CN115018299A - Corporate activity analysis method and system based on corporate foundation library - Google Patents
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Abstract
The invention discloses an enterprise liveness analysis method and system based on a legal person basic library, belonging to the field of big data innovation application; the method comprises the following specific steps: s1, completing the requirement investigation through early-stage confirmation, combing data according to the index model, and carrying out data butt joint with a data source department; s2, aggregating the data, and compiling a treatment task according to the data treatment rule, thereby completing data integration; s3 provides external services and targeted services based on the data integrated in S2, performs service development according to service definition, and continuously updates and maintains the data model and the data services; the system and the method thereof not only provide the function of inquiring the activity information of a single enterprise, but also provide the function of counting the data related to the activity of the enterprise; the function of decision assistance can be achieved; market supervision data chains can be enriched and improved, and a nationwide integrated enterprise liveness analysis basic data system and a data warehouse are constructed.
Description
Technical Field
The invention discloses an enterprise liveness analysis method and system based on a legal person basic library, and relates to the technical field of big data innovation application.
Background
The activity of an enterprise is a wind vane for measuring the market environment, is a weather meter for dynamically reflecting the national economic running state in real time, and is an important economic leading index. Currently, the economy of China enters the key period of optimization and upgrading of industrial structures and conversion of new and old kinetic energy, whether an economic environment with continuously-increased power and competitive advantages can be created or not is mainly determined by enterprise vitality and production benefits in various regions. The method has the advantages of fully playing the comparative advantages of the big data technology and the important role of the credit information public system of the national enterprise, improving the economic operation detection prediction and the risk early warning, reasonably guiding the market expectation, improving the service level and the supervision efficiency of the industrial and commercial supervision departments, and organizing the industrial and commercial administrative bureaus and the market supervision departments of various provinces, autonomous regions and direct jurisdictions to carry out the enterprise activity analysis work.
Therefore, the invention provides a corporate liveness analysis method and system based on a legal person basic library to solve the problems.
Disclosure of Invention
Aiming at the problems in the prior art, the invention provides an enterprise activity degree analysis method and system based on a legal person basic library, and the adopted technical scheme is as follows: an enterprise liveness analysis method based on a legal person basic library comprises the following specific steps:
s1, completing the requirement investigation through early-stage confirmation, carrying out data carding according to the index model, and carrying out data butt joint with a data source department;
s2, the data are converged, and a treatment task is compiled according to the data treatment rule, so that data integration is completed;
s3 provides external service and targeted service based on the data integrated in S2, performs service development according to service definition, and continuously updates and maintains the data model and the data service.
The specific steps of S1 are as follows:
s101, communicating with a client in advance, determining an enterprise activity model, and completing demand investigation;
s102, sorting a data demand list according to the index model to clarify data sources and required information items;
s103, identifying and analyzing the resources of the shared platform to perfect data resources, and further sorting and analyzing.
The specific steps of S2 are as follows:
s201, assisting a big data administrative department to initiate a resource application to a related data providing department through a sharing platform, and appointing a data updating mechanism with the providing department, compiling a data acquisition task aiming at data of each department, and acquiring the data to an original library;
s202, combing data management rules, compiling a management task, storing problem data into a problem library, and writing qualified data into a special problem library;
s203, screening out data representation items capable of reflecting actual enterprise operation conditions from the enterprise behavior data as activity index items.
The specific steps of S3 are as follows:
s301, after the development, the submission and the test are passed, registering and releasing the service to a sharing platform, and providing an inquiry service based on the activity data of the enterprise;
s302, updating and maintaining the data model and the data service, which mainly comprises model updating caused by requirement change, main data updating, data updating of a service association table, adding and updating of data service contents and adding and updating of new application requirements.
An enterprise activity analysis system based on a legal person basic library is characterized by specifically comprising a data acquisition module, a data processing module and a development and maintenance module:
a data acquisition module: completing requirement investigation through early-stage confirmation, performing data carding according to the index model, and performing data butt joint with a data source department;
a data processing module: converging data, compiling a treatment task according to a data treatment rule, and further completing data integration;
developing and maintaining a module: the data integrated based on the data processing module provides external services and targeted services, service development is carried out according to service definition, and a data model and data services are continuously updated and maintained.
The data acquisition module specifically comprises a requirement investigation module, a data carding module and a data docking module:
a requirement investigation module: communicating with clients in advance, determining an enterprise activity model, and completing demand investigation;
the data carding module: the data demand list is sorted according to the index model to clarify data sources and required information items;
a data docking module: and identifying and analyzing the resources of the shared platform to perfect the data resources and further sorting and analyzing.
The data processing module specifically comprises a data convergence module, a data management module and a data integration module:
a data aggregation module: assisting a big data administration department to initiate a resource application to a related data providing department through a sharing platform, and providing a data updating mechanism appointed by the department, compiling a data acquisition task aiming at data of each department, and acquiring the data to an original library;
the data management module: combing data treatment rules, compiling treatment tasks, storing problem data into a question bank, and writing qualified data into a special question bank;
the data integration module: and screening out data representation items capable of reflecting actual enterprise operation conditions from the enterprise behavior data as activity index items.
The development maintenance module specifically comprises a service development module and a data updating module.
A service development module: after the development is completed and the submission test is passed, registering and releasing the service to a sharing platform, and providing an inquiry service based on the enterprise activity data;
a data updating module: the updating and maintenance of the data model and the data service mainly comprises model updating caused by requirement change, main data updating, data updating of a business association table, addition and updating of data service contents and addition and updating of new application requirements.
The invention has the beneficial effects that:
the invention discloses an enterprise activity degree analysis method based on a legal person basic library. The core content of the invention comprises a data combing method, a data modeling method and a new mode for providing data service based on corporate base database data. The system and the method thereof can provide effective reference for the aspects of enterprise activity information inquiry and statistics.
According to the invention, on one hand, macro economic data detection and prediction means can be enriched, the overall situation of the survival and development of the enterprise can be known more accurately, the accuracy of the development and cultivation and development kinetic energy of the service enterprise can be improved, and support can be provided for the structural reform of the deepened supply side. On the other hand, the enthusiasm of people for sharing open data is stimulated, the data flow through sharing the open data, more innovative application scenes are enabled through the data, the data value is further released, and the acquisition feeling and the happiness feeling of the masses and enterprises are effectively improved.
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In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings needed to be used in the description of the embodiments or the prior art will be briefly introduced below, and it is obvious that the drawings in the following description are some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to these drawings without creative efforts.
FIG. 1 is a flow chart of the method of the present invention.
Detailed Description
The present invention is further described with reference to the accompanying drawings and specific examples so that those skilled in the art may better understand the invention and practice it, but the examples are not intended to limit the invention;
the first embodiment is as follows:
an enterprise liveness analysis method based on a legal person basic library comprises the following specific steps:
s1, completing the requirement investigation through early-stage confirmation, carrying out data carding according to the index model, and carrying out data butt joint with a data source department;
s2, the data are converged, and a treatment task is compiled according to the data treatment rule, so that data integration is completed;
s3 provides external services and targeted services based on the data integrated in S2, performs service development according to service definition, and continuously updates and maintains the data model and the data services;
the method has the advantages that one source is adhered to, multiple verification is performed, data are maintained and updated in time according to the principle of 'who is responsible for, who is provided and who is responsible', the integrity, accuracy, timeliness and availability of the data are guaranteed, and a complete and comprehensive data directory list is finally formed; an access mode supporting multiple data types is provided, and the data is ensured to be accessed quickly and efficiently;
the data acquisition task acquires data to an original library; the data quality detection and data desensitization rules are combed, and the data quality detection and desensitization are carried out on the public data, so that the data security is effectively guaranteed; based on the butted data, establishing an incidence relation among the data, such as data models of enterprise attribute information, enterprise operation state information, enterprise operation activity information and the like;
extracting a service list which can be provided externally based on standard data, or providing service according to user requirements pertinence, and performing related development work according to the service list; the data model and the data service are continuously updated and maintained, and the method mainly comprises but is not limited to model updating caused by requirement change, main data updating, data updating of a service association table, new adding and updating of data service contents, new adding and updating of new application requirements and the like;
further, the specific steps of S1 are as follows:
s101, communicating with a client in advance, determining an enterprise activity model, and completing demand investigation;
s102, sorting a data demand list according to the index model to clarify data sources and required information items;
s103, identifying and analyzing the resources of the sharing platform to perfect data resources, and further sorting and analyzing;
the definition of the enterprise activity model by governments in various regions may be different, and before carrying out specific work, the government needs to communicate with customers first to make clear the enterprise activity model (index); the landing scheme is adjusted in time according to the requirements of customers, so that the special service is accurate and effective;
after customer requirements and expectations are determined, a data requirement list is required to be arranged according to the index model, and data sources and required information items are determined; the data demand list is generally sorted by means of department investigation, data asset sorting and the like;
combing the corresponding situation of the data resources according to a data demand list in the enterprise liveness landing scheme and by combining with the actual situation of the project; searching resources from a sharing platform, wherein due to the fact that construction data of the sharing platform in various places are different in quality, duplicate names or fuzzy resource content is possibly generated, the searched resources need to be identified and analyzed, and proper resources are selected; for the same resources shared by different levels of provinces, cities and counties, communication confirmation with customers is required, and which item is used as a standard is determined; for the resource meeting the requirement, the condition of the information item needs to be further confirmed; if the information item cannot correspond to the information item in the demand list, and is missing or ambiguous, the missing information item or the question information item list needs to be sorted out so as to be further communicated with departments; for the data requirements which are not shared on the sharing platform, a list also needs to be arranged to prepare for the next opinion solicitation;
according to the data resource combing condition, integrating the data resources and the related problems of the information items to form a project data demand list, wherein the project data demand list comprises the unshared resources and the shared resources which are missing or ambiguous; the project data demand list needs to be sent to each business department to ask for the opinion of the business department on the data demand, and whether feedback can be provided or supplemented, and the reason of the requirement which cannot be provided or supplemented is explained; compiling a solicitation comment draft, reporting client approval and then sending to each department; subsequently, pushing each department to feed back in time and answering the problems of each department;
according to the final condition of feedback of the requested opinions, further sorting and analyzing are needed, the problem is continuously communicated with departments, data which do not accord with scheme planning or cannot meet the construction requirement are replaced through other resources or ways, meanwhile, the construction scheme is adjusted in a personalized mode according to the investigation condition, and a data requirement list and source departments are finally determined; the next step is to write the formal notification manuscript for data aggregation, and send the formal notification manuscript to each department after the client approval is reported;
further, the specific step of S2 is as follows:
s201, assisting a big data administrative department to initiate a resource application to a related data providing department through a sharing platform, and writing a data acquisition task aiming at data of each department with a providing department appointed data updating mechanism, and acquiring the data to an original library;
s202, combing data management rules, compiling a management task, storing problem data into a problem library, and writing qualified data into a special problem library;
s203, screening out data representation items capable of reflecting actual enterprise operation conditions from the enterprise behavior data as activity index items;
after the official document is published, all departments need to be pushed to share resources in time according to the data aggregation requirement; after the related resources are shared, assisting a big data administration department to initiate a resource application to a related data providing department through a sharing platform, and providing a data updating mechanism appointed by the department so as to ensure the freshness and the activity of the data; after the application is passed, compiling a data acquisition task aiming at data of each department, and acquiring the data to an original library;
combing data management rules aiming at the data convergence condition, wherein the rules specifically comprise integrity, standard, consistency, normalization and the like; writing a treatment task according to the data treatment rule, storing the problem data into a question bank, and writing qualified data into a special question bank; various problems may be encountered in the treatment process, such as an operation environment problem, a database problem, a flow problem and the like, and the problems need to be solved in a targeted manner;
the enterprise operation activities relate to a plurality of behaviors, including registration change, case punishment, tax payment information, social security payment information, recruitment information, market propaganda and the like, and the data come from a plurality of service departments; specific demand data and data sources (legal foundation or data sharing platform) need to be determined according to the enterprise activity index items; a plurality of data representation items capable of reflecting actual enterprise operation conditions must be screened out from each behavior as activity index items;
further, the specific step of S3 is as follows:
s301, after the development, the submission and the test are passed, registering and releasing the service to a sharing platform, and providing an inquiry service based on the activity data of the enterprise;
s302, updating and maintaining a data model and a data service, wherein the updating and maintaining of the data model and the data service mainly comprises model updating, main data updating, data updating of a business association table, new adding and updating of data service contents and new adding and updating of new application requirements caused by requirement change;
extracting services which can be provided externally or specifically according to user requirements based on standard data of enterprise activity thematic precipitation, and carrying out related development work according to service definition; after the development is completed and the submission test is passed, the service registration is issued to the sharing platform to support the requirements of relevant departments; the enterprise liveness topic can provide query services based on enterprise liveness data;
the data model and the data service are continuously updated and maintained, and the method mainly comprises but is not limited to model updating caused by requirement change, main data updating, data updating of a service association table, new adding and updating of data service contents, new adding and updating of new application requirements and the like;
the enterprise activity analysis can fully utilize modern technical means such as the Internet, the Internet of things, big data, a cloud platform and the like, and the process capable of reflecting the survival development condition and the whole activity value of the enterprise is obtained through quantitative analysis and weighted summarization by taking enterprises in all or a specific range as objects and aiming at enterprise related information and acquired production and operation activity information of government departments related to the enterprises in a period of time by means of a preset model algorithm and an index system. The enterprise activity analysis work is organized and developed, advanced concepts, technologies and resources of big data are utilized, industrial and commercial data resources, government department involved information, related unit enterprise operation state information and the comprehensive potential of internet data are deeply excavated, and the enterprise and market supervision department carries out specific measures of ' internet + government affair service ', creation and development of new engines, cultivation and development of new kinetic energy and ' three environments ' of force building '.
The system and the method thereof not only provide the function of inquiring the activity information of a single enterprise, but also provide the function of counting the related data of the activity of the enterprise, including the distribution condition of the activity of the enterprise in different areas, the distribution condition of the industry of active enterprises, the distribution condition of the industry of inactive enterprises and the like.
Can play a role of assisting decision. The method is characterized in that the method insists on a center and a service bureau, sets indexes, weights and algorithms of enterprise activity analysis according to requirements of local party committee governments, organizes and carries out analysis work, regularly forms enterprise activity analysis reports covering classification categories and categories of national economy industry, and timely reports local decisions to provide reference.
Can enrich and perfect the market supervision data chain. The method initiatively pushes and opens data related to market supervision to other government departments and orderly opens the data related to market supervision to the society according to law, enhances the transparency of the market supervision work, also strengthens and promotes the government departments to relate to the unified collection of enterprise information and the sharing application of related information, fully fuses social data, enriches and perfects a market supervision data chain, and actively constructs a nationwide integrated enterprise activeness analysis basic data system and a data warehouse.
Although China has made some practical exploration in the aspect of enterprise activity analysis work, and some local governments have made some progress in the aspects of enterprise activity analysis, data innovation application and the like, at present, the depth of data development and utilization in China is not enough, and particularly the problem of how to guarantee the data security and privacy protection in the data opening process is solved. Therefore, in order to better exert the data value, taking an enterprise liveness analysis method based on a legal foundation library as an example, the method inspires more people to comb and innovate the application, releases the data value and develops the consciousness of using data to speak and using data to make a decision.
Example two:
an enterprise liveness analysis system based on a legal person basic library is characterized by specifically comprising a data acquisition module, a data processing module and a development and maintenance module:
a data acquisition module: completing requirement investigation through early-stage confirmation, performing data carding according to the index model, and performing data butt joint with a data source department;
a data processing module: gathering data, and compiling a treatment task according to a data treatment rule so as to complete data integration;
developing and maintaining a module: providing external services and targeted services based on data integrated by the data processing module, developing the services according to the service definition, and continuously updating and maintaining the data model and the data services;
the data acquisition module specifically comprises a requirement investigation module, a data carding module and a data docking module:
a requirement investigation module: communicating with clients in advance, determining an enterprise activity model, and completing demand investigation;
the data carding module: the data demand list is arranged according to the index model to define data sources and required information items;
a data docking module: identifying and analyzing the resources of the shared platform to perfect data resources, and further sorting and analyzing;
the data processing module specifically comprises a data convergence module, a data management module and a data integration module:
a data aggregation module: assisting a big data administration department to initiate a resource application to a related data providing department through a sharing platform, and providing a data updating mechanism appointed by the department, compiling a data acquisition task aiming at data of each department, and acquiring the data to an original library;
the data management module: combing data treatment rules, compiling treatment tasks, storing problem data into a question bank, and writing qualified data into a special question bank;
the data integration module: screening out data representation items capable of reflecting actual enterprise operation conditions from the enterprise behavior data as activity index items;
the development maintenance module specifically comprises a service development module and a data updating module;
a service development module: after the development is completed and the submission test is passed, registering and releasing the service to a sharing platform, and providing an inquiry service based on the enterprise activity data;
a data updating module: the updating and maintenance of the data model and the data service mainly comprise model updating caused by requirement change, main data updating, data updating of a business association table, addition and updating of data service contents and addition and updating of new application requirements.
Finally, it should be noted that: the above examples are only intended to illustrate the technical solution of the present invention, but not to limit it; although the present invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; and such modifications or substitutions do not depart from the spirit and scope of the corresponding technical solutions of the embodiments of the present invention.
Claims (8)
1. An enterprise liveness analysis method based on a legal person basic library is characterized by comprising the following specific steps:
s1, completing the requirement investigation through early-stage confirmation, combing data according to the index model, and carrying out data butt joint with a data source department;
s2, the data are converged, and a treatment task is compiled according to the data treatment rule, so that data integration is completed;
s3 provides external service and targeted service based on the data integrated in S2, performs service development according to service definition, and continuously updates and maintains the data model and the data service.
2. The method as claimed in claim 1, wherein the step S1 is as follows:
s101, communicating with a client in advance, determining an enterprise activity model, and completing demand investigation;
s102, sorting a data demand list according to the index model to clarify data sources and required information items;
s103, identifying and analyzing the resources of the shared platform to perfect the data resources, and further sorting and analyzing.
3. The method as claimed in claim 2, wherein the step S2 is as follows:
s201, assisting a big data administrative department to initiate a resource application to a related data providing department through a sharing platform, and writing a data acquisition task aiming at data of each department with a providing department appointed data updating mechanism, and acquiring the data to an original library;
s202, combing data management rules, compiling a management task, storing problem data into a problem library, and writing qualified data into a special problem library;
s203, screening out data representation items capable of reflecting actual enterprise operation conditions from the enterprise behavior data as activity index items.
4. The method as claimed in claim 3, wherein the step of S3 is as follows:
s301, after the development, the submission and the test are passed, registering and releasing the service to a sharing platform, and providing an inquiry service based on the activity data of the enterprise;
s302, updating and maintaining the data model and the data service, which mainly comprises model updating caused by requirement change, main data updating, data updating of a service association table, adding and updating of data service contents and adding and updating of new application requirements.
5. An enterprise liveness analysis system based on a legal person basic library is characterized by specifically comprising a data acquisition module, a data processing module and a development and maintenance module:
a data acquisition module: completing requirement investigation through early-stage confirmation, performing data carding according to the index model, and performing data butt joint with a data source department;
a data processing module: gathering data, and compiling a treatment task according to a data treatment rule so as to complete data integration;
developing and maintaining a module: the data integrated based on the data processing module provides external services and targeted services, service development is carried out according to service definitions, and data models and data services are continuously updated and maintained.
6. The system of claim 5, wherein the data acquisition module specifically comprises a demand research module, a data combing module, and a data docking module:
a requirement investigation module: the method comprises the steps of firstly communicating with customers, determining an enterprise activity model, and completing demand investigation;
the data carding module: the data demand list is sorted according to the index model to clarify data sources and required information items;
a data docking module: and identifying and analyzing the resources of the shared platform to perfect the data resources and further sorting and analyzing.
7. The system of claim 6, wherein the data processing module specifically comprises a data aggregation module, a data governance module and a data integration module:
a data aggregation module: assisting a big data administration department to initiate a resource application to a related data providing department through a sharing platform, and providing a data updating mechanism appointed by the department, compiling a data acquisition task aiming at data of each department, and acquiring the data to an original library;
a data management module: combing data treatment rules, compiling treatment tasks, storing problem data into a question bank, and writing qualified data into a special question bank;
the data integration module: and screening out data representation items capable of reflecting actual enterprise operation conditions from the enterprise behavior data as activity index items.
8. The system according to claim 7, wherein said development and maintenance modules include in particular a service development module and a data update module.
A service development module: after the development is completed and the submission test is passed, registering and releasing the service to a sharing platform, and providing an inquiry service based on the enterprise activity data;
a data updating module: the updating and maintenance of the data model and the data service mainly comprises model updating caused by requirement change, main data updating, data updating of a business association table, addition and updating of data service contents and addition and updating of new application requirements.
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| CN115544184A (en) * | 2022-12-05 | 2022-12-30 | 多链互联信息科技南京有限公司 | Multi-source data integration platform based on information acquisition and construction method thereof |
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2022
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115544184A (en) * | 2022-12-05 | 2022-12-30 | 多链互联信息科技南京有限公司 | Multi-source data integration platform based on information acquisition and construction method thereof |
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