In state the most one by one.
In the present embodiment, described customer action data are carried out legitimacy verification, and by behavioral data qualified for verification
The data base backing up to preset can specifically include:
S201, customer action data are carried out legitimacy verification, wherein, the verification of described legitimacy include data integrity and
Correctness;
If S202 described customer action data check is qualified, then by described customer action data backup to volatile data base, its
In, described volatile data base is for storing the customer action data in preset time period;
S203, screen the customer action data of its correspondence according to customer action focus set in advance, and by described screening
Customer action data backup is to data base;
S204, delete described volatile data base.
Specifically, described volatile data base is for storing the customer action data in preset time period.In actual applications,
Owing to atm device can restart eventually in day, thus described Preset Time is set to one day, say, that described nonce
According to being only used for storage customer action data on the same day.So before atm device day restarts eventually, atm device can be to ephemeral data
Customer action data in storehouse are extracted, and screen described customer action data according to default focus, will screening
The customer action data backup obtained is to the data base of atm device.Delete the nonce of storage customer action data on the same day simultaneously
According to storehouse.Described focus can be default setting, can arrange according to analysis demand.Such as, described focus is for handing over
Easily type, type of transaction can be deposit, withdraw the money and transfer accounts.
S300, at interval of the scheduled time, the data in described data base are analyzed, and form phase according to analysis result
The analysis report answered.
Specifically, the data in described data base are analyzed referring to data by described atm device at interval of the scheduled time
Interior all data are analyzed, it is also possible to be to be analyzed the data in certain time period.Described atm device is in data base
The most stored total data analyzed and concludes, using the visual means display data storehouse collection such as statistical graph, broken line graph
Every data message.Such as, formed according to the data analysis in data base include per diem, the moon, the number of each transaction of the time such as year
At spirogram table, quantitative comparison's chart of each transaction, transaction duration statistical graph, hardware fault time trend figure, equipment
Time statistical graph, management operating time chart etc. in guest operation.In actual applications, permissible to the data in data base
Using the methods such as cluster analysis to be analyzed concluding, described clustering methodology is the prior art in data analysis field, the most just
State the most one by one.
In the present embodiment, described at interval of the scheduled time, the data in described data base are analyzed, and according to point
Analysis result forms corresponding analysis report and specifically may include that
S301, choose the customer action data in time interval described in data base at interval of the scheduled time;
S302, customer action data to screening are analyzed, and form corresponding analysis in graphical form according to analysis result
Report.
In another embodiment of the present invention, the data in described data base are carried out at interval of the scheduled time described
Analyze, and can also include after forming corresponding analysis report according to analysis result:
S400, the data in described data base are uploaded to the server that atm device is pre-configured with.
Specifically, the data in described data base are uploaded to the server that atm device is pre-configured with and refer to described data
The data of ephemeral data library backup are uploaded to the server being pre-configured with by storehouse.And when the data of storage are carried out by atm device
Analysis obtains analysis result and also uploads onto the server.So server can from which further follow that according to the analysis result of atm device
Some directiveness conclusions, such as client's function transaction scale and transaction duration can be analyzed and draw ATM application function layout optimization
Suggestion conclusion;The maintenance rate statistical information of ATM hardware fault rate equipment can analyze the stability knot of the equipment of each manufacturer
Opinion, and then instruct the buying of atm device;Customer service hours statistical result can show that the number of devices of certain site is the most sufficient
Enough, current destination ATM quantity increase and decrease etc. can be instructed.Customer action statistics and analysis is that other more big data analysiss carry
Supply data support.Certainly, the data received can be analyzed by server voluntarily, to obtain analysis result, and according to
Described analysis result provides directiveness conclusion as above.
Present invention also offers the customer behavior analysis system of a kind of atm device, as in figure 2 it is shown, comprising:
Acquisition module 100, for when atm device performs customer action, obtaining described customer action data collection point corresponding
Customer action data are also stored in the internal memory of ATM;
Inspection module 200, for customer action data carry out legitimacy verification, and backs up to verifying qualified behavioral data
The data base preset;
Analyze module 300, for the data in described data base being analyzed at interval of the scheduled time, and according to analysis result
Form corresponding analysis report.
The customer behavior analysis system of described atm device, it also includes:
Upper transmission module, for being uploaded to, by the data in described data base, the server that atm device is pre-configured with.
The customer behavior analysis system of described atm device, wherein, described acquisition module specifically includes:
Monitoring unit, is used for when atm device performs customer action, the operation that real-time monitoring reception arrives;
Acquiring unit, for when described operation is data collection point, obtains the customer action number that described data collection point is corresponding
According to;
Memory element, for being associated described customer action data in data collection point, and by client's row after described association
It is stored in the internal memory of atm device for data.
The customer behavior analysis system of described atm device, wherein, described correction verification module specifically includes:
Verification unit, for customer action data carry out legitimacy verification, wherein, the verification of described legitimacy includes the complete of data
Whole property and correctness;
Backup units, for when described customer action data check is qualified, by described customer action data backup to nonce
According to storehouse, wherein, described volatile data base is for storing the customer action data in preset time period;
Screening unit, for screening the customer action data of its correspondence, and by institute according to customer action focus set in advance
State the customer action data backup of screening to data base;
Delete unit, be used for deleting described volatile data base.
The customer behavior analysis system of described atm device, wherein, described analysis module particularly as follows:
Choose unit, for choosing the customer action data in time interval described in data base at interval of the scheduled time;
Analytic unit, for being analyzed the customer action data of screening, and forms phase in graphical form according to analysis result
The analysis report answered.
The modules of the customer behavior analysis system of above-mentioned atm device is described in detail, the most at this
In state the most one by one.
In embodiment provided by the present invention, it should be understood that disclosed system and method, can be passed through other
Mode realizes.Such as, device embodiment described above is only schematically, such as, the division of described module, it is only
A kind of logic function divides, actual can have when realizing other dividing mode, the most multiple unit or assembly can in conjunction with or
Person is desirably integrated into another system, or some features can be ignored, or does not performs.Another point, shown or discussed is mutual
Between coupling direct-coupling or communication connection can be the INDIRECT COUPLING by some interfaces, device or unit or communication link
Connect, can be electrical, machinery or other form.
The described unit illustrated as separating component can be or may not be physically separate, shows as unit
The parts shown can be or may not be physical location, i.e. may be located at a place, or can also be distributed to multiple
On NE.Some or all of unit therein can be selected according to the actual needs to realize the mesh of the present embodiment scheme
's.
It addition, each functional unit in each embodiment of the present invention can be integrated in a processing unit, it is also possible to
It is that unit is individually physically present, it is also possible to two or more unit are integrated in a unit.Above-mentioned integrated list
Unit both can realize to use the form of hardware, it would however also be possible to employ hardware adds the form of SFU software functional unit and realizes.
The above-mentioned integrated unit realized with the form of SFU software functional unit, can be stored in an embodied on computer readable and deposit
In storage media.Above-mentioned SFU software functional unit is stored in a storage medium, including some instructions with so that a computer
Equipment (can be personal computer, server, or the network equipment etc.) or processor (processor) perform the present invention each
The part steps of method described in embodiment.And aforesaid storage medium includes: USB flash disk, portable hard drive, read only memory (Read-
Only Memory, ROM), random access memory (Random Access Memory, RAM), magnetic disc or CD etc. various
The medium of program code can be stored.
Last it is noted that above example is only in order to illustrate technical scheme, it is not intended to limit;Although
With reference to previous embodiment, the present invention is described in detail, it will be understood by those within the art that: it still may be used
So that the technical scheme described in foregoing embodiments to be modified, or wherein portion of techniques feature is carried out equivalent;
And these amendment or replace, do not make appropriate technical solution essence depart from various embodiments of the present invention technical scheme spirit and
Scope.
Claims (10)
1. the customer behavior analysis method of an atm device, it is characterised in that comprising:
When atm device performs customer action, atm device obtains the customer action corresponding to customer action of preset data collection point
Data are also stored in the internal memory of ATM;
Customer action data are carried out legitimacy verification, and the data base that qualified behavioral data backs up to preset will be verified;
At interval of the scheduled time, the data in described data base are analyzed, and are formed according to analysis result and analyze report accordingly
Accuse.
The customer behavior analysis method of atm device the most according to claim 1, it is characterised in that described at interval of pre-timing
Between the data in described data base are analyzed, and also include after forming corresponding analysis report according to analysis result:
Data in described data base are uploaded to the server that atm device is pre-configured with.
The customer behavior analysis method of atm device the most according to claim 1, it is characterised in that described when atm device execution
During customer action, atm device obtains the customer action data corresponding to customer action of preset data collection point and is stored in ATM's
Internal memory specifically includes:
When atm device performs customer action, the operation that real-time monitoring reception arrives;
When described operation is data collection point, obtain the customer action data that described data collection point is corresponding;
Described customer action data in data collection point is associated, and customer action data after described association are stored in
In the internal memory of atm device.
The customer behavior analysis method of atm device the most according to claim 1, it is characterised in that described to customer action number
According to carrying out legitimacy verification, and the data base that the qualified behavioral data of verification backs up to preset is specifically included:
Customer action data carry out legitimacy verification, and wherein, the verification of described legitimacy includes the integrity of data and correct
Property;
If described customer action data check is qualified, then by described customer action data backup to volatile data base, wherein, described
Volatile data base is for storing the customer action data in preset time period;
The customer action data of its correspondence are screened according to customer action focus set in advance, and by client's row of described screening
For data backup to data base;
Delete described volatile data base.
The customer behavior analysis method of atm device the most according to claim 1, it is characterised in that described at interval of pre-timing
Between the data in described data base are analyzed, and form corresponding analysis report according to analysis result particularly as follows:
The customer action data in time interval described in data base are chosen at interval of the scheduled time;
The customer action data of screening are analyzed, and form corresponding analysis report according to analysis result in graphical form.
6. the customer behavior analysis system of an atm device, it is characterised in that comprising:
Acquisition module, for when atm device performs customer action, obtaining the client that described customer action data collection point is corresponding
Behavioral data is also stored in the internal memory of ATM;
Inspection module, for customer action data carry out legitimacy verification, and backs up to pre-by verifying qualified behavioral data
If data base;
Analyze module, for the data in described data base being analyzed at interval of the scheduled time, and according to analysis result shape
Become corresponding analysis report.
The customer behavior analysis system of atm device the most according to claim 6, it is characterised in that it also includes:
Upper transmission module, for being uploaded to, by the data in described data base, the server that atm device is pre-configured with.
The customer behavior analysis system of the most described atm device, it is characterised in that described acquisition module
Specifically include:
Monitoring unit, is used for when atm device performs customer action, the operation that real-time monitoring reception arrives;
Acquiring unit, for when described operation is data collection point, obtains the customer action number that described data collection point is corresponding
According to;
Memory element, for being associated described customer action data in data collection point, and by client's row after described association
It is stored in the internal memory of atm device for data.
The customer behavior analysis method of atm device the most according to claim 6, it is characterised in that described correction verification module is concrete
Including:
Verification unit, for customer action data carry out legitimacy verification, wherein, the verification of described legitimacy includes the complete of data
Whole property and correctness;
Backup units, for when described customer action data check is qualified, by described customer action data backup to nonce
According to storehouse, wherein, described volatile data base is for storing the customer action data in preset time period;
Screening unit, for screening the customer action data of its correspondence, and by institute according to customer action focus set in advance
State the customer action data backup of screening to data base;
Delete unit, be used for deleting described volatile data base.
The customer behavior analysis system of atm device the most according to claim 6, it is characterised in that described analysis module is concrete
For:
Choose unit, for choosing the customer action data in time interval described in data base at interval of the scheduled time;
Analytic unit, for being analyzed the customer action data of screening, and forms phase in graphical form according to analysis result
The analysis report answered.
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Cited By (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN107767066A (en) * | 2017-10-31 | 2018-03-06 | 浪潮金融信息技术有限公司 | Wisdom site user behavior analysis method and device, storage medium and terminal |
CN108269368A (en) * | 2018-01-17 | 2018-07-10 | 深圳怡化电脑股份有限公司 | Fault determination method and device, the card reader and storage medium of card reader |
US11604678B2 (en) * | 2020-03-27 | 2023-03-14 | Bank Of America Corporation | System for resource usage modification based on resource services |
Citations (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US20050097047A1 (en) * | 1996-11-27 | 2005-05-05 | Diebold, Incorporated | Automated banking machine and system |
CN101814198A (en) * | 2009-12-13 | 2010-08-25 | 无锡市美普索特电子科技有限公司 | Management center machine of cinema ticketing system |
CN103325187A (en) * | 2013-06-19 | 2013-09-25 | 深圳市紫金支点技术股份有限公司 | ATM (automatic teller machine) running state statistics method and system based on comprehensive turn-on rate |
CN104225919A (en) * | 2014-07-29 | 2014-12-24 | 苏州乐米信息科技有限公司 | User behavior analysis system applied to mobile game |
-
2016
- 2016-09-05 CN CN201610801819.7A patent/CN106330565A/en active Pending
Patent Citations (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US20050097047A1 (en) * | 1996-11-27 | 2005-05-05 | Diebold, Incorporated | Automated banking machine and system |
CN101814198A (en) * | 2009-12-13 | 2010-08-25 | 无锡市美普索特电子科技有限公司 | Management center machine of cinema ticketing system |
CN103325187A (en) * | 2013-06-19 | 2013-09-25 | 深圳市紫金支点技术股份有限公司 | ATM (automatic teller machine) running state statistics method and system based on comprehensive turn-on rate |
CN104225919A (en) * | 2014-07-29 | 2014-12-24 | 苏州乐米信息科技有限公司 | User behavior analysis system applied to mobile game |
Cited By (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN107767066A (en) * | 2017-10-31 | 2018-03-06 | 浪潮金融信息技术有限公司 | Wisdom site user behavior analysis method and device, storage medium and terminal |
CN108269368A (en) * | 2018-01-17 | 2018-07-10 | 深圳怡化电脑股份有限公司 | Fault determination method and device, the card reader and storage medium of card reader |
US11604678B2 (en) * | 2020-03-27 | 2023-03-14 | Bank Of America Corporation | System for resource usage modification based on resource services |
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