CN115564250A - Computer business modeling method and device - Google Patents
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Abstract
The invention provides a computer business modeling method and a device, wherein the computer business modeling method comprises the following steps: acquiring demand data of a target enterprise, and extracting business activities in the demand data; according to the business target corresponding to the business activity, the extracted business activity is combed; acquiring an operation object and a business entity corresponding to the operation object according to the demand data corresponding to the business activities obtained by combing, and constructing based on the operation object and the business entity corresponding to the operation object; extracting the business entities in the step of construction, acquiring each operation object corresponding to the business entity aiming at each extracted business entity, and clustering the steps with similar operation objects to obtain a clustering step; and extracting the business entities contained in the clustering step, clustering the extracted business entities to obtain business objects, and establishing business micro-services based on the business objects to obtain the business models of the target enterprises. The business modeling efficiency can be improved.
Description
Technical Field
The invention relates to the technical field of business modeling, in particular to a method and a device for modeling computer businesses.
Background
Business modeling is a bridge for transforming business architecture into IT architecture (system) to drive IT architecture design through canonical business modeling. The Business Component (Business Component) in the Business modeling is an enterprise capability oriented, is a basic, unique and non-repetitive building block in an enterprise, consists of high-cohesion and loosely-coupled Business objects (aggregation of Business entities) and tasks (tasks) for operating the Business entities in the Business objects, and has Business capability with definite Business meaning and delivery value. Wherein, the task is composed of steps which are continuously executed by a logic role in a certain time.
In business modeling, business components are generally used for designing business middleware services of an IT framework, and tasks related to the business components are used for designing APIs or functions exposed to the outside of the business middleware services, so that the sources of business processing flows can be defined by accurately identifying and defining the tasks to form standardized tasks, the coupling of the IT framework is reduced, and the maintenance of the IT framework is facilitated. At present, in a business modeling method, task identification is greatly influenced and restricted by steps, but a rule defining the steps is only execution items under the tasks and has a clear meaning, and the qualitative rule is often greatly influenced by subjective understanding and experience during execution and can cause step identification quality irregularity caused by artificial reasons during actual operation, so that the business modeling efficiency is low, the output cannot effectively play a greater value on an IT (information technology) realization side, and the overall benefit is reduced.
Disclosure of Invention
In view of this, the present invention aims to provide a method and an apparatus for modeling a computer business, so as to improve the business modeling efficiency.
In a first aspect, an embodiment of the present invention provides a computer service modeling method, including:
it is characterized by comprising:
acquiring demand data of a target enterprise, and extracting business activities in the demand data;
according to the business target corresponding to the business activity, the extracted business activity is combed;
acquiring an operation object and a business entity corresponding to the operation object according to the demand data corresponding to the business activities obtained by combing, and constructing steps based on the operation object and the business entity corresponding to the operation object;
extracting the business entities in the step of constructing, aiming at each extracted business entity, obtaining each operation object corresponding to the business entity, and clustering the steps with similar operation objects to obtain a clustering step;
and extracting the business entities contained in the clustering step, clustering the extracted business entities to obtain business objects, and establishing business micro-services based on the business objects to obtain the business models of the target enterprises.
With reference to the first aspect, an embodiment of the present invention provides a first possible implementation manner of the first aspect, where the obtaining demand information of a target enterprise and extracting business activities in the demand information includes:
reading the required data;
identifying a business activity in the requirements profile, creating an activity list based on the identified business activity, wherein the activity list comprises one or more identified business activities, and each business activity comprises a business target and the requirements profile corresponding to the business activity.
With reference to the first possible implementation manner of the first aspect, an embodiment of the present invention provides a second possible implementation manner of the first aspect, where the combing extracted business activities according to business targets corresponding to the business activities includes:
and aiming at each business activity in the activity list, combining the business activities according to the business target corresponding to the business activity, and combing the combined business activities to obtain combing activities.
With reference to the second possible implementation manner of the first aspect, an embodiment of the present invention provides a third possible implementation manner of the first aspect, where the merging, according to a service target corresponding to the service activity, the merging of the service activities includes:
placing the first business activity of the same business target in the activity list into the created first combing activity;
and extracting the rest business activities in the activity list, respectively matching the business targets of the extracted business activities with the business targets of the created combing activities, if the business activities are matched with the business targets of the created combing activities, placing the business activities in the matched combing activities, if the business activities are not matched with the business targets of the created combing activities, creating a second combing activity, and placing the business activities in the created second combing activity until all the rest business activities are completely matched.
With reference to the second possible implementation manner of the first aspect, an embodiment of the present invention provides a fourth possible implementation manner of the first aspect, where the combing the combined business activity to obtain a combing activity includes:
and acquiring a business carding activity obtained by carding the extracted business activities, and merging the business carding activity according to the product attribute of the business carding activity to obtain the carding activity.
With reference to the fourth possible implementation manner of the first aspect, an embodiment of the present invention provides a fifth possible implementation manner of the first aspect, where the product attribute includes information about a base product and a product component, and the merging the business combing activity according to the product attribute of the business combing activity includes:
judging whether the business combing activity is related to a product or not;
if so, merging the business combing activities according to the information of basic products and product components;
if not, merging according to the description of the business combing activity.
With reference to the first aspect, an embodiment of the present invention provides a sixth possible implementation manner of the first aspect, where the clustering the steps that operation objects are similar includes:
acquiring the same service entity;
and clustering the acquired steps according to the operation objects corresponding to the acquired steps and a preset operation object similarity table.
With reference to the first aspect and any one of the first possible implementation manner to the sixth possible implementation manner of the first aspect, an embodiment of the present invention provides a seventh possible implementation manner of the first aspect, where after the step of clustering the operation object closeness is performed, and before the step of clustering is obtained, the method further includes:
acquiring an object clustering step obtained by clustering the steps of operating object closeness;
and extracting the business entities in the object step, and clustering the object clustering steps with similar business entities to obtain the clustering step.
With reference to the first aspect and any one possible implementation manner of the first possible implementation manner to the sixth possible implementation manner of the first aspect, an embodiment of the present invention provides an eighth possible implementation manner of the first aspect, where the clustering the extracted service entities includes:
and clustering according to the service targets of the service entities.
With reference to the first aspect and any one of the first possible implementation manner to the sixth possible implementation manner of the first aspect, an embodiment of the present invention provides a ninth possible implementation manner of the first aspect, where the constructing step, based on the operation object and the business entity corresponding to the operation object, includes:
extracting an operation object from the requirement data;
determining a business entity operated by the operation object and a limiting word of the business entity;
and splicing the operation object and the determined business entity with the qualifier to obtain the step.
The method and the device for modeling the computer business provided by the embodiment of the invention extract the business activity in the requirement data by acquiring the requirement data of a target enterprise; according to the business target corresponding to the business activity, the extracted business activity is combed; acquiring an operation object and a business entity corresponding to the operation object according to the demand data corresponding to the business activities obtained by combing, and constructing steps based on the operation object and the business entity corresponding to the operation object; extracting the business entities in the step of constructing, aiming at each extracted business entity, obtaining each operation object corresponding to the business entity, and clustering the steps with similar operation objects to obtain a clustering step; and extracting the business entities contained in the clustering step, clustering the extracted business entities to obtain business objects, and establishing business micro-services based on the business objects to obtain the business models of the target enterprises. Thus, the steps included in the requirement data are extracted according to the business entity and the operation object, so that one step operates one business entity, only the business entity and the operation object are required to be identified, and the operation object is specified to be a verb of 'create' or 'update' type and does not include a verb of 'read' or 'query'. After the obtaining step, the two principles of transaction consistency and the step of executing a logic role in a certain time are recombined to form the task. The steps are defined in a qualitative and quantitative mode, and the step identification quality caused by human factors is reduced. The operability of the steps is improved, the quality of the tasks is guaranteed, and the value and the effect of business construction output on IT design are effectively improved.
In order to make the aforementioned and other objects, features and advantages of the present invention comprehensible, preferred embodiments accompanied with figures are described in detail below.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings needed to be used in the embodiments will be briefly described below, it should be understood that the following drawings only illustrate some embodiments of the present invention and therefore should not be considered as limiting the scope, and for those skilled in the art, other related drawings can be obtained according to the drawings without inventive efforts.
FIG. 1 is a flow chart of a method for modeling computer services according to an embodiment of the present invention;
FIG. 2 is a schematic structural diagram of a computer business modeling apparatus provided by an embodiment of the invention;
fig. 3 is a schematic structural diagram of a computer device 300 according to an embodiment of the present application.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all the embodiments. The components of embodiments of the present invention generally described and illustrated in the figures herein may be arranged and designed in a wide variety of different configurations. Thus, the following detailed description of the embodiments of the present invention, presented in the figures, is not intended to limit the scope of the invention, as claimed, but is merely representative of selected embodiments of the invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments of the present invention without making any creative effort, shall fall within the protection scope of the present invention.
In the embodiment of the invention, the steps contained in the task are analyzed and combed, the Business object of the step of combing is executed as the granularity, the method for constructing the Business model based on the steps is provided, the Business Microservice (Business Microservice) is defined based on the steps through the identification step, and the steps are associated with the Business Microservice.
The embodiment of the invention provides a computer business modeling method and device, which are described by the embodiment.
FIG. 1 is a flow chart of a computer business modeling method provided by an embodiment of the invention.
As shown in fig. 1, the method includes:
in the embodiment of the present invention, as an optional embodiment, acquiring requirement data of a target enterprise, and extracting a business activity in the requirement data includes:
reading the required data;
the business activities in the requirements profile are identified, and an activity list is created based on the identified business activities, wherein the activity list comprises one or more identified business activities, and each business activity comprises a business target and the requirements profile corresponding to the business activity.
In the embodiment of the invention, the data irrelevant to the business activity is filtered out by identifying the business activity in the required data.
In an embodiment of the present invention, as an optional embodiment, the requirement data includes but is not limited to: product requirement specifications, project requirement specifications, operational data, and the like.
In the embodiment of the present invention, as another optional embodiment, in the original activity list, the combing and the subdivision can be performed according to the dimensions of the product, the function, the range, the business target, and the like related to the business activity.
In the embodiment of the invention, when the activity list is created, one-time end-to-end scenes reflecting customer appeal are one service scene, each service scene corresponds to one service activity, one transaction can comprise one-time or multiple-time end-to-end scenes, and if one transaction comprises a plurality of service scenes with different purposes, the service scene corresponding to the transaction can be divided into a plurality of service activities according to the contained service scenes. As an optional embodiment, each service target may be preset, each service target includes a plurality of keywords, similarity calculation is performed on the keywords included in the service scene and the keywords included in each service target, and the service target corresponding to the highest similarity is used as the service target of the service scene (service activity). In the activity list, the business activity name of the business activity corresponds to the business scenario.
in this embodiment of the present invention, as an optional embodiment, the combing extracted service activities according to service targets corresponding to the service activities includes:
and aiming at each business activity in the activity list, combining the business activities according to the business target corresponding to the business activity, and combing the combined business activities to obtain combing activities.
In the embodiment of the invention, whether the business activities in the original activity list can be merged is judged according to the business targets corresponding to the business activities, if the business activities can be merged, the business activities with the same business targets are merged into a combing activity, and the combing activity contains the requirement data of each business activity with the same business targets, and the same requirement data is filtered; if the business activity is not combinable, a new combing activity is created. For example, an empty first combing activity is created, the first business activity of the same business target in the activity list is placed in the created first combing activity, then the business target of one business activity in the rest business activities is matched with the business target of the first combing activity, for example, similarity calculation of the business target is carried out, if matching is carried out, the business activity is placed in the first combing activity, if not matching is carried out, a second combing activity is created, the business activity is placed in the created second combing activity, and in the following process, the rest business activities in the activity list are extracted and respectively matched with the created combing activity until all the business activities are completely matched.
In the embodiment of the present invention, as an optional embodiment, if a service scene can complete a same type of service target, merging may be performed. For example, for a business scenario in which a savings account is opened individually and a business scenario in which a settlement account is opened by a customer, the business targets are both open accounts (one of the preset business targets), and thus, the merging can be performed.
In the embodiment of the present invention, as an optional embodiment, the combing the combined business activity to obtain a combing activity includes:
and acquiring a business combing activity obtained by combing the extracted business activities, and merging the business combing activity according to the product attribute of the business combing activity to obtain the combing activity.
In this embodiment of the present invention, as an optional embodiment, the product attribute includes information of a basic product and a product component, and the merging of the business combing activity according to the product attribute of the business combing activity includes:
judging whether the business combing activity is related to a product;
if yes, merging the business carding activities according to basic product and product component information;
if not, merging according to the description of the business combing activity.
In the embodiment of the invention, the business combing activities are divided into the business combing activities related to the products and the business combing activities unrelated to the products by referring to the product classification lists. If the business combing activity is related to the products, merging the business combing activity according to the basic products and the product components, wherein each basic product and product component corresponds to a merged business combing activity set, namely the combing activity; if the business grooming activity is product independent, merge is performed according to the description of the business event or business grooming activity. Thus, by merging business activities, a basis is established for standardization of business activities.
103, acquiring an operation object and a business entity corresponding to the operation object according to the demand data corresponding to the combed business activities, and constructing a step based on the operation object and the business entity corresponding to the operation object;
in the embodiment of the present invention, the Step (Step) is defined as completing an operation object (action) for a specific business entity in the process of executing a business activity, that is, a Step can clearly answer which operation object is executed and which business entity is operated by the operation object.
In the embodiment of the invention, on the basis of a requirement implementation flow, according to business handling operation, splitting requirement data corresponding to each business activity in the carding activity, acquiring an operation object in the requirement data, and acquiring a business entity corresponding to the operation object, wherein the business entity can also be obtained by matching from a preset business entity library, each operation object corresponds to one business entity, extracting the operation object from the requirement data, determining the business entity operated by the operation object and a limiting word of the business entity, and splicing the operation object and the determined business entity with the limiting word to obtain the step. The operation object is an action, the service entity is a recipient of the action execution, for example, the operation object is open, the recipient of the action execution is a valve switch, and the qualifier of the service entity is: the boiler room is obtained by splicing the operation object and the service entity with the qualifier, and the steps are as follows: and opening a valve switch of the boiler room.
In the embodiment of the invention, as an optional embodiment, the step carding is carried out by utilizing a preset step carding table template, and the step carding table template is shown in table 1. The column of step description is an operation instruction capable of highly restoring the service, and can be extracted according to the service rule in the service requirement specification.
The "precondition" field is a precondition for executing the step and is also a branch judgment condition corresponding to the business activity.
The column of 'business entity' can select an applicable entity from a preset entity master control table and fill the column of 'business entity'; and selecting an accurate verb to fill in the 'operation' field according to the step description.
TABLE 1
104, extracting the service entities in the step of constructing, acquiring each operation object corresponding to each extracted service entity, and clustering the steps with similar operation objects to obtain a clustering step;
in the embodiment of the present invention, the description of the constructed step or the operation object in the constructed step may be detected first, the step is modified for the case that the description of the step is incorrect, the operation object is modified for the case that the description of the operation object is incorrect, after the detection is completed, the business entities in each constructed step are extracted, and for each business entity, the operation object is extracted from the correspondingly constructed step.
In the embodiment of the invention, the steps with the same business entities and similar operation objects are clustered through comparative analysis among the same or similar steps, for example, the step with the same business entities is obtained, and the obtained steps are clustered according to the operation objects corresponding to the obtained steps and a preset operation object similar table. Through clustering, the accuracy of the use of the business entity and the operation object can be further checked, so that the quality of the work result is improved, and a foundation is established for step standardization.
In this embodiment of the present invention, as an optional embodiment, after clustering the steps that are close to the operation object, and before obtaining the clustering step, the method further includes:
acquiring an object clustering step obtained by clustering the steps of operating object closeness;
and extracting the business entities in the object step, and clustering the object clustering steps with similar business entities to obtain the clustering step.
In the embodiment of the present invention, the operation objects are similar, which means that the operation objects are not identical but are synonyms, such as starting, opening, starting, and connecting, and the service entities are similar, which means that the service entities are different but belong to the same preset large or small class entity.
Table 2 shows the step clustering templates and field descriptions.
TABLE 2
In table 2, the name of the clustering step (name of the clustering step) is named by the operation object and the business entity of the step.
And 105, extracting the business entities contained in the clustering step, clustering the extracted business entities to obtain business objects, and establishing business microservices based on the business objects to obtain the business models of the target enterprises.
In the embodiment of the invention, the micro service (Microservice) is a small service formed by a single Application Program Interface (API), has own process and light weight processing, is deployed in a full-automatic mode, can communicate with other micro services by using the HTTP API, can be edited by using different programming languages and databases, and is convenient to realize.
In the embodiment of the present invention, as an optional embodiment, clustering is performed according to a service object of a service entity to form a service object, and a Business Microservice (Business Microservice) is created based on the service object, where the Business Microservice includes the service object and a process for processing the service object. The business microservice of the embodiment of the invention is clustering of the steps of operating the business entities under one business object, and essentially is the aggregation of business capabilities, and the same business microservice can support the same business target on the business capabilities, and the created or maintained business entities are closely related.
In the embodiment of the invention, the business object comprises one or more business entities. The same business microservice can support the same business rule or business target on the business capability, business entities created or maintained by the business microservice are closely related, the steps are represented by the business entities and operation objects, and the steps are merged by the business objects, so that the step-level business microservice is formed.
In the embodiment of the invention, the business microservice consists of a business object and all steps contained in the business object, and can define the internal execution capacity from the internal view of an enterprise, the business process and the information responsibility division.
In the embodiment of the invention, the business function and the business process are more concerned by the business microservice, and the business microservice is constructed based on the clustered business entity, so that the boundaries among the business microservices are clear, and the dependence and the relevance are small; meanwhile, the input, output and processing objects of each business microservice are clear and complete, and business capability can be independently provided.
Table 3 is a description of the service microservice inventory template and the fields according to the embodiment of the present invention.
TABLE 3
In the embodiment of the invention, the business modeling is a bridge for converting an enterprise architecture into an IT architecture, and the standardized business modeling process can effectively drive the IT architecture design. The business middle platform service design is based on flow modeling and data modeling, and is based on a business model obtained by business modeling, wherein the business micro service can be used for designing the business middle platform service of an IT framework and corresponds to an IT application micro service, and the steps related to the business micro service can be used for designing an API or function exposed to the outside of the business middle platform service and corresponds to an IT application API/function interface.
In the embodiment of the invention, the business entity and the operation object in the requirement data are identified, and the steps contained in the requirement data are extracted according to the business entity and the operation object, so that the granularity of the steps is consistent with that of the business entity, namely, one business entity is operated in one step, only the business entity and the operation object are identified, and task identification is not required according to complex rules, so that the difficulty of step identification is reduced, the requirement on business modeling personnel is low, the business modeling work can be started after the business modeling personnel of an enterprise are trained quickly, the business modeling personnel can realize large-scale business modeling in a short time, and the business modeling efficiency is effectively improved; furthermore, by defining the business microservice, the business microservice is associated with each step under the business object to form step-level business microservice, and because the granularity of the steps is small, the granularity of API/function used for the business middle platform service is relatively small, thereby meeting the digital modeling requirement of small enterprises; moreover, the steps are clustered by using a similarity analysis method of the operation object and the service entity, so that the quality of the steps can be checked and improved, and lightweight step-level service microservice modeling is realized; further, a verb such as "read" or "query" is not included by specifying an operand as a verb such as "create" or "update". After the step of obtaining, the two principles of transaction consistency and the step of executing a logic role in a certain time are recombined to form the task. The steps are defined in a qualitative and quantitative mode, and the step identification quality caused by human factors is reduced. The operability of the steps is improved, the quality of the tasks is guaranteed, and the value and the effect of business construction output on IT design are effectively improved.
FIG. 2 is a schematic structural diagram of a computer business modeling apparatus according to an embodiment of the present invention. As shown in fig. 2, the apparatus includes:
the data acquisition module 201 is configured to acquire demand data of a target enterprise and extract business activities in the demand data;
in the embodiment of the present invention, as an optional embodiment, the requirement data includes but is not limited to: product requirement specifications, project requirement specifications, operational data, and the like.
In this embodiment of the present invention, as an optional embodiment, the data obtaining module 201 includes:
a reading unit (not shown) for reading the required data;
and the list creating unit is used for identifying the business activities in the requirement data and creating an activity list based on the identified business activities, wherein the activity list comprises the identified business activities, the business targets and the requirement data corresponding to the business activities.
The activity combing module 202 is used for combing the extracted business activities according to the business targets corresponding to the business activities;
in this embodiment of the present invention, as an optional embodiment, movable grooming module 202 includes:
and a combing unit (not shown in the figure) for combining the business activities according to the business target corresponding to the business activity for each business activity in the activity list, and combing the combined business activities to obtain combing activities.
In the embodiment of the present invention, as an optional embodiment, the carding unit is specifically configured to:
placing the first business activity of the same business target in the activity list into the created first combing activity;
and extracting the rest business activities in the activity list, respectively matching the business targets of the extracted business activities with the business targets of the created combing activities, if the business activities are matched with the business targets of the created combing activities, placing the business activities in the matched combing activities, if the business activities are not matched with the business targets of the created combing activities, creating a second combing activity, and placing the business activities in the created second combing activity until all the rest business activities are completely matched.
In an embodiment of the present invention, as another optional embodiment, the carding unit is further specifically configured to:
and acquiring a business carding activity obtained by carding the extracted business activities, and merging the business carding activity according to the product attribute of the business carding activity to obtain the carding activity.
In this embodiment of the present invention, as an optional embodiment, merging the business combing activities according to the product attributes of the business combing activities includes:
judging whether the business combing activity is related to a product or not;
if so, merging the business combing activities according to the information of basic products and product components;
if not, merging according to the description of the business combing activity.
The step extracting module 203 is configured to obtain an operation object and a business entity corresponding to the operation object according to the requirement data corresponding to the business activity obtained through the combing, and construct a step based on the operation object and the business entity corresponding to the operation object;
in the embodiment of the invention, on the basis of a requirement realization flow, according to business handling operation, splitting requirement data corresponding to each business activity in carding activities, acquiring an operation object in the requirement data, and acquiring a business entity corresponding to the operation object, wherein each operation object corresponds to one business entity, and extracting the operation object from the requirement data; determining a business entity operated by the operation object and a limiting word of the business entity; and splicing the operation object and the determined business entity with the qualifier to obtain the step.
A step clustering module 204, configured to extract the service entities in the constructed step, obtain, for each extracted service entity, each operation object corresponding to the service entity, and cluster the steps with similar operation objects to obtain a clustering step;
in the embodiment of the present invention, as an optional embodiment, clustering the steps close to the operation object includes:
acquiring the same business entity;
and clustering the acquired steps according to the operation objects corresponding to the acquired steps and a preset operation object similarity table.
In this embodiment of the present invention, as an optional embodiment, the step clustering module 204 is further configured to:
obtaining an object clustering step obtained by clustering the steps of operating object closeness;
and extracting the business entities in the object step, and clustering the object clustering steps with similar business entities to obtain the clustering step.
The model building module 205 is configured to extract the business entities included in the clustering step, cluster the extracted business entities to obtain business objects, and create business microservices based on the business objects to obtain the business models of the target enterprises.
In the embodiment of the invention, as an optional embodiment, clustering is carried out according to the business targets of the business entities to form business objects, and business microservices are created based on the business objects. Wherein the business object comprises a plurality of business entities.
As shown in fig. 3, an embodiment of the present application provides a computer device 300 for executing the computer business modeling method in fig. 1, the device includes a memory 301, a processor 302 connected to the memory 301 through a bus, and a computer program stored in the memory 301 and capable of running on the processor 302, wherein the processor 302 implements the steps of the computer business modeling method when executing the computer program.
Specifically, the memory 301 and the processor 302 can be general-purpose memories and processors, which are not limited in particular, and the processor 302 can execute the computer service modeling method when executing the computer program stored in the memory 301.
Corresponding to the computer service modeling method in fig. 1, an embodiment of the present application further provides a computer-readable storage medium, on which a computer program is stored, and the computer program, when executed by a processor, performs the steps of the computer service modeling method.
In particular, the storage medium can be a general-purpose storage medium, such as a removable disk, a hard disk, and the like, and when the computer program on the storage medium is executed, the computer service modeling method can be executed.
In the embodiments provided in the present application, it should be understood that the disclosed system and method may be implemented in other ways. The above-described system embodiments are merely illustrative, and for example, the division of the units is only one type of logical functional division, and other divisions may be realized in practice, and for example, a plurality of units or components may be combined or integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed coupling or direct coupling or communication connection between each other may be through some communication interfaces, indirect coupling or communication connection of systems or units, and may be in an electrical, mechanical or other form.
The units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.
In addition, functional units in the embodiments provided in the present application may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit.
The functions, if implemented in the form of software functional units and sold or used as a stand-alone product, may be stored in a computer readable storage medium. Based on such understanding, the technical solutions of the present application or portions thereof that substantially contribute to the prior art may be embodied in the form of a software product, which is stored in a storage medium and includes several instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the methods described in the embodiments of the present application. And the aforementioned storage medium includes: various media capable of storing program codes, such as a usb disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk, or an optical disk.
It should be noted that: like reference numbers and letters refer to like items in the following figures, and thus once an item is defined in one figure, it need not be further defined and explained in subsequent figures, and moreover, the terms "first", "second", "third", etc. are used merely to distinguish one description from another and are not to be construed as indicating or implying relative importance.
Finally, it should be noted that: the above-mentioned embodiments are only specific embodiments of the present application, and are used for illustrating the technical solutions of the present application, but not limiting the same, and the scope of the present application is not limited thereto, and although the present application is described in detail with reference to the foregoing embodiments, those skilled in the art should understand that: those skilled in the art can still make modifications or changes to the embodiments described in the foregoing embodiments, or make equivalent substitutions for some features, within the technical scope of the present disclosure; such modifications, changes or substitutions do not depart from the spirit and scope of the present disclosure, which should be construed in light of the above teachings. Are intended to be covered by the scope of this application. Therefore, the protection scope of the present application shall be subject to the protection scope of the claims.
Claims (10)
1. A computer business modeling method is characterized by comprising the following steps:
acquiring demand data of a target enterprise, and extracting business activities in the demand data;
combing the extracted business activities according to the business targets corresponding to the business activities;
acquiring an operation object and a business entity corresponding to the operation object according to the demand data corresponding to the business activities obtained by combing, and constructing steps based on the operation object and the business entity corresponding to the operation object;
extracting the business entities in the step of constructing, aiming at each extracted business entity, obtaining each operation object corresponding to the business entity, and clustering the steps with similar operation objects to obtain a clustering step;
and extracting the business entities contained in the clustering step, clustering the extracted business entities to obtain business objects, and establishing business micro-services based on the business objects to obtain the business models of the target enterprises.
2. The method of claim 1, wherein the obtaining of the requirement profile of the target enterprise and the extracting of the business activity in the requirement profile comprises:
reading the required data;
identifying a business activity in the requirements profile, creating an activity list based on the identified business activity, wherein the activity list comprises one or more identified business activities, and each business activity comprises a business target and the requirements profile corresponding to the business activity.
3. The method of claim 2, wherein the combing the extracted business activities according to the business targets corresponding to the business activities comprises:
and aiming at each business activity in the activity list, combining the business activities according to the business target corresponding to the business activity, and combing the combined business activities to obtain combing activities.
4. The method of claim 3, wherein the merging the service activities according to the service targets corresponding to the service activities comprises:
placing the first business activity of the same business target in the activity list into the created combing activity;
and extracting the rest business activities in the activity list, respectively matching the business targets of the extracted business activities with the business targets of the created combing activities, if the business activities are matched with the business targets of the created combing activities, placing the business activities in the matched combing activities, if the business activities are not matched with the business targets of the created combing activities, creating a second combing activity, and placing the business activities in the created second combing activity until all the rest business activities are completely matched.
5. The method of claim 3, wherein the combing the merged business activity to obtain a combing activity comprises:
and acquiring a business combing activity obtained by combing the extracted business activities, and merging the business combing activity according to the product attribute of the business combing activity to obtain the combing activity.
6. The method of claim 5, wherein the product attributes include base product and product component information, and wherein merging the business grooming activities in accordance with the product attributes of the business grooming activities comprises:
judging whether the business combing activity is related to a product or not;
if so, merging the business combing activities according to the information of basic products and product components;
if not, merging according to the description of the business combing activity.
7. The method according to claim 1, wherein the step of clustering proximity operation objects comprises:
acquiring the same business entity;
and clustering the acquired steps according to the operation objects corresponding to the acquired steps and a preset operation object similarity table.
8. The method according to any one of claims 1 to 7, wherein after the step of clustering the proximity operation objects and before the step of obtaining a cluster, the method further comprises:
obtaining an object clustering step obtained by clustering the steps of operating object closeness;
and extracting the business entities in the object step, and clustering the object clustering steps with similar business entities to obtain the clustering step.
9. The method according to any of claims 1 to 7, wherein the clustering the extracted business entities comprises:
and clustering according to the service targets of the service entities.
10. The method according to any one of claims 1 to 7, wherein the constructing step, based on the operation object and the business entity corresponding to the operation object, includes:
extracting an operation object from the requirement data;
determining a business entity operated by the operation object and a limiting word of the business entity;
and splicing the operation object and the determined business entity with the qualifier to obtain the step.
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Application publication date: 20230103 |