CN108121809A - Inside data of enterprise standardizes implementation method - Google Patents
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- G06F11/07—Responding to the occurrence of a fault, e.g. fault tolerance
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Abstract
The present invention relates to data management system technical fields, are specially a kind of inside data of enterprise standardization implementation method, including herein below：Master data creates step, and user creates submodule by master data and establishes new master data, and by the master data list of primary data store to primary data store submodule, the master data includes data cleansing rule；Data cleansing step, data operation modules read the data of each operation system by data read-write module, and the data read are matched with the master data in master data list, the data that will match to are replaced according to the data cleansing rule of corresponding master data, and are passed through data read-write module and be saved in original operation system.Inside data of enterprise provided by the invention standardizes implementation method, can solve the problems, such as that existing enterprise's operation system is chaotic there are master data.
Description
Technical field
The present invention relates to data management system technical fields, are standardized in particular to a kind of inside data of enterprise real
Existing method.
Background technology
Present enterprise all can be using various operation systems come the number to enterprises in production management process
It is managed, is often may require that during data management is carried out to system with the various data of typing, when many according to, business
It waits, same data can have a different form of presentation, between branch company particularly from different places, due to the difference of region,
Different calls is might have for same content, even same company, in different developing periods, to same interior
The cognition of appearance may also can change, many enterprises in business process will not to the management that these data are standardized,
Make the presence of a large amount of skimble-scamble data in system, for example, for the name of a client company, there is letter in operation system
Claim and there are full name；For the title of a product, as the expansion of product function is, it is necessary to be modified, operation system is caused
In the product there are multiple titles etc..
On the one hand, this can cause business datum chaotic, make troubles to the management of company, especially when this data be than
During more crucial significant data (also known as master data), business statistics, arrangement, operation etc. can be carried out to company and cause huge barrier
Hinder；On the other hand, with the development of enterprise, business is more and more, and the operation system used is also more and more, different business systems
It usually needs to carry out complicated data exchange between system, the data that the skimble-scamble problem of data is undoubtedly influenced between operation system pass
Defeated, traffic affecting is carried out.
The content of the invention
The invention is intended to provide a kind of inside data of enterprise standardization implementation method, existing enterprise's operation system can be solved
There are master data it is chaotic the problem of.
In order to solve the above-mentioned technical problem, this patent provides following basic technology scheme：
Inside data of enterprise standardizes implementation method, and this method includes herein below：
Master data creates step, and master data creates submodule and establishes new master data and data cleansing rule according to user's operation
Then, and master data and data cleaning rule are respectively stored into the master data list of primary data store submodule and cleaning rule arranges
In table；
Data cleansing step, data operation modules read the data of each operation system by data read-write module, and will
The data read are matched with the master data in master data list, the data that will match to according to corresponding master data number
It is replaced according to cleaning rule, and passes through data read-write module and be saved in original operation system.
In technical solution of the present invention, stored by master data management module and manage master data list, in master data list
Each master data corresponds to a data cleaning rule, and master data of the data operation modules in master data list is to each
The data of operation system are cleaned, each data for meeting data cleansing rule are replaced, so as to solve enterprise operation system
In same data existence form inconsistent the problem of causing data corruption.
Further, master data, which creates step, includes master data checking procedure and master data generation step, the master data inspection
Step is tested to specifically include：
Step 1：Master data creates submodule and obtains master data keyword input by user；
Step 2：Master data creates submodule and reads the master data list in the block of primary data store submodule, and user is inputted
Master data keyword matched with the master data in master data list；
Step 3：Master data create submodule judge whether it is identical in master data keyword input by user
Master data, if it is, terminating the foundation of this master data, if it is not, then performing next step；
Step 4：It is more than preset value that master data, which creates submodule and filters out with master data keyword similarity input by user,
Master data；
Step 5：Master data creates submodule and performs step 6 to step 8 to the master data that each is screened：
Step 6：Master data create submodule obtain master data that master data keyword input by user transmits with screening it
Between difference；
Step 7：Master data creates submodule and obtains the corresponding score value of each difference, calculates the total score of difference；
Step 8：Master data creates submodule and judges the total score of difference whether in default disparity range, if
It is, then by the master data labeled as suspicion data, if it is not, then skipping the master data；
Step 9：Master data creates submodule and filters out all marks checks really for the master data of data for user
Recognize.
According to master data input by user, similar master data is searched from master data list, so as to judge and remind use
Whether the master data to be established of family has existed, and avoids repeating to establish master data.
Further, the master data generation step specifically includes：
Step 1：Master data creates the data that submodule reads each operation system by data read-write module, by user
The master data keyword of input is matched with the data of each operation system；
Step 2：It is more than preset value that master data, which creates submodule and filters out with master data keyword similarity input by user,
Data as cleaning keyword for user selection；
Step 3：Master data create the cleaning keyword that submodule is selected according to user filtered out from operation system with clearly
The larger data of keyword relevance are washed, and data are sorted out according to similarity, generation association matching keywords supply user
Selection；
Step 4：Master data creates submodule and is closed according to the cleaning keyword and matching of master data input by user and selection
Join keyword generation data cleansing rule；
Step 5：Master data creates submodule by the data cleansing of master data input by user and generation rule storage to master
In data sub-module stored.
Master data creates submodule and matches the number similar to master data in existing data from each operation system automatically
According to and using these data as cleaning keyword, user being made to recognize in each operation system now existing with master data phase
As data, master data create submodule can utilize these cleaning keywords quickly generate cleaning rule.
Further, master data creates step and further includes examination ＆ approval step, and manager examines the master data that user creates,
Master data creates submodule and master data is added in master data list after examination ＆ approval pass through.
It is controlled by examining submodule convenient for administrative staff for the establishment of master data.
Further, data input control step is further included, including：
Step 1：Data input control module obtains the key data that user submits in operation system；
Step 2：Data input control module detects whether key data input by user exists in master data list,
If then judging that the input of user is effective, if otherwise judging, the input of user is invalid.
Employee is controlled when each operation system inputs critical data by input control module, it can only be in master data list
Middle selection, the data that can be subsequently inputted with specification avoid again occurring and the skimble-scamble data of master data.
Further, the data cleansing step includes backup and reduction step, and backup and reduction step includes herein below：
Backup-step：Backup and reduction submodule backs up cleaned data；
Reduction step：Backup and reduction submodule reduces cleaned data according to the input of user.
Cleaned data are backed up by backup and reduction submodule, are prevented due to maloperation and the modification industry of mistake
Business data, cause damages.
Description of the drawings
Fig. 1 is the data normalization system used in inside data of enterprise of the present invention standardization implementation method embodiment
Logic diagram.
Specific embodiment
Below by specific embodiment, the present invention is described in further detail：
As shown in Figure 1, the present embodiment inside data of enterprise standardization implementation method has used following data normalization system
System, the system include data read-write module, master data management module, data operation modules and data control block, wherein：
Data read-write module is used to read and write the data of each operation system；
Master data management module examines submodule including primary data store submodule and master data creates submodule, main number
Master data list and data cleaning rule list are stored with according to sub-module stored, master data and cleaning rule in master data list
Cleaning rule in list corresponds, and the master data creates submodule for creating master data and corresponding with master data
Data cleansing rule is simultaneously respectively stored into master data list and cleaning rule list；
Master data, which creates submodule, includes master data input unit, master data searching unit, Keywords matching unit sum number
According to cleaning rule generation unit.
Master data input unit is used to input the master data to be established for user, and master data searching unit is used to search and test
It demonstrate,proves whether master data input by user has existed in master data list, avoids repeating to establish master data.
Keywords matching unit can be matched by data read-write module from the data of each operation system defeated with user
The similar data of the master data that enters, for user's selection, are recognized user and are deposited now in each operation system as cleaning keyword
The data similar to master data；
Data cleansing rule generating unit can generate number according to master data input by user and the cleaning keyword of selection
According to cleaning rule.Data cleansing rule includes cleaning keyword and keyword is associated with matching, and matching association keyword is used in number
Data are matched together with cleaning keyword according to during cleaning, what data cleansing rule generating unit can be selected according to user
It cleans keyword extraction matching association keyword to select for user, such as Business Name, user has selected to contain company name
After the cleaning keyword of title, other the shared associations for the keyword that data cleansing rule generating unit is selected automatically according to user
Associated data is grouped by data, such as CompanyAddress according to similarity, is selected for user, and user is selected as matching
Associate keyword.
Examination ＆ approval submodule examines the master data that user creates for manager, and by master data after examination ＆ approval pass through
It is added in master data list.Examination ＆ approval submodule controls convenient for administrative staff for the establishment of master data.
Data input control module is deposited for controlling the key data of each operation system that can only input in master data list
Master data.It can only be selected by controlling employee when each operation system inputs critical data in master data list, it can
The data subsequently inputted with specification avoid again occurring and the skimble-scamble data of master data.
Data operation modules include data and replace submodule and backup and reduction submodule, and data replace submodule and are used for basis
Master data cleaning rule matches the data in each operation system by data read-write module, specifically, its first with
Keyword is cleaned as matching keyword, selects all matched data, then again with matching association keyword to all matched
Data are screened, and the data for associating keyword with matching and matching are selected, then according to data cleansing rule to matched number
According to carrying out cleaning replacement.The data of each operation system are cleaned by data operation modules, each is replaced and meets number
According to the data of cleaning rule, so as to solve the inconsistent data corruption that causes of the existence form of same data in enterprise operation system
Problem.
Matching association keyword can to avoid same content data by mistake replacement, for example, there are two in operation system
A data are " X companies ", but its reference is different companies, have different addresses, management functions, are by this then
System establishes one entitled " Chongqing X science and technology limited Companies " data of operation system is cleaned, and administrative staff are by " X
Company " just needs administrative staff's selection and confirms that matching associates keyword accordingly, such as with company at this time as cleaning keyword
Address, so as to enable a system to correctly distinguish two " X companies ", avoids maloperation as matching association keyword.
Backup and reduction submodule is used to back up cleaned data, and backup and reduction submodule is additionally operable to cleaned
Data reduced.Cleaned data are backed up by backup and reduction submodule, are prevented due to maloperation and mistake
Modification business datum, cause damages.
Maloperation detection module is further included, the maloperation detection module can obtain each master data in master data list
Record in each operation system, and judge that same master data is closed with the presence or absence of multiple entirely different matchings after cleaning
Join keyword, so as to judge whether maloperation or whether should increase keyword newly, and remind administrative staff.For example, system
It is " Chongqing X science and technology limited Companies " by " X companies " cleaning in operation system according to data cleansing rule, but such as
Maloperation detection module detects same " Chongqing X science and technology limited Companies " there are multiple and different number of addresses behind fruit
According to may be then and the main number due to the situation of typing personnel's typing mistake or due to the use of data input control module
According in list be not present typing personnel want typing Business Name and mistake select the problem of, and then remind administrative staff carry out accordingly
Processing.
In order to more fully illustrate the course of work of the system, the present embodiment also discloses the data mark based on the system
Quasi-ization method, this method include herein below：
Master data creates step, and user creates submodule by master data and establishes new master data, and by primary data store
Into the master data list of primary data store submodule, master data includes data cleansing rule；
Data cleansing step, data operation modules read the data of each operation system by data read-write module, and will
The data read are matched with the master data in master data list, the data that will match to according to corresponding master data number
It is replaced according to cleaning rule, and passes through data read-write module and be saved in original operation system.
Master data, which creates step, includes master data checking procedure and master data generation step, and master data checking procedure is specifically wrapped
It includes：
Step 1：Master data creates submodule and obtains master data keyword input by user；
Step 2：Master data creates submodule and reads the master data list in the block of primary data store submodule, and user is inputted
Master data keyword matched with the master data in master data list；
Step 3：Master data create submodule judge whether it is identical in master data keyword input by user
Master data, if it is, terminating the foundation of this master data, if it is not, then performing next step；
Step 4：It is more than preset value that master data, which creates submodule and filters out with master data keyword similarity input by user,
Master data；
Step 5：Master data creates submodule and performs step 6 to step 8 to the master data that each is screened：
Step 6：Master data create submodule obtain master data that master data keyword input by user transmits with screening it
Between difference；
Step 7：Master data creates submodule and obtains the corresponding score value of each difference, calculates the total score of difference；
Step 8：Master data creates submodule and judges the total score of difference whether in default disparity range, if
It is, then by the master data labeled as suspicion data, if it is not, then skipping the master data；
Step 9：Master data creates submodule and filters out all marks checks really for the master data of data for user
Recognize.
Master data generation step specifically includes：
Step 1：Master data creates the data that submodule reads each operation system by data read-write module, by user
The master data keyword of input is matched with the data of each operation system；
Step 2：It is more than preset value that master data, which creates submodule and filters out with master data keyword similarity input by user,
Data as cleaning keyword for user selection；
Step 3：Master data create the cleaning keyword that submodule is selected according to user filtered out from operation system with clearly
The larger data of keyword relevance are washed, and data are sorted out according to similarity, generation association matching keywords supply user
Selection；
Step 4：Master data creates submodule and is closed according to the cleaning keyword and matching of master data input by user and selection
Join keyword generation data cleansing rule；
Step 5：Master data creates submodule by the data cleansing of master data input by user and generation rule storage to master
In data sub-module stored.
Master data creates step and further includes examination ＆ approval step, and manager examines the master data that user creates, master data
Master data is added in master data list by newly-built submodule after examination ＆ approval pass through.
Data input control step is further included, including：
Step 1：Data input control module obtains the key data that user submits in operation system；
Step 2：Data input control module detects whether key data input by user exists in master data list,
If then judging that the input of user is effective, if otherwise judging, the input of user is invalid.
Data cleansing step includes backup and reduction step, and backup and reduction step includes herein below：
Backup-step：Backup and reduction submodule backs up cleaned data；
Reduction step：Backup and reduction submodule reduces cleaned data according to the input of user.
Above is only the embodiment of the present invention, and the common sense such as well known concrete structure and characteristic are not made excessively herein in scheme
Description, all common of technical field that the present invention belongs to before one skilled in the art know the applying date or priority date
Technological know-how can know the prior art all in the field, and with using routine experiment means before the date
Ability, one skilled in the art with reference to self-ability can improve under the enlightenment that the application provides and implement we
Case, some typical known features or known method should not become the barrier that one skilled in the art implement the application
Hinder.It should be pointed out that for those skilled in the art, without departing from the structure of the invention, if can also make
Dry modification and improvement, these should also be considered as protection scope of the present invention, these all do not interfere with the effect that the present invention implemented and
Practical applicability.The scope of protection required by this application should be based on the content of the claims, the specific reality in specification
It applies the records such as mode and can be used for the content for explaining claim.
Claims (6)
1. inside data of enterprise standardizes implementation method, it is characterised in that：This method includes herein below：
Master data creates step, and master data creates submodule and establishes new master data and data cleaning rule according to user's operation,
And master data and data cleaning rule are respectively stored into the master data list of primary data store submodule and cleaning rule list
In；
Data cleansing step, data operation modules read the data of each operation system by data read-write module, and will read
To data matched with the master data in master data list, the data that will match to are clear according to the data of corresponding master data
It washes rule to be replaced, and passes through data read-write module and be saved in original operation system.
2. inside data of enterprise according to claim 1 standardizes implementation method, it is characterised in that：Master data creates step
Including master data checking procedure and master data generation step, the master data checking procedure specifically includes：
Step 1：Master data creates submodule and obtains master data keyword input by user；
Step 2：Master data creates submodule and reads the master data list in the block of primary data store submodule, by master input by user
Data key words are matched with the master data in master data list；
Step 3：Master data creates submodule and judges whether and the identical main number of master data keyword input by user
According to if it is, terminating the foundation of this master data, if it is not, then performing next step；
Step 4：Master data create submodule filter out with master data keyword similarity input by user be more than preset value master
Data；
Step 5：Master data creates submodule and performs step 6 to step 8 to the master data that each is screened：
Step 6：Master data is created between the master data that submodule obtains master data keyword input by user and screening is transmitted
Difference；
Step 7：Master data creates submodule and obtains the corresponding score value of each difference, calculates the total score of difference；
Step 8：Master data creates submodule and judges the total score of difference whether in default disparity range, if it is,
By the master data labeled as suspicion data, if it is not, then skipping the master data；
Step 9：Master data creates submodule and filters out all marks checks confirmation for the master data of data for user.
3. inside data of enterprise according to claim 2 standardizes implementation method, it is characterised in that：The master data generation
Step specifically includes：
Step 1：Master data creates the data that submodule reads each operation system by data read-write module, and user is inputted
Master data keyword matched with the data of each operation system；
Step 2：Master data create submodule filter out with master data keyword similarity input by user be more than preset value number
It is selected according to as cleaning keyword for user；
Step 3：Master data creates the cleaning keyword that submodule is selected according to user and is filtered out from operation system and cleaning pass
The larger data of keyword relevance, and data are sorted out according to similarity, generation association matching keywords are selected for user；
Step 4：Master data creates submodule and is associated according to master data input by user with the cleaning keyword of selection with matching
Keyword generation data cleansing rule；
Step 5：Master data creates submodule by the data cleansing of master data input by user and generation rule storage to master data
In sub-module stored.
4. inside data of enterprise according to claim 1 standardizes implementation method, it is characterised in that：Master data creates step
Examination ＆ approval step is further included, manager examines the master data that user creates, and master data creates submodule after examination ＆ approval pass through
Master data is added in master data list.
5. inside data of enterprise according to claim 1 standardizes implementation method, it is characterised in that：Further include data input
Rate-determining steps, including：
Step 1：Data input control module obtains the key data that user submits in operation system；
Step 2：Data input control module detects whether key data input by user exists in master data list, if
Then judge that the input of user is effective, the input of user is invalid if otherwise judging.
6. inside data of enterprise according to claim 1 standardizes implementation method, it is characterised in that：The data cleansing step
Suddenly backup and reduction step is included, backup and reduction step includes herein below：
Backup-step：Backup and reduction submodule backs up cleaned data；
Reduction step：Backup and reduction submodule reduces cleaned data according to the input of user.
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| CN114693280A (en) * | 2022-05-31 | 2022-07-01 | 山东国盾网信息科技有限公司 | Digital collaborative office platform based on electronic signature technology |
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Application publication date: 20180605 |