CN109598597A - Business datum classifying method, device and storage medium, server - Google Patents
Business datum classifying method, device and storage medium, server Download PDFInfo
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Abstract
The present invention relates to data processings, risk management and control technical field, more particularly to a kind of business datum classifying method, device and storage medium, server, including: includes: creation data list, generates general ledger data list to the definition of the multinomial gauge outfit of data list based on the received；Real time traffic data corresponding with the gauge outfit of general ledger data list is obtained from operation system by default link interface；The default classifying rules in data classification table is obtained, is classified according to classifying rules is preset to the real time traffic data in general ledger data list.The application passes through access billing and accounting system, accounting data required for general ledger can be obtained automatically, by presetting classifying rules, and then automatic classification of the realization to data, and then realize and obtain general ledger data on demand at any time, convenient for the analysis or prediction to general ledger data, since data are to obtain automatically, manual processing effort is reduced, it is automatic to obtain the accuracy that can also ensure that data acquisition, avoid the data for leading to obtain mistake of manual operation.
Description
Technical field
The present invention relates to data processings, risk management and control technical field, and in particular to a kind of business datum classifying method, device
And storage medium, server.
Background technique
In recent years, it with the construction of large enterprise's Financial Information System, needs to it, a large amount of financial data carries out whole
Reason.Conventional financial data first summarizes financial data when arranging, convenient to carry out taxonomic revision to financial data, in turn
Convenient for being further analyzed to financial data, however there are the following problems: general ledger data for existing financial data Collator Mode
Data are obtained from backstage manually by IT personnel, while the expense category of financial data is divided manually by financial staff
Class, in order to carry out the analysis in later period to financial data, the time which spends is longer, and causing can not be preferably to finance
The financial data that data are predicted, and predicted and real data error are larger, and then can not be made based on financial data
The decision of science.
Summary of the invention
To overcome the above technical problem, especially financial data obtain not in time, financial data classification time long problem,
Spy proposes following technical scheme:
A kind of business datum classifying method provided in an embodiment of the present invention, comprising:
Data list is created, general ledger data list is generated to the definition of the multinomial gauge outfit of data list based on the received；
It is obtained from operation system by default link interface corresponding with the gauge outfit of the general ledger data list real-time
Business datum；
The default classifying rules in data classification table is obtained, according to the default classifying rules to the general ledger data list
In the real time traffic data classify.
Optionally, the default classifying rules obtained in data classification table, comprising:
The data-interface connect with the data classification watch chain is created in the general ledger data list；
The default classifying rules in the data classification table is obtained by the data-interface.
Optionally, described that the business datum in the general ledger data list is carried out according to the default classifying rules
After classification, comprising:
Obtain business datum classification logotype in the default classifying rules；
The business datum classification logotype of corresponding classification is identified to the sorted real time traffic data.
Optionally, it is described according to the default classifying rules to the real time traffic data in the general ledger data list
After being classified, comprising:
Business datum report is obtained, the reference data in the business datum report is extracted；
According to the classification of real time traffic data described in the general ledger data list, by the real time traffic data with it is described
Generic reference data is checked in business datum report；
Judge whether the real time traffic data matches with the reference data；
When the real time traffic data and reference data mismatch, business personnel's account information is obtained；
Prompting message is sent to the business personnel according to the account information.
Optionally, described that the gauge outfit phase with the general ledger data list is obtained from operation system by default link interface
Corresponding real time traffic data, comprising:
It is obtained from operation system and the general ledger data list according to preset period of time by presetting link interface
The corresponding real time traffic data of gauge outfit.
Optionally, it is described according to the default classifying rules to the real time traffic data in the general ledger data list
After being classified, comprising:
Obtained sorted history service data in general ledger data list described in business datum prediction model and a upper period；
According to the sorted real time traffic data, the history service number in general ledger data list described in current period
According to the business datum prediction model, predict the business datum in next period.
The embodiment of the invention also provides a kind of business datum categorization arrangements, comprising:
General ledger data list generation module, for creating data list, based on the received to the multinomial gauge outfit of data list
Definition generates general ledger data list；
Business datum obtains module, arranges for being obtained from operation system by default link interface with the general ledger data
The corresponding real time traffic data of the gauge outfit of table；
Categorization module, for obtaining the default classifying rules in data classification table, according to the default classifying rules to institute
The real time traffic data stated in general ledger data list is classified.
Optionally, in the categorization module, comprising:
Data-interface creating unit, for creating the number connect with the data classification watch chain in the general ledger data list
According to interface；
Default classification rule acquisition unit, it is described pre- in the data classification table for being obtained by the data-interface
If classifying rules.
The embodiment of the invention also provides a kind of computer readable storage medium, deposited on the computer readable storage medium
Computer program is contained, which realizes business datum classifying method described in any technical solution when being executed by processor.
The embodiment of the invention also provides a kind of servers, comprising:
One or more processors；
Memory；
One or more application program, wherein one or more of application programs are stored in the memory and quilt
It is configured to be executed by one or more of processors, one or more of application programs are configured to carry out according to any skill
Described in art scheme the step of business datum classifying method.
Compared with the prior art, the present invention has the following beneficial effects:
1, a kind of business datum classifying method provided by the embodiments of the present application, comprising: creation data list, based on the received
General ledger data list is generated to the definition of the multinomial gauge outfit of data list；It is obtained from operation system by default link interface and institute
State the corresponding real time traffic data of gauge outfit of general ledger data list；Obtain the default classifying rules in data classification table, foundation
The default classifying rules classifies to the real time traffic data in the general ledger data list.The application passes through access
Billing and accounting system can obtain accounting data required for general ledger automatically, while accessing preset data and dividing list, convenient for obtaining
Wherein classifying rules, and then realize the automatic classification to data, and then realize and obtain general ledger data on demand at any time, convenient for general ledger
The analysis or prediction of data reduce manual processing effort since data are to obtain automatically, and automatic obtain can also ensure that data
The accuracy of acquisition avoids the data for leading to obtain mistake of manual operation.
2, a kind of business datum classifying method provided by the embodiments of the present application, it is described according to the default classifying rules to institute
It states after the real time traffic data in general ledger data list classified, comprising: business datum report is obtained, described in extraction
Reference data in business datum report；It, will be described according to the classification of real time traffic data described in the general ledger data list
Real time traffic data is checked with reference data generic in the business datum report；Judge the real time traffic data
Whether matched with the reference data；When the real time traffic data and reference data mismatch, business personnel's account is obtained
Family information；Prompting message is sent to the business personnel according to the account information.By obtaining finance report automatically in the application
Reference data in table, can be based on business datum classification (such as level-one section purpose amount of money) and financial data in general ledger data list
The amount of money corresponded in classification in report is checked, and realizes automatic acquisition reference data, while can also automatic checking guarantee
The accuracy of data, in inaccuracy, additionally it is possible to send prompting message to corresponding financial staff, enable corresponding personnel
Corresponding business datum is checked.
The additional aspect of the present invention and advantage will be set forth in part in the description, these will become from the following description
Obviously, or practice through the invention is recognized.
Detailed description of the invention
Above-mentioned and/or additional aspect and advantage of the invention will become from the following description of the accompanying drawings of embodiments
Obviously and it is readily appreciated that, in which:
Fig. 1 is a kind of flow diagram of embodiment in the exemplary embodiments of business datum classifying method of the present invention；
Fig. 2 is the flow diagram of another embodiment in the exemplary embodiments of business datum classifying method of the present invention；
Fig. 3 is the structural schematic diagram of the exemplary embodiments of business datum categorization arrangement of the present invention；
Fig. 4 is an example structure schematic diagram of server of the present invention.
Specific embodiment
The embodiment of the present invention is described below in detail, examples of the embodiments are shown in the accompanying drawings, wherein from beginning to end
Same or similar label indicates same or similar element or element with the same or similar functions.Below with reference to attached
The embodiment of figure description is exemplary, and for explaining only the invention, and is not construed as limiting the claims.
Those skilled in the art of the present technique are appreciated that unless expressly stated, singular " one " used herein, " one
It is a ", " described " and "the" may also comprise plural form.It is to be further understood that being arranged used in specification of the invention
Diction " comprising " refers to that there are the feature, integer, step, operations, but it is not excluded that in the presence of or addition it is one or more other
Feature, integer, step, operation.
Those skilled in the art of the present technique are appreciated that unless otherwise defined, all terms used herein (including technology art
Language and scientific term), there is meaning identical with the general understanding of those of ordinary skill in fields of the present invention.Should also
Understand, those terms such as defined in the general dictionary, it should be understood that have in the context of the prior art
The consistent meaning of meaning, and unless idealization or meaning too formal otherwise will not be used by specific definitions as here
To explain.
It will be appreciated by those skilled in the art that so-called " application ", " application program ", " application software " and class of the invention
It is same concept well known to those skilled in the art like the concept of statement, refers to and instructed by series of computation machine and related data
The computer software for being suitable for electronics operation of the organic construction of resource.Unless specified, this name itself is not by programming language
Type, rank, the operating system of operation of also not rely by it or platform are limited.In the nature of things, this genus also not by appoint
The terminal of what form is limited.
The business datum classifying method of the application is mainly used in financial data system, and the system and account phase
Relationship system is connected, in order to obtain the business datum in billing and accounting system, to realize that general ledger data obtain automatically, convenient for general ledger
Data are classified and are checked, and the treatment effeciency of accounting data is improved, while the prediction that can also improve to accounting data is accurate
Property etc..
A kind of business datum classifying method provided by the embodiments of the present application, in a kind of wherein embodiment, such as Fig. 1 institute
Show, comprising: S100, S200, S300.
S100: creation data list generates general ledger data list to the definition of the multinomial gauge outfit of data list based on the received；
S200: it is obtained from operation system by default link interface corresponding with the gauge outfit of the general ledger data list
Real time traffic data；
S300: the default classifying rules in data classification table is obtained, according to the default classifying rules to the general ledger number
Classify according to the real time traffic data in list.
Data list is created in custom system, and the multinomial gauge outfit of the data list is defined, and system is in response to preceding
State the operation of user in systems, i.e. creation data list, and receive definition of the user to data list header, in completion
Afterwards, the data list for defining gauge outfit based on user generates general ledger data list.Specifically, user is by project needed for general ledger data
In (gauge outfit i.e. above-mentioned, containing accounts, subject, summary info etc.) input system, in order to rapidly get operation system
In business datum, the number that connect and can obtain business in operation system with operation system is provided in general ledger data list
According to link interface, and then the definition of user can be had more, link interface is preset by this and is got from operation system in real time
Business datum.In order to embody the concise property of general ledger data, the gauge outfit based on general ledger data list is obtained from operation system
Corresponding real time traffic data, such as operation system includes financial system, business datum when including financial data, in order to core
It is whether correct to financial data, and can classify to financial data, financial number is obtained from financial system by the link
According to based on the gauge outfit project acquisition of information financial data corresponding with its gauge outfit project in general ledger data list.In order to
Timely update the data in general ledger data list, the accuracy that the raising later period predicts business datum, in operation system
It is timely to obtain changed business datum in operation system when business datum changes, and in general ledger data list
Increase new business datum or update and/or modify former business datum, to guarantee that data are completely correct in general ledger data list
Property, facilitate analysis and/or prediction of the later period to data in general ledger data list.In general ledger data list the project category of gauge outfit with
One or more of financial data classification is identical in financial system, based on both identical classification, ledger database is from wealth
The data of the two the same category are obtained in business system, for example, table 1 is financial data table, table 2 is general ledger data list.In 1 He of table
Gauge outfit having the same, i.e. aforementioned categories in table 2.Based on identical classification, ledger database is obtained from financial information system
Data under the same category, if the data under set of books title, period, voucher number, credential source, debit in table 2 are from table 1
It acquires.And then the amount of money got is counted convenient for general ledger number library, such as " this month occurs " corresponding amount of money in table 2
Variation.
Table 1
Table 2
Further, in order to realize the classification to the projects being determined clearly in general ledger data, based on aforementioned pre-
It is convenient to the later period in order to which sorted data are analyzed and checked if classifying rules classifies to the data in table 2
The prediction of data provides necessary foundation for science decision.Provide classifying rules as shown in table 3.
Specifically, the business for being 2 such as the level-one subject in classifying rules, such as voucher number can also be increased in Tables 1 and 2
Data, increase level-one subject are financial expenses.When being classified according to level-one subject, classify according to the order traversal in table
Voucher number, based on the running cost after the level-one subject, is 2 when traversing level-one subject is financial expenses by rule
Business datum is classified as running cost.Tables 1 and 2 is only exemplary the data and general ledger data column indicated in financial system
Data in table, can also include the field of other gauge outfits in Tables 1 and 2, which can be based on corresponding in classifying rules
Field is increased, and in order to classify to business datum, other business datums are sorted out using identical method.
Optionally, the default classifying rules obtained in data classification table, comprising:
The data-interface connect with the data classification watch chain is created in the general ledger data list；
The default classifying rules in the data classification table is obtained by the data-interface.
In conjunction with described previously, in order to realize it is aforementioned real time traffic data is rapidly got from operation system, in sum
According to creating the data-interface that links with data classification list in list, so facilitate general ledger system can be based on the data-interface from
Corresponding classifying rules is obtained in data classification list, such as table 3 is data classification list above, has been corresponded to specifically in row in the table
Classifying rules (i.e. the default classifying rules of the application), and then can be based on the classifying rules in data classification list to master station
The not middle data of data column are classified.
Optionally, described that the business datum in the general ledger data list is carried out according to the default classifying rules
After classification, comprising:
Obtain business datum classification logotype in the default classifying rules；
The business datum classification logotype of corresponding classification is identified to the sorted real time traffic data.
It, being capable of root when convenient for rechecking in order to preferably embody the classification of business datum in general ledger data list
According to the data of the corresponding classification verification category, business datum classification logotype is (in such as table 3 " classification " in the default classifying rules of acquisition
Corresponding field under project), the corresponding real time traffic data is identified to the business of corresponding classification in general ledger data list
Data Identification (corresponding field under " classification " project in such as table 2).
Optionally, in a kind of wherein embodiment, as shown in Fig. 2, it is described according to the default classifying rules to described
After the real time traffic data in general ledger data list is classified, comprising: S510, S520, S530, S540, S550.
S510: business datum report is obtained, the reference data in the business datum report is extracted；
S520: according to the classification of real time traffic data described in the general ledger data list, by the real time traffic data
It is checked with reference data generic in the business datum report；
S530: judge whether the real time traffic data matches with the reference data；
S540: when the real time traffic data and reference data mismatch, business personnel's account information is obtained；
S550: prompting message is sent to the business personnel according to the account information.
After the completion of business datum in general ledger data list is classified, in order to guarantee the accuracy of data, need to acquisition
It is checked to the business datum in general ledger data list.Business datum report is obtained, includes to be used in business datum report
The reference data of business datum is checked, and the reference data also has corresponding classification, includes general ledger in business datum report
The corresponding classification of each real time traffic data in data list.Therefore, when carrying out verification of data, according to each in general ledger data list
Whether the data that classification is corresponded in the corresponding classification lookup business datum report of real time traffic data match, when mismatching, then
The account information of corresponding business personnel is obtained, the account information of business personnel is to be arranged in systems in advance, and then passing through should
Account information phase business personnel send prompting message, such as account information can for phone number, third party's signal procedure or
The included signal procedure etc. of system, is sent to business personnel by way of sending short message, making a phone call or send mail and is reminded
Information.And then the business datum is checked convenient for business personnel, if having input error or other mistakes etc..In conjunction with preceding
It states bright, is described further by following example.As previously mentioned, when business datum is financial data, business datum report
Table is financial data report, and the respective items purpose amount of money in the amount of money in general ledger data list and business datum report is compared,
Judge whether the amount of money in general ledger data list wrong, after the completion of general ledger data classification, based on due to the process be and its from
It is dynamic to be checked, and then improve the efficiency of verification.When there is level-one subject in table 2, then according to level-one subject (in) and wealth
The expenses of corresponding accounts is checked in business report, such as according to level-one account classification after, voucher number is respective items business datum for 2
When classification is running cost, checked based on the running cost and the running cost in data sheet, in order to more convenient
Verification is counted, verification efficiency is improved, also to carry out business datum same category of in general ledger data in statistics and bordereau
Data checked, such as will be all that corresponding with running cost in the financial data report amount of money of the amount of money of running cost carries out core
It is right, judge whether the two amount of money matches.In other implementations, the expense of manpower scientific and technological in table 2 and finance can also be reported
Data in table are checked, and determine whether the amount of money of the two is equal.It, then can be by mode above-mentioned to correspondence when mismatching
Personnel send prompting message so that corresponding personnel can check business datum.
Optionally, described that the gauge outfit phase with the general ledger data list is obtained from operation system by default link interface
Corresponding real time traffic data, comprising:
It is obtained from operation system and the general ledger data list according to preset period of time by presetting link interface
The corresponding real time traffic data of gauge outfit.
In order to improve the utilization rate of system, default connect from operation system by above-mentioned based on preset period of time
Mouth obtains the business datum in a period of time, and system can be used to obtain other within the period for not obtaining the business datum
Business datum, due to only obtaining the business datum of a small amount of correspondence period, while also improving data when to acquisition time
Acquisition speed.The business datum that period obtains is also convenient for predicting the trend of later period business datum, convenient for being based on the prediction
As a result the decision of science is made.
For example, requiring realization regularly to obtain financial data to meet user, so that user can in conjunction with described previously
Calculate or analyze financial data based on the financial data, the period that user setting financial data information obtains,
Such as monthly, season, year obtain corresponding financial data.In order to which user can understand wealth in corresponding timing node in time
Business situation.
Optionally, it is described according to the default classifying rules to the real time traffic data in the general ledger data list
After being classified, comprising:
Obtained sorted history service data in general ledger data list described in business datum prediction model and a upper period；
According to the sorted real time traffic data, the history service number in general ledger data list described in current period
According to the business datum prediction model, predict the business datum in next period.
It makes for the business datum to the later period and accurately estimating, obtained the history service data and business number in a upper period
According to prediction model, business datum, history service data and business personnel's data prediction model based on current period predict next week
The business datum of phase.For example, in order to preferably be that later period finance carry out budget, the financial number after obtaining a upper periodic classification
It is believed that breath, by the financial data information after the sorted financial data of current period, a upper periodic classification and presets finance
Prediction model predicts the financial data in next period, and then carries out financial planning convenient for user, improves project funds utilization rate.Such as
Default finance model: the current financial number of (| current financial data-history financial data |/current financial data) * fluctuating range *
According to wherein financial data can be Fee Amount of all categories.
A kind of business datum categorization arrangement is also provided in the embodiment of the present invention, in a kind of wherein embodiment, such as Fig. 3
It is shown, comprising:
The embodiment of the invention also provides a kind of business datum categorization arrangements, comprising: general ledger data list generation module
100, for creating data list, general ledger data list is generated to the definition of the multinomial gauge outfit of data list based on the received；Business
Data acquisition module 200, for being obtained from operation system and the gauge outfit of the general ledger data list by default link interface
Corresponding real time traffic data；Categorization module 300, for obtaining the default classifying rules in data classification table, according to described in
Default classifying rules classifies to the real time traffic data in the general ledger data list.In the categorization module,
It include: data-interface creating unit 310, for creating the number connect with the data classification watch chain in the general ledger data list
According to interface；Default classification rule acquisition unit 320, described in being obtained in the data classification table by the data-interface
Default classifying rules.Identifier acquisition module 410, for obtaining business datum classification logotype in the default classifying rules；Business
Data Identification module 420, for identifying the business datum classification of corresponding classification to the sorted real time traffic data
Mark.Reference data extraction module 510 extracts the base value in the business datum report for obtaining business datum report
According to；Module 520 is checked, for the classification according to real time traffic data described in the general ledger data list, by the real-time industry
Business data are checked with reference data generic in the business datum report；Judgment module 530, for judging the reality
When business datum whether matched with the reference data；Account information obtain module 540, for when the real time traffic data with
The reference data mismatches, and obtains business personnel's account information；Prompting message sending module 550, for according to the account
Information sends prompting message to the business personnel.Business datum acquiring unit 200, it is pre- for passing through according to preset period of time
If link interface obtains real time traffic data corresponding with the gauge outfit of the general ledger data list from operation system.History industry
Business data acquisition module 610 for business datum prediction model and obtained in general ledger data list described in a upper period after classification
History service data；Prediction module 620, for according to sorted described real-time in general ledger data list described in current period
Business datum, the history service data and the business datum prediction model predict the business datum in next period.
Above-mentioned business datum classifying method may be implemented in a kind of business datum categorization arrangement provided in an embodiment of the present invention
Embodiment, concrete function realize the explanation referred in embodiment of the method, and details are not described herein.
A kind of computer readable storage medium provided in an embodiment of the present invention stores on the computer readable storage medium
There is computer program, business datum classifying method described in any one technical solution is realized when which is executed by processor.Its
In, the computer readable storage medium include but is not limited to any kind of disk (including floppy disk, hard disk, CD, CD-ROM,
And magneto-optic disk), ROM (Read-Only Memory, read-only memory), (Random AcceSS Memory, stores RAM immediately
Device), EPROM (EraSable Programmable Read-Only Memory, Erarable Programmable Read only Memory),
(Electrically EraSable Programmable Read-Only Memory, electric erazable programmable is read-only to be deposited EEPROM
Reservoir), flash memory, magnetic card or light card.It is, storage equipment includes by equipment (for example, computer, mobile phone) with energy
Any medium for the form storage or transmission information enough read can be read-only memory, disk or CD etc..
A kind of computer readable storage medium provided in an embodiment of the present invention is, it can be achieved that above-mentioned business datum classifying method
Embodiment can obtain accounting data required for general ledger automatically, access simultaneously in this application by access billing and accounting system
Preset data divide list, convenient for obtaining wherein classifying rules, and then realize the automatic classification to data, and then realize and press at any time
General ledger data need to be obtained, convenient for the analysis or prediction to general ledger data, since data are to obtain automatically, reduce artificial treatment work
Amount, it is automatic to obtain the accuracy that can also ensure that data acquisition, avoid the data for leading to obtain mistake of manual operation；The application
A kind of business datum classifying method that embodiment provides, comprising: creation data list, based on the received to the multinomial table of data list
The definition of head generates general ledger data list；It is obtained from operation system and the general ledger data list by presetting link interface
The corresponding real time traffic data of gauge outfit；The default classifying rules in data classification table is obtained, according to the default classifying rules
Classify to the real time traffic data in the general ledger data list.Data list is created in custom system, and to this
The multinomial gauge outfit of data list is defined, operation of the system in response to aforementioned user in systems, i.e. creation data list, and
Receive definition of the user to data list header, after completion, the data list for defining gauge outfit based on user generates general ledger
Data list.Specifically, user records project needed for general ledger data (gauge outfit i.e. above-mentioned, containing accounts, subject, summary info etc.)
Enter in system, in order to rapidly get the business datum in operation system, is provided in general ledger data list and industry
Business system connects and can obtain the link interface of the data of business in operation system, and then can have more the definition of user, leads to
It crosses the default link interface and gets real time traffic data from operation system.In order to embody the concise property of general ledger data,
Gauge outfit based on general ledger data list obtains corresponding real time traffic data from operation system, such as operation system includes finance
It is whether correct in order to check financial data when system, business datum include financial data, and financial data can be carried out
Classification, obtains financial data by the link, based on the gauge outfit project acquisition of information in general ledger data list from financial system
Financial data corresponding with its gauge outfit project.In order to timely update the data in general ledger data list, the later period is improved
It is timely to obtain in operation system when the business datum in operation system changes to the accuracy of business datum prediction
Changed business datum, and increase new business datum or update in general ledger data list and/or modify former business
Data, to guarantee the complete correctness of data in general ledger data list, facilitate the later period to the analyses of data in general ledger data list and/
Or prediction.One or more of financial data classification phase in the project category with financial system of gauge outfit in general ledger data list
Together, based on the identical classification of the two, the data of both ledger database is obtained from financial system the same category.
The reality of above-mentioned business datum classifying method may be implemented in computer readable storage medium provided in an embodiment of the present invention
Example is applied, concrete function realizes the explanation referred in embodiment of the method, and details are not described herein.
In addition, the present invention also provides a kind of servers, as shown in figure 4, the server process in another embodiment
The devices such as device 503, memory 505, input unit 507 and display unit 509.It will be understood by those skilled in the art that Fig. 4 shows
Structure devices out do not constitute the restriction to Servers-all, may include than illustrating more or fewer components or group
Close certain components.Memory 505 can be used for storing application program 501 and each functional module, and the operation of processor 503 is stored in
The application program 501 of reservoir 505, thereby executing the various function application and data processing of equipment.Memory 505 can be interior
Memory or external memory, or including both built-in storage and external memory.Built-in storage may include read-only memory
(ROM), programming ROM (PROM), electrically programmable ROM (EPROM), electrically erasable programmable ROM (EEPROM), flash
Device or random access memory.External memory may include hard disk, floppy disk, ZIP disk, USB flash disk, tape etc..It is disclosed in this invention to deposit
Reservoir includes but is not limited to the memory of these types.Memory 505 disclosed in this invention is only used as example rather than as limit
It is fixed.
Input unit 507 is used to receive the input of signal, input unit 507 can also receive user's input for defining
The field of gauge outfit.Input unit 507 may include touch panel and other input equipments.Touch panel collects client on it
Or neighbouring touch operation (such as client using any suitable objects or attachment such as finger, stylus on touch panel or
Operation near touch panel), and corresponding attachment device is driven according to a pre-set procedure；Other input equipments can wrap
It includes but is not limited in physical keyboard, function key (such as broadcasting control button, switch key etc.), trace ball, mouse, operating stick etc.
It is one or more.Display unit 509 can be used for showing the information of client's input or be supplied to the information and computer of client
The various menus of equipment.The forms such as liquid crystal display, Organic Light Emitting Diode can be used in display unit 509.Processor 503 is meter
The control centre for calculating machine equipment is deposited using the various pieces of various interfaces and the entire computer of connection by running or executing
Software program and/or module in memory 503 are stored up, and calls the data being stored in memory, is performed various functions
With processing data.One or more processors 503 shown in Fig. 4 are able to carry out, realize general ledger data list shown in Fig. 3
Function, the business datum of generation module 100 obtain the function of module 200, the function of categorization module 300, data-interface creation list
The function of member 310, the default function of classification rule acquisition unit 320, the function of identifier acquisition module 410, business datum mark
The function of module 420, the function of reference data extraction module 510, the function of checking module 520, the function of judgment module 530,
Account information obtains the function of the function of module 540, the function of prompting message sending module 550, business datum acquiring unit 200
Energy, the function of history service data acquisition module 610, the function of prediction module 620.
In one embodiment, the server includes one or more processors 503, and one or more storages
Device 505, one or more application program 501, wherein one or more of application programs 501 are stored in memory 505
And be configured as being executed by one or more of processors 503, one or more of application programs 301 are configured to carry out
Business datum classifying method described in above embodiments.
A kind of server provided in an embodiment of the present invention, it can be achieved that above-mentioned business datum classifying method embodiment, this
By access billing and accounting system in application, accounting data required for general ledger can be obtained automatically, while accessing preset data
Divide list, be convenient for obtaining wherein classifying rules, and then realize the automatic classification to data, and then realizes on-demand acquisition general ledger at any time
Data, since data are to obtain automatically, reduce manual processing effort, obtain automatically convenient for the analysis or prediction to general ledger data
The accuracy that can also ensure that data acquisition is taken, the data for leading to obtain mistake of manual operation are avoided；The embodiment of the present application mentions
A kind of business datum classifying method supplied, comprising: creation data list, based on the received to the definition of the multinomial gauge outfit of data list
Generate general ledger data list；It is obtained from operation system by default link interface opposite with the gauge outfit of the general ledger data list
The real time traffic data answered；The default classifying rules in data classification table is obtained, according to the default classifying rules to described total
The real time traffic data in account data list is classified.Data list is created in custom system, and to the data list
Multinomial gauge outfit be defined, operation of the system in response to aforementioned user in systems, i.e. creation data list and receives user
Definition to the gauge outfit of data list generates general ledger data column based on the data list that user defines gauge outfit after completion
Table.Specifically, user is by project needed for general ledger data (gauge outfit i.e. above-mentioned, containing accounts, subject, summary info etc.) input system
In, in order to rapidly get the business datum in operation system, it is provided in general ledger data list and operation system
Connection and the link interface that the data of business in operation system can be obtained, and then the definition of user can be had more, it is pre- by this
If link interface gets real time traffic data from operation system.In order to embody the concise property of general ledger data, based on total
Account data list gauge outfit obtains corresponding real time traffic data from operation system, such as operation system includes financial system, industry
It is whether correct in order to check financial data when data of being engaged in include financial data, and can classify to financial data, lead to
It crosses the link and obtains financial data from financial system, based on the gauge outfit project acquisition of information and its gauge outfit in general ledger data list
The corresponding financial data of project.In order to timely update the data in general ledger data list, the later period is improved to business number
It is predicted that accuracy, when the business datum in operation system changes, timely must obtain in operation system changes
Business datum, and increase in general ledger data list new business datum or update and/or modify former business datum, to protect
The complete correctness of data in general ledger data list is demonstrate,proved, analysis and/or prediction of the later period to data in general ledger data list are facilitated.Always
One or more of financial data classification is identical in the project category with financial system of gauge outfit in account data list, is based on two
The identical classification of person, ledger database obtain the data of the two the same category from financial system.
The embodiment of the business datum classifying method of above-mentioned offer may be implemented in server provided in an embodiment of the present invention, tool
Body function realizes the explanation referred in embodiment of the method, and details are not described herein.
The above is only some embodiments of the invention, it is noted that for the ordinary skill people of the art
For member, various improvements and modifications may be made without departing from the principle of the present invention, these improvements and modifications are also answered
It is considered as protection scope of the present invention.
Claims (10)
1. a kind of business datum classifying method characterized by comprising
Data list is created, general ledger data list is generated to the definition of the multinomial gauge outfit of data list based on the received；
Real time business corresponding with the gauge outfit of the general ledger data list is obtained from operation system by default link interface
Data；
The default classifying rules in data classification table is obtained, according to the default classifying rules in the general ledger data list
The real time traffic data is classified.
2. business datum classifying method according to claim 1, which is characterized in that pre- in the acquisition data classification table
If classifying rules, comprising:
The data-interface connect with the data classification watch chain is created in the general ledger data list；
The default classifying rules in the data classification table is obtained by the data-interface.
3. business datum classifying method according to claim 1, which is characterized in that described according to the default classifying rules
After classifying to the business datum in the general ledger data list, comprising:
Obtain business datum classification logotype in the default classifying rules；
The business datum classification logotype of corresponding classification is identified to the sorted real time traffic data.
4. business datum classifying method according to claim 3, which is characterized in that described according to the default classifying rules
After classifying to the real time traffic data in the general ledger data list, comprising:
Business datum report is obtained, the reference data in the business datum report is extracted；
According to the classification of real time traffic data described in the general ledger data list, by the real time traffic data and the business
Generic reference data is checked in data sheet；
Judge whether the real time traffic data matches with the reference data；
When the real time traffic data and reference data mismatch, business personnel's account information is obtained；
Prompting message is sent to the business personnel according to the account information.
5. business datum classifying method according to any one of claims 1 to 4, which is characterized in that described by presetting chain
Connection interface obtains real time traffic data corresponding with the gauge outfit of the general ledger data list from operation system, comprising:
It is obtained from operation system and the gauge outfit of the general ledger data list according to preset period of time by default link interface
Corresponding real time traffic data.
6. business datum classifying method according to claim 5, which is characterized in that described according to the default classifying rules
After classifying to the real time traffic data in the general ledger data list, comprising:
Obtained sorted history service data in general ledger data list described in business datum prediction model and a upper period；
According to the sorted real time traffic data in general ledger data list described in current period, the history service data and
The business datum prediction model, predicts the business datum in next period.
7. a kind of business datum categorization arrangement characterized by comprising
General ledger data list generation module, for creating data list, based on the received to the definition of the multinomial gauge outfit of data list
Generate general ledger data list；
Business datum obtains module, for being obtained from operation system and the general ledger data list by presetting link interface
The corresponding real time traffic data of gauge outfit；
Categorization module, for obtaining the default classifying rules in data classification table, according to the default classifying rules to described total
The real time traffic data in account data list is classified.
8. business datum categorization arrangement according to claim 7, which is characterized in that in the categorization module, comprising:
Data-interface creating unit connects for creating the data connect with the data classification watch chain in the general ledger data list
Mouthful；
Default classification rule acquisition unit, for obtaining described default point in the data classification table by the data-interface
Rule-like.
9. a kind of computer readable storage medium, which is characterized in that be stored with computer on the computer readable storage medium
Program, the program realize business datum classifying method as claimed in any one of claims 1 to 6 when being executed by processor.
10. a kind of server characterized by comprising
One or more processors；
Memory；
One or more application program, wherein one or more of application programs are stored in the memory and are configured
To be executed by one or more of processors, one or more of application programs are configured to carry out according to claim 1
The step of to 6 described in any item business datum classifying methods.
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Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113793205A (en) * | 2021-09-18 | 2021-12-14 | 上海中通吉网络技术有限公司 | Financial data construction method and system based on business data |
| CN114971835A (en) * | 2022-07-26 | 2022-08-30 | 深圳市茗格科技有限公司 | Service data processing method and device, electronic equipment and readable storage medium |
| CN115545353A (en) * | 2022-11-29 | 2022-12-30 | 支付宝(杭州)信息技术有限公司 | Method and device for business wind control, storage medium and electronic equipment |
Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2013074876A1 (en) * | 2011-11-16 | 2013-05-23 | Brooktrail Technologies Llc | Financial management platform |
| CN107644328A (en) * | 2017-09-28 | 2018-01-30 | 泰康保险集团股份有限公司 | Generation method, device, medium and the electronic equipment of accounting voucher |
| CN108090823A (en) * | 2017-12-20 | 2018-05-29 | 重庆八戒财云网络科技有限公司 | accounting data management system based on SaaS |
| CN108228635A (en) * | 2016-12-19 | 2018-06-29 | 北京奇虎科技有限公司 | Introduction method, device and the financial system of financial data |
-
2018
- 2018-10-16 CN CN201811204450.7A patent/CN109598597A/en active Pending
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2013074876A1 (en) * | 2011-11-16 | 2013-05-23 | Brooktrail Technologies Llc | Financial management platform |
| CN108228635A (en) * | 2016-12-19 | 2018-06-29 | 北京奇虎科技有限公司 | Introduction method, device and the financial system of financial data |
| CN107644328A (en) * | 2017-09-28 | 2018-01-30 | 泰康保险集团股份有限公司 | Generation method, device, medium and the electronic equipment of accounting voucher |
| CN108090823A (en) * | 2017-12-20 | 2018-05-29 | 重庆八戒财云网络科技有限公司 | accounting data management system based on SaaS |
Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113793205A (en) * | 2021-09-18 | 2021-12-14 | 上海中通吉网络技术有限公司 | Financial data construction method and system based on business data |
| CN114971835A (en) * | 2022-07-26 | 2022-08-30 | 深圳市茗格科技有限公司 | Service data processing method and device, electronic equipment and readable storage medium |
| CN115545353A (en) * | 2022-11-29 | 2022-12-30 | 支付宝(杭州)信息技术有限公司 | Method and device for business wind control, storage medium and electronic equipment |
| CN115545353B (en) * | 2022-11-29 | 2023-04-18 | 支付宝(杭州)信息技术有限公司 | Business wind control method, device, storage medium and electronic equipment |
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