CN101145227A - Operation data processing method and processor - Google Patents
Operation data processing method and processor Download PDFInfo
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- CN101145227A CN101145227A CNA2007101660418A CN200710166041A CN101145227A CN 101145227 A CN101145227 A CN 101145227A CN A2007101660418 A CNA2007101660418 A CN A2007101660418A CN 200710166041 A CN200710166041 A CN 200710166041A CN 101145227 A CN101145227 A CN 101145227A
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Abstract
The invention provides a processing method for business data which comprises the following procedures: determining the dimensions according to the attribute of the business data; constructing a cognate multi-dimensional parent-subsidiary tree which includes a root node and at least one son node, wherein the root node has all of the dimensions and son nodes have different dimensions; drawing and generating subtrees from the cognate multi-dimensional parent-subsidiary tree according to different dimensions; conducting treatment of the business data corresponding to the generated subtrees. The proposal of the invention can carry out high-performance analysis, statistics and categorized management of the business object data and reduce data redundancy. The invention also provides a processing device for business data.
Description
Technical field
The present invention relates to data processing field, particularly relate to a kind of disposal route and treating apparatus of business datum.
Background technology
The Internet era that the world today having entered,, as how lower cost, the fastest speed, provide higher-quality products ﹠ services to satisfy client's needs, become the challenge that all enterprises must face in the face of the globalization that grows with each passing day competition.Under these circumstances, enterprise need adopt new instrument to plan internal enterprise resources well, integrate the external resource that it has, as: supplier, agency, common carrier etc., improve the accuracy of producing, purchasing and delivering goods and plan, thereby when tackling market fast, improve the accuracy to client's sale, management and service promise etc., this will be enterprise obtains competitive edge in the economic environment of global integration only way.In the face of the market competitive pressure, a lot of enterprises are at the problem of present existence, the existing system of planning strategies for is optimized, set up the integrated perfect infosystem of a cover, to adapting to growing scale needs and multiservice requirement, further improve the client satisfaction, reduce cost, improve company competitiveness, improve and consolidate the home market, march toward the international market rapidly, the existence and the competitiveness that improve in the international market all have important theoretical and practical significance.
For an enterprise, there is the service application of large amount of complex, as: the Classification Management of customer data, to the classification of material and statistical study, to management of department etc.Use for complicated service in the enterprise, by the abstract and analysis of the degree of depth to business datum, there is such business object in discovery, and described business object can separate and can merge, and can satisfy a kind of business scenario during merging, the partition of different dimensions can be satisfied different application, simultaneously, have points of resemblance again between the different application, keep a complete tree exactly, and the summit of tree is fixed all the time, can both realize gathering of data and statistical study according to these different subtrees.
Existing technical scheme is that the artificial object with such is split into a plurality of objects, independent Cheng Shu, management respectively.Though this scheme can satisfy the needs of service application substantially, the cost of paying is huge.Adopt the implementation of prior art, for satisfying existing service application scene, need independently set up a plurality of business objects, artificial object is split into is a plurality of, all independent Cheng Shu of each object, have costly, the shortcoming that extendability is poor, customer care is loaded down with trivial details.And data redundancy is serious, needs a lot of tables of data of opening of creating more, and the service logic of repetition needs repeated encoding, when the new subtree of needs, can only increase object again newly, repeats.The client need safeguard the tree of many complexity, and above workload during also just safeguarding, and is then bigger for follow-up workload.In addition, existing implementation be difficult to realize getting subtree common factor, get difference, subtree between subtree quote elite stand, opening relationships between subtree, elite stand can't the unified management subtree, a series of business processing of data sync or the like between subtree.Realize bringing very big pressure for the product in later stage, finally allow product do more complicated and more complicated, safeguard that pressure is increasing.
Summary of the invention
Technical matters to be solved by this invention provides a kind of disposal route of business datum, create a homology multidimensional mothers and sons tree, extract the generation subtree according to different dimensions, finish the processing of corresponding service data according to the subtree that generates, can high efficiency realization to analysis, statistics and the Classification Management of business object data, reduce data redundancy.
Accordingly, the present invention also provides a kind for the treatment of apparatus of business datum.
In order to address the above problem, the invention discloses a kind of disposal route of business datum, comprising:
Attribute according to business datum is determined dimension;
Make up homology multidimensional mothers and sons tree, described homology multidimensional mothers and sons tree comprises a root node and at least one child node, and described root node possesses all dimensions, and each child node possesses different dimensions;
From described homology multidimensional mothers and sons tree, extract the generation subtree according to different dimensions;
Subtree according to described generation is handled the corresponding business data.
Wherein, the concrete steps of described structure homology multidimensional mothers and sons tree comprise:
According to service needed, all nodes are all defined out, make up parent node;
As required, define a plurality of dimensions;
Determine to form the dimension of each child node according to the contact between each business datum and the described data.
Preferably, the concrete steps of described structure homology multidimensional mothers and sons tree also comprise:
Relation between default each dimension of child node.
Preferably, described business data processing method also comprises:
Store the homology multidimensional mothers and sons tree of described structure and each minute subtree that generates.
Wherein, the independent information of all child nodes of record in the root node of described homology multidimensional mothers and sons tree.
Further, the disposal route of described business datum also comprises:
The one or more dimensions of expansion in the parent node of homology multidimensional mothers and sons tree and corresponding child node.
The present invention also provides a kind for the treatment of apparatus of business datum, comprising:
The dimension determining unit is used for determining dimension according to the attribute of business datum;
Construction unit is used to make up homology multidimensional mothers and sons tree, and described homology multidimensional mothers and sons tree comprises a root node and at least one child node, and described root node possesses all dimensions, and each child node possesses different dimensions;
The subtree extracting unit is used for extracting the generation subtree according to different dimensions from described homology multidimensional mothers and sons tree;
Data processing unit is used for according to subtree the corresponding business data being handled.
Wherein, described construction unit comprises:
The parent node generation unit is used for generating parent node according to all dimensions of business datum;
The child node generation unit is used for generating child node according to the definite dimension of forming each child node of the contact between each business datum and the described data.
Further, described construction unit also comprises:
Dimension is provided with the unit, is used for the relation between default each dimension of child node.
Further, described service data processing apparatus also comprises:
Storage unit is used to store the homology multidimensional mothers and sons tree of described structure and each subtree that generates.
Further, also comprise:
The dimension expanding element is used for expanding parent node from one or more dimensions to the homology multidimensional mothers and sons tree that builds and corresponding child node.
Compared with prior art, the present invention has the following advantages:
The present invention is by creating homology multidimensional mothers and sons tree, extract the generation subtree according to different dimensions, finish the processing of corresponding service data according to the subtree that generates, can high efficiency realization to analysis, statistics and the Classification Management of business object data, reduce data redundancy.The homology multidimensional mothers and sons tree that the present invention generates is a kind of tree structure of expansion, possesses the characteristic of female many sons, and therefore good extendability is arranged; The homology multidimensional mothers and sons tree of described generation is again a kind of tree structure of intensification, therefore can farthest utilize and reuse the data message of parent node, has reduced the storage of data and the waste of resource.
Homology multidimensional mothers and sons tree of the present invention, parent node can manage the data of described child node, the modification of parent node data changes the renewal that causes corresponding data in the child node synchronously, therefore, in the time need making amendment to the same data of a plurality of child nodes, only need on parent node, finish once to revise and get final product, further, needs according to business, when needs increase a kind of processing of business datum newly, only need on parent node and corresponding child node, increase a dimension or a plurality of dimension gets final product, not need to create again again a business object.
Therefore, by technical scheme of the present invention business object data is handled, cost is little, favorable expandability, customer care convenient and do not need to create a lot of tables of data of opening, and has reduced data redundancy greatly, has improved the processing and the efficiency of management to business object data.
Description of drawings
Fig. 1 is the process flow diagram of disposal route first embodiment of a kind of business datum of the present invention;
Fig. 2 is a kind of homology multidimensional mothers and sons tree construction synoptic diagram;
Fig. 3 is that the described homology multidimensional of Fig. 2 mothers and sons tree extracts each the subtree synoptic diagram that generates by different dimensions;
Fig. 4 is the structured flowchart for the treatment of apparatus first embodiment of a kind of business datum of the present invention;
Fig. 5 is the structured flowchart for the treatment of apparatus second embodiment of a kind of business datum of the present invention.
Embodiment
For above-mentioned purpose of the present invention, feature and advantage can be become apparent more, the present invention is further detailed explanation below in conjunction with the drawings and specific embodiments.
With reference to Fig. 1, show the process flow figure of a kind of business datum of the embodiment of the invention, comprise step:
The traffic data type of business administration is very many, as to the management of customer data, to the classification of material and statistical study, to the management of department, for every type business datum, according to the attributive classification of described business datum, just generates different dimensions.With the division management is example, and different departments has different responsibilities, and described responsibility is dimension.Therefore, for this class business datum of division management, have dimensions such as buying, logistics, administration, occurrences in human life usually.
Tree is a kind of example combination that is made up by the example of same object differentiation relationship between superior and subordinate, and all examples all are points on the tree, and different points constructs an example tree.Described same target is the business datum of same type.As the classification of the management data of customer data, material and statistical data analysis, division management data.
Homology multidimensional mothers and sons tree is to be made up by identical object, has the tree structure of mother-child relationship (MCR) between the example, can homology multidimensional mothers and sons be set according to different dimensions, extracts and is split into many subtrees.
Described homology multidimensional mothers and sons tree comprises a root node and at least one child node, and described root node possesses all dimensions, and each child node possesses different dimensions.Concerning division management, suppose to include only buying, logistics, administration, occurrences in human life four dimensions, then described parent node possesses buying, logistics, administration, the whole four dimensions of occurrences in human life, for child node, the child node that has can only have the logistics dimension, the child node that has has buying, administrative dimension, and the child node that has has occurrences in human life, administrative dimension.Described child node has the quantity of dimension, and has which dimension, all is the attribute according to want processing service data, and the relation between the business datum different attribute is determined specifically how to determine and will describe with example in the back.
Between the different dimensions certain relation can be set, just the S dimension must be arranged such as being arranged to the F dimension, have the H dimension then can not have the J dimension, in a word, according to the needs of business, the relation between the described dimension is adjustable.
The concrete steps that make up the multi-thread mothers and sons tree of homology are as follows: according to service needed, all nodes are all defined out, make up parent node;
As required, define a plurality of dimensions;
Determine to form the dimension of each child node according to the contact between each business datum and the described data.
Because the homology multidimensional mothers and sons of described generation tree is a kind of tree structure of expansion, possesses the characteristic of female many sons, so good extendability is arranged; The homology multidimensional mothers and sons tree of described generation is again a kind of tree structure of intensification, therefore can farthest utilize and reuse the data message of parent node, has reduced the storage of data and the waste of resource.
After successfully constructing homology multidimensional mothers and sons tree, can by the dimension of determining described homology multidimensional mothers and sons tree be extracted, generate different subtrees according to the needs of business data processing.All have at least one identical dimension in each node of described subtree, the process that described extraction generates subtree also is to serve as according to carrying out with identical dimension.
Below with an example homology multidimensional mothers and sons are set and extract to generate different subtrees and be elaborated, as following table:
Described homology multidimensional mothers and sons tree has S, P, three dimensions of F, therefore, described root node possesses all S, P, three dimensions of F, the A1 child node possesses S, F dimension, the A2 child node possesses S, F, three dimensions of P, and the A3 child node possesses the S dimension, and the B2 child node possesses the S dimension, the B3 child node possesses the P dimension, and the B4 child node possesses S, P dimension.Described homology multidimensional mothers and sons tree is extracted with the F dimension, generates the F subtree:
Extract with the P dimension, generate the P subtree:
Because described the tree from source multidimensional mothers and sons extracted a plurality of subtrees that generate, all corresponding subtree of the attribute of each business datum.Therefore, can finish the processing of different attribute business datum according to different subtrees.
Described homology multidimensional mothers and sons set the total information of all subtrees of having safeguarded, simultaneously described homology multidimensional mothers and sons tree has been write down the independent information of subtree, i.e. dimension respectively.In order to adapt to the needs of handling the different attribute business datum, between the different dimensions certain relation can be set.And the relation between each dimension is adjustable, to adapt to the needs of miscellaneous service.
For the smooth establishment of setting, described root node must possess all dimensions, after each child node possesses specific dimension, must specify the superior node of this node correspondence under selected dimension, described above-mentioned node must possess described dimension, if possess a plurality of dimensions simultaneously, so, dimension is specified its superior node one by one, like this, could guarantee that the node under each dimension can successfully construct a complete tree.
Further, in order to save the system handles resource, after creating successful homology multidimensional mothers and sons tree and extracting each subtree of generation, store described homology multidimensional mothers and sons tree and subtree.
By creating homology multidimensional mothers and sons tree, extract the generation subtree according to different dimensions, finish the processing of corresponding service data according to the subtree that generates, can high efficiency realization to analysis, statistics and the Classification Management of business object data, reduce data redundancy, utilize and reuse the data message that homology multidimensional mothers and sons set each subtree of storage, conserve storage.
With reference to Fig. 2, Fig. 3, with the example of division management principle of the present invention and advantage are described in more detail, described Fig. 2 is to be the homology multidimensional mothers and sons tree of Object Creation with the division management data; Fig. 3 extracts each subtree that generates from the described homology multidimensional of Fig. 2 mothers and sons tree root according to different dimensions.
Division management, different departments possesses different responsibilities, and the responsibility here is exactly a dimension, and buying, logistics, administration, occurrences in human life four dimensions are arranged, and also there is the branch of the superior and the subordinate in department simultaneously, so innately be one tree.At first, all departments are all created out, create a homology multidimensional mothers and sons tree according to the actual conditions of business.Then according to the actual conditions of department, specify each department to possess which dimension respectively, for example department 001, it just is logistics department, department 002 is exactly buying and administrative department, and department 003 is exactly occurrences in human life and administrative department, root node 000 department, must be logistics simultaneously, buying, administration and personnel department when each department specifies certain dimension, all must specify its higher level department, for example, create 002 department of subordinate 002.01, specify it to possess logistics and buying dimension, so just must specify which its higher level logistics department and higher level purchasing department be, they can be both 002, also can be appointed as different departments respectively.002.01 higher level personnel department be 003, higher level administrative organization is 002, when going to extract according to different dimensions like this, just can obtain each subtree as described in Figure 3.
Extract each subtree that generates, can satisfy different service needed,, then use purchasing department's subtree, when carrying out the occurrences in human life affairs, then use personnel department's subtree as when carrying out procurement business, and the like.
Described homology multidimensional mothers and sons tree is the complete or collected works of all subtrees, and subtree is the absolute subclass of homology multidimensional mothers and sons tree.Be relatively independent between the subtree, but can carry out general character analysis and variance analysis to subtree, the node of general character is exactly the node that possesses multiple dimension simultaneously, as above in the example be buying be again the department of logistics, we just can get common factor from purchasing department tree and logistics department tree, if what get is purchasing department rather than logistics department, also can be by comparing acquisition to two trees.
Node on the tree all possesses common attribute, for example: information such as coding, title, enabling time, mnemonic code, in case these information will change, only need on homology multidimensional mothers and sons tree, revise getting final product, after modification was finished, the corresponding node on all subtrees all can be upgraded automatically.
For the service application that has homology multidimensional mothers and sons tree, the present invention provides also that the technical scheme to second embodiment of the invention is described below second kind of embodiment.
The difference of second embodiment and first embodiment is: after creating successful homology multidimensional mothers and sons tree, get final product by in the root node of described homology multidimensional mothers and sons tree and corresponding child node, increasing corresponding dimension, promptly define a dimension, then the node that needs on the homology multidimensional mothers and sons tree is carried out maintenance of information, also be the node that needs and specify one or more dimensions, in the time of for example will increasing a kind of department character (auditing department), directly existing node is appointed as auditing department, and the higher level auditing department of specified node, thereby when extracting, generate the subtree of an auditing department according to auditing department's dimension.Adopt this technical scheme, when increasing new business to be processed, do not need to create again a tree, improved efficient, saved storage resources.
With reference to Fig. 4, show the structured flowchart of a kind of service data processing apparatus of the embodiment of the invention, comprising:
The traffic data type of business administration is very many, as to the management of customer data, to the classification of material and statistical study, to the management of department, for every type business datum, according to the attributive classification of described business datum, just generates different dimensions.
Described homology multidimensional mothers and sons tree comprises a root node and at least one child node, described root node possesses all dimensions, each child node possesses different dimensions, described child node has the quantity of dimension, and has which dimension, all be attribute, and the relation between the business datum different attribute is determined according to want processing service data.
Described construction unit comprises parent node generation unit 4021, is used for generating parent node according to all dimensions of business datum.
Child node generation unit 4022 is used for generating child node according to the definite dimension of forming each child node of the contact between each business datum and the described data.
Can also comprise that dimension is provided with unit 4023, be used for the relation between default each dimension of child node.
Between the different dimensions certain relation can be set, just the S dimension must be arranged such as being arranged to the F dimension, have the H dimension then can not have the J dimension, in a word, according to the needs of business, the relation between the described dimension is adjustable.
Can by the dimension of determining described homology multidimensional mothers and sons tree be extracted according to the needs of business data processing, generate different subtrees.All have at least one identical dimension in each node of described subtree, the process that described extraction generates subtree also is to serve as according to carrying out with identical dimension.
Because described the tree from source multidimensional mothers and sons extracted a plurality of subtrees that generate, all corresponding subtree of the attribute of each business datum.Therefore, can finish the processing of different attribute business datum according to different subtrees.
Described business processing device also can comprise storage unit 405, be used to store each subtree that homology multidimensional mothers and sons set and the subtree extracting unit generates that described construction unit makes up.
For the service application that has homology multidimensional mothers and sons tree, the present invention also provides second kind of embodiment, with reference to Fig. 5, shows the structured flowchart of second embodiment of the invention service data processing apparatus, comprising:
The traffic data type of business administration is very many, as to the management of customer data, to the classification of material and statistical study, to the management of department, business datum for every type, attributive classification according to described business datum, just generate different dimensions, when needs increase a kind of service attribute newly, determine dimension according to the described business datum attribute that increases newly.
The difference of present embodiment is: after creating successful homology multidimensional mothers and sons tree, get final product by in the root node of described homology multidimensional mothers and sons tree and corresponding child node, increasing corresponding dimension, promptly define a dimension, then the node that needs on the homology multidimensional mothers and sons tree is carried out maintenance of information, also be the node that needs and specify one or more dimensions, in the time of for example will increasing a kind of department character (auditing department), directly existing node is appointed as auditing department, and the higher level auditing department of specified node, thereby when extracting, generate the subtree of an auditing department according to auditing department's dimension.Adopt this technical scheme, when increasing new business to be processed, do not need to create again a tree, improved efficient, saved storage resources.
Can by the dimension of determining described homology multidimensional mothers and sons tree be extracted according to the needs of business data processing, generate different subtrees.All have at least one identical dimension in each node of described subtree, the process that described extraction generates subtree also is to serve as according to carrying out with identical dimension.
Because described the tree from source multidimensional mothers and sons extracted a plurality of subtrees that generate, all corresponding subtree of the attribute of each business datum.Therefore, can finish the processing of different attribute business datum according to different subtrees.Extract the subtree that generates according to the dimension that increases newly, can handle the business datum that increases newly.Therefore, this device has favorable expansibility to the processing of business datum.
Described business processing device also can comprise storage unit 505, be used to store each subtree of homology multidimensional mothers and sons tree and the generation of subtree extracting unit.
Fig. 4, device embodiment shown in Figure 5 are corresponding with method embodiment, and therefore, the explanation among the appropriate section reference method embodiment among the device embodiment gets final product.
More than to the disposal route and the device of a kind of business datum provided by the present invention, be described in detail, used specific case herein principle of the present invention and embodiment are set forth, the explanation of above embodiment just is used for helping to understand method of the present invention and core concept thereof; Simultaneously, for one of ordinary skill in the art, according to thought of the present invention, the part that all can change in specific embodiments and applications, in sum, this description should not be construed as limitation of the present invention.
Claims (11)
1. the disposal route of a business datum is characterized in that, comprising:
Attribute according to business datum is determined dimension;
Make up homology multidimensional mothers and sons tree, described homology multidimensional mothers and sons tree comprises a root node and at least one child node, and described root node possesses all dimensions, and each child node possesses different dimensions;
From described homology multidimensional mothers and sons tree, extract the generation subtree according to different dimensions;
Subtree according to described generation is handled the corresponding business data.
2. business data processing method as claimed in claim 1 is characterized in that, the concrete steps of described structure homology multidimensional mothers and sons tree comprise:
According to service needed, all nodes are all defined out, make up parent node;
As required, define a plurality of dimensions;
Determine to form the dimension of each child node according to the contact between each business datum and the described data.
3. business data processing method as claimed in claim 2 is characterized in that, also comprises:
Relation between default each dimension of child node.
4. business data processing method as claimed in claim 1 is characterized in that, also comprises:
Store the homology multidimensional mothers and sons tree of described structure and each minute subtree that generates.
5. business data processing method as claimed in claim 1 is characterized in that:
The independent information of all child nodes of record in the root node of described homology multidimensional mothers and sons tree.
6. business data processing method as claimed in claim 1 is characterized in that, also comprises:
The one or more dimensions of expansion in the parent node of homology multidimensional mothers and sons tree and corresponding child node.
7. the treating apparatus of a business datum is characterized in that, comprising:
The dimension determining unit is used for determining dimension according to the attribute of business datum;
Construction unit is used to make up homology multidimensional mothers and sons tree, and described homology multidimensional mothers and sons tree comprises a root node and at least one child node, and described root node possesses all dimensions, and each child node possesses different dimensions;
The subtree extracting unit is used for extracting the generation subtree according to different dimensions from described homology multidimensional mothers and sons tree;
Data processing unit is used for according to subtree the corresponding business data being handled.
8. service data processing apparatus as claimed in claim 7 is characterized in that, described construction unit comprises:
The parent node generation unit is used for generating parent node according to all dimensions of business datum;
The child node generation unit is used for generating child node according to the definite dimension of forming each child node of the contact between each business datum and the described data.
9. service data processing apparatus as claimed in claim 8 is characterized in that, described construction unit also comprises:
Dimension is provided with the unit, is used for the relation between default each dimension of child node.
10. service data processing apparatus as claimed in claim 7 is characterized in that, also comprises:
Storage unit is used to store the homology multidimensional mothers and sons tree of described structure and each subtree that generates.
11. service data processing apparatus as claimed in claim 7 is characterized in that, also comprises:
The dimension expanding element is used for expanding parent node from one or more dimensions to the homology multidimensional mothers and sons tree that builds and corresponding child node.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CNA2007101660418A CN101145227A (en) | 2007-10-30 | 2007-10-30 | Operation data processing method and processor |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CNA2007101660418A CN101145227A (en) | 2007-10-30 | 2007-10-30 | Operation data processing method and processor |
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| CN101145227A true CN101145227A (en) | 2008-03-19 |
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| CNA2007101660418A Pending CN101145227A (en) | 2007-10-30 | 2007-10-30 | Operation data processing method and processor |
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Cited By (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102457513A (en) * | 2010-11-16 | 2012-05-16 | 中国人民解放军国防科学技术大学 | Method for establishing index system capable of being dynamically configured in computer |
| CN102571381A (en) * | 2010-12-15 | 2012-07-11 | 中国移动通信集团吉林有限公司 | Information storage method and information storage device |
| CN103186828A (en) * | 2011-12-30 | 2013-07-03 | 金蝶软件（中国）有限公司 | Business processing method and device |
| CN106951427A (en) * | 2016-01-07 | 2017-07-14 | 阿里巴巴集团控股有限公司 | A kind of data pick-up method and device of business object |
| CN109710610A (en) * | 2018-12-17 | 2019-05-03 | 北京三快在线科技有限公司 | Data processing method, device and calculating equipment |
| CN114881619A (en) * | 2022-07-06 | 2022-08-09 | 国网浙江省电力有限公司 | Multi-department purchase plan data through cooperation method and device and readable storage medium |
| CN115619290A (en) * | 2022-12-02 | 2023-01-17 | 北京视野智慧数字科技有限公司 | Method, device and equipment for determining product service of enterprise |
-
2007
- 2007-10-30 CN CNA2007101660418A patent/CN101145227A/en active Pending
Cited By (12)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102457513A (en) * | 2010-11-16 | 2012-05-16 | 中国人民解放军国防科学技术大学 | Method for establishing index system capable of being dynamically configured in computer |
| CN102571381A (en) * | 2010-12-15 | 2012-07-11 | 中国移动通信集团吉林有限公司 | Information storage method and information storage device |
| CN102571381B (en) * | 2010-12-15 | 2015-08-19 | 中国移动通信集团吉林有限公司 | A kind of information storage means and information-storing device |
| CN103186828A (en) * | 2011-12-30 | 2013-07-03 | 金蝶软件（中国）有限公司 | Business processing method and device |
| CN103186828B (en) * | 2011-12-30 | 2016-08-03 | 金蝶软件（中国）有限公司 | A kind of method and device processing business |
| CN106951427A (en) * | 2016-01-07 | 2017-07-14 | 阿里巴巴集团控股有限公司 | A kind of data pick-up method and device of business object |
| CN106951427B (en) * | 2016-01-07 | 2020-08-18 | 阿里巴巴集团控股有限公司 | Data extraction method and device for business object |
| CN109710610A (en) * | 2018-12-17 | 2019-05-03 | 北京三快在线科技有限公司 | Data processing method, device and calculating equipment |
| CN109710610B (en) * | 2018-12-17 | 2020-12-01 | 北京三快在线科技有限公司 | Data processing method and device and computing equipment |
| CN114881619A (en) * | 2022-07-06 | 2022-08-09 | 国网浙江省电力有限公司 | Multi-department purchase plan data through cooperation method and device and readable storage medium |
| CN114881619B (en) * | 2022-07-06 | 2022-09-30 | 国网浙江省电力有限公司 | Multi-department purchase plan data through cooperation method and device and readable storage medium |
| CN115619290A (en) * | 2022-12-02 | 2023-01-17 | 北京视野智慧数字科技有限公司 | Method, device and equipment for determining product service of enterprise |
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