Informatization method and system applied to grassroots governance service

Abstract

The invention particularly relates to an informatization method and system applied to grassroots governance services. According to the informatization method applied to the grassroots governance business, data requirements of grassroots work are taken as a starting point, and external shared data, business application data, normalized report data and basic information data are collected into a table model; fusing and comparing the collected data of each party, fusing and connecting the data of each field in series by utilizing the unique identity label of each behavior subject in the basic-level work to form a full-amount database, and collecting the full-amount database into a table model; and applying the fused and compared data in the table model to basic governance work, wherein the basic governance work comprises automatic report filling and data enabling for business application. According to the informatization method and system applied to the grassroots governance business, the limitation of a thematic library of a traditional system database is broken, the efficiency and effect of grassroots work are improved, data mastered by the grassroots are more accurate, and the effective utilization space of the data is greatly improved.

Description

Technical Field

[0001] The present invention relates to the field of data governance technology, and in particular to an information technology method and system applied to grassroots governance business. Background Art

[0002] Although the physical scope of grassroots governance is small, it is all-encompassing. Almost all the business generated by the operation of society is included within the scope of a street. How to conveniently collect, manage and use grassroots data has become a problem that needs to be solved urgently.

[0003] The traditional grassroots governance information system has the following defects in data management:

[0004] First of all, the database in the traditional grassroots governance system only serves a single work scenario, and data in various fields can only play a role in a limited space.

[0005] Secondly, data in traditional systems can only be updated through direct system operations. The source of data updates is single, and over time, the data in the system will have poor timeliness, be unable to help actual work, and may even cause misleading drawbacks.

[0006] At the same time, in the authority design of traditional systems, authorization is generally carried out according to area, menu, and operation security. Starting from the dimension of data, there are only two dimensions, area and menu, to determine the visible scope of data for users. Data can only be used within a limited working scope, which greatly limits the value and role of data.

[0007] In order to realize the overall integration and application of internal and external data of the system, the present invention proposes an information method and system applied to grassroots governance business. Summary of the invention

[0008] In order to remedy the deficiencies of the prior art, the present invention provides a simple and efficient information method and system for application in grassroots governance business.

[0009] The present invention is achieved through the following technical solutions:

[0010] An information technology method applied to grassroots governance business, characterized by comprising the following steps:

[0011] Step S1: Data collection

[0012] Taking the data needs of grassroots work as the starting point, external shared data, business application data, normalized report data and basic information data are collected into a table model;

[0013] Step S2: Data fusion

[0014] The collected data from all parties are integrated and compared, and the unique identity of each actor in grassroots work is used to integrate and connect the data in various fields to form a full database and collect them into a table model;

[0015] At the same time, compare whether there are conflicts in field data with the same meaning to improve data quality;

[0016] Step S3: Data utilization

[0017] Apply the integrated and compared data in a table model to grassroots governance work, including automatic filling of reports and data empowerment for business applications.

[0018] In step S1, subject files are established based on various behavioral subjects in grassroots work, and a full database is established for each behavioral subject, that is, a table model for collecting all basic data, business data and activity data related to each subject.

[0019] According to the business division of grassroots staff, all data involved in the business scope of the behavior subject are divided, multiple business segments are established, and business fields are defined for each business segment, and different data sources are connected to obtain data from all parties.

[0020] In the step S1, a business segment management unit is established according to the actual basic business segment as the authorization granularity, and data is segmented and maintained and user role authorization is performed, and users can intelligently view and call data in the authorized business segment.

[0021] In the step S1, data is updated in a table model according to the preset update logic of each data source, according to a custom cycle or according to business occurrence.

[0022] In step S2, when data is merged, field data with the same meaning are continuously compared to see if there is any conflict, shared data information is continuously compared, clues of information changes are discovered, clues to be verified and data update clues are generated, and sent to operators to implement updates to improve data quality.

[0023] An information system applied to grassroots governance business, including:

[0024] The data collection module is responsible for collecting external shared data, business application data, normalized report data and basic information data into a table model based on the data needs of grassroots work;

[0025] The data fusion module is responsible for fusing and comparing the collected data from all parties. It uses the unique identity of each actor in the grassroots work to fuse and connect the data in various fields to form a full database and aggregate it into a table model. It also compares whether there are conflicts in field data with the same meaning to improve data quality.

[0026] The data utilization module is responsible for applying the integrated and compared data in a table model to grassroots governance work, including automatically filling out reports and enabling data for business applications.

[0027] The data collection module establishes subject files based on various behavioral subjects in grassroots work, and establishes a full database for each behavioral subject, that is, a table model, which is used to collect all basic data, business data and activity data related to each subject;

[0028] According to the business division of grassroots staff, all data involved in the business scope of the behavior subject are divided, multiple business segments are established, and business fields are defined for each business segment, and different data sources are connected to obtain data from all parties.

[0029] The data collection module establishes a business segment management unit according to the actual basic business segment as the authorization granularity, performs segment management, maintenance and user role authorization on the data, and the user intelligently views and calls the data in the authorized business segment.

[0030] The data collection module updates data to a table model according to the preset update logic of each data source, according to a custom cycle or according to business occurrence.

[0031] An information technology device applied to grassroots governance business, characterized in that it includes a memory and a processor; the memory is used to store computer programs, and the processor is used to implement the above-mentioned method steps when executing the computer program.

[0032] A readable storage medium, characterized in that: a computer program is stored on the readable storage medium, and the computer program implements the above method steps when executed by a processor.

[0033] The beneficial effects of the present invention are as follows: the information method and system applied to grassroots governance business breaks the limitations of the subject library of the traditional system database, improves the efficiency and effectiveness of grassroots work, makes the data mastered by the grassroots more accurate, and greatly improves the effective utilization space of data. BRIEF DESCRIPTION OF THE DRAWINGS

[0034] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0035] Attached Figure 1 It is a schematic diagram of the information method of the present invention applied to grassroots governance business.

[0036] Attached Figure 2 The figure is a schematic diagram of a table model of the present invention.

[0037] Attached Figure 3 The figure is a schematic diagram of the application relationship between a table model and a normalized report of the present invention.

[0038] Attached Figure 4 This is a schematic diagram of the relationship between a table model and business applications in the present invention.

[0039] Attached Figure 5 It is a schematic diagram of the relationship between a table model and basic information application of the present invention. DETAILED DESCRIPTION

[0040] In order to enable those skilled in the art to better understand the technical solutions in the present invention, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work should fall within the scope of protection of the present invention.

[0041] The information technology method applied to grassroots governance business includes the following steps:

[0042] Step S1: Data collection

[0043] Taking the data needs of grassroots work as the starting point, external shared data, business application data, normalized report data and basic information data are collected into a table model;

[0044] While completing daily data collection at the grassroots level, normalized reports update relevant data in real time to the corresponding business segment in a table model.

[0045] When needed, normalized reports can obtain data from a table model for intelligent filling.

[0046] While the business application completes the basic specialized work, it updates the relevant data to the corresponding business segment in a table model in real time.

[0047] The data required by business applications can be obtained from a table model.

[0048] Basic information maintains the basic attributes of grassroots behavioral entities, and will update the new entities and their data to the basic information business segment in a table model every day.

[0049] Since a table model obtains data from normalized reports and business applications, the data in it may differ from the basic information data, which is an important source of data update, so it is necessary to discover these data differences through the information conflict comparison center. After the differences are resolved, the basic information and the table model data are updated at the same time.

[0050] In step S1, a subject file is established based on various behavioral subjects (residents, enterprises, facilities, vehicles, projects, etc.) in grassroots work, and a full database is established for each behavioral subject, that is, a one-table model, such as "one table for residents" and "one table for enterprises", which is used to collect all basic data, business data and activity data related to each subject;

[0051] The data scope of a table model is too large to be open to all users. Data permissions also need to be divided according to the business division of grassroots staff. The system uses the concept of "business segmentation" to divide all data involved in the business scope of the subject, establish multiple business segments, and define business fields for each business segment, connecting to different data sources to obtain data from all parties.

[0052] In the data model constructed by "XX one table" and "business segment", data from multiple sources is collected to enrich the data content of the one table model. Each data source is associated with a fixed "business segment" to provide authoritative or reliable data of a certain business to the one table model.

[0053] In step S1, a business segment management unit is established according to the authorization granularity (household registration, disability care, elderly care services, etc.) of the actual grassroots business segment, and data is segmented, maintained, and user role authorization is performed. Users who have authorized business segments can use the data in these business segments in various scenarios, and data in business segments that have not been authorized cannot be seen.

[0054] In the step S1, data is updated in a table model according to the preset update logic of each data source, according to a custom cycle or according to business occurrence.

[0055] Step S2: Data fusion

[0056] The collected data from all parties are integrated and compared, and the unique identity of each actor in grassroots work is used to integrate and connect the data in various fields to form a full database and collect them into a table model;

[0057] At the same time, compare whether there are conflicts in field data with the same meaning to improve data quality;

[0058] In step S2, when data is merged, field data with the same meaning are continuously compared to see if there is any conflict, shared data information is continuously compared, clues of information changes are discovered, clues to be verified and data update clues are generated, and sent to operators to implement updates to improve data quality.

[0059] For example, by utilizing shared data from all parties, we can provide grassroots units with information clues on the increase or decrease in the number of residents in the jurisdiction, as well as changes in information, such as the birth of newborns, recent immigration, deaths, moves, changes in contact information, etc.

[0060] Step S3: Data utilization

[0061] Apply the integrated and compared data in a table model to grassroots governance work, including automatic filling of reports and data empowerment for business applications.

[0062] Grassroots governance is a work scenario where the value of data can be brought into play. In all grassroots work, we can explore ways to utilize data to improve efficiency and reduce the burden on the grassroots.

[0063] In daily work, grassroots staff customize and select useful data fields from a table model according to work needs to generate work forms.

[0064] After receiving the form-filling task issued by their superiors, grassroots staff use the data in a table model to automatically fill in the form to reduce their workload.

[0065] The information system applied to grassroots governance business includes:

[0066] The data collection module is responsible for collecting external shared data, business application data, normalized report data and basic information data into a table model based on the data needs of grassroots work;

[0067] The data fusion module is responsible for fusing and comparing the collected data from all parties. It uses the unique identity of each actor in the grassroots work to fuse and connect the data in various fields to form a full database and aggregate it into a table model. It also compares whether there are conflicts in field data with the same meaning to improve data quality.

[0068] The data utilization module is responsible for applying the integrated and compared data in a table model to grassroots governance work, including automatically filling out reports and enabling data for business applications.

[0069] The data collection module establishes subject files based on various behavioral subjects in grassroots work, and establishes a full database for each behavioral subject, that is, a table model, which is used to collect all basic data, business data and activity data related to each subject;

[0070] According to the business division of grassroots staff, all data involved in the business scope of the behavior subject are divided, multiple business segments are established, and business fields are defined for each business segment, and different data sources are connected to obtain data from all parties.

[0071] The data collection module establishes a business segment management unit according to the actual basic business segment as the authorization granularity, performs segment management, maintenance and user role authorization on the data, and the user intelligently views and calls the data in the authorized business segment.

[0072] The data collection module updates data to a table model according to the preset update logic of each data source, according to a custom cycle or according to business occurrence.

[0073] The external shared data refers to a variety of data sources outside the system, providing data support for various business areas of the system.

[0074] The basic information data is the main archive of the grassroots jurisdiction, where grassroots staff enter and maintain the main information of residents, enterprises, facilities, vehicles, projects, etc.

[0075] The business applications provide assistance for many grassroots tasks. The system provides business applications for a variety of customized scenarios to help grassroots staff complete tasks more easily by quickly calculating, filtering, and comparing data.

[0076] Routine reports are reports filled out by grassroots units, part of which has become routine work. The system provides a routine report module. Users can use the data in the "one table model" to automatically fill in part of the content and then add the remaining part to complete the entry and maintenance work.

[0077] A report task refers to report work that has not been turned into a regular report. As a temporary report task, it can also be filled in using the data in the "one table model" and submitted to the superior after the supplementary filling is completed.

[0078] The one-table model is a data model formed after data aggregation. It uses the identity information of the behavioral subject to connect data from various business fields and provide data resources for grassroots governance work scenarios.

[0079] The data fusion module finds some information conflicts through data comparison during the data aggregation process. These information conflicts are important clues for data update. By displaying information conflict clues, grassroots users can be reminded to implement information changes and update various data in the system.

[0080] The information technology equipment applied to grassroots governance business includes a memory and a processor; the memory is used to store computer programs, and the processor is used to implement the above-mentioned method steps when executing the computer program.

[0081] The readable storage medium stores a computer program, and when the computer program is executed by a processor, the above method steps are implemented.

[0082] In summary, the information technology method and system applied to grassroots governance business has the following characteristics:

[0083] First, it breaks the limitations of the thematic database of traditional system databases and establishes a full database for grassroots governance work, making it convenient for staff to quickly obtain various data to empower their work and improving the efficiency and effectiveness of grassroots work.

[0084] Second, use various internal and external data sources to compare data within the system, identify data differences, provide update clues, and supplement the grassroots full database with fresh and dynamic data, so that the data held by the grassroots can be more accurate and more helpful for actual work.

[0085] Third, the concept of data permissions was introduced, using data "business segmentation" as the management granularity to control data permissions, and providing a variety of intelligent tools so that users who "should" see the data can flexibly use the rich data in the system, greatly improving the effective use of data.

[0086] The embodiment described above is only one specific implementation of the present invention. Common changes and substitutions made by those skilled in the art within the scope of the technical solution of the present invention should be included in the protection scope of the present invention.

Claims

1. An information technology method applied to grassroots governance business, characterized by: The following steps are involved: Step S1: Data collection Taking the data needs of grassroots work as the starting point, external shared data, business application data, normalized report data and basic information data are collected into a table model; Step S2: Data fusion The collected data from all parties are integrated and compared, and the unique identity of each actor in grassroots work is used to integrate and connect the data in various fields to form a full database and collect them into a table model; At the same time, compare whether there are conflicts in field data with the same meaning to improve data quality; Step S3: Data utilization Apply the integrated and compared data in a table model to grassroots governance work, including automatic filling out of reports and enabling data for business applications.

2. The information technology method applied to grassroots governance business according to claim 1 is characterized by: In step S1, a subject file is established based on various behavioral subjects in grassroots work, and a full database is established for each behavioral subject, that is, a table model is established to collect all basic data, business data and activity data related to each subject; According to the business division of grassroots staff, all data involved in the business scope of the behavior subject are divided, multiple business segments are established, and business fields are defined for each business segment, and different data sources are connected to obtain data from all parties.

3. The information technology method applied to grassroots governance business according to claim 2 is characterized by: In the step S1, a business segment management unit is established according to the actual basic business segment as the authorization granularity, and data is segmented, maintained and user role authorized, and the user intelligently views and calls the data in the authorized business segment; According to the preset update logic of each data source, update data to a table model according to a custom cycle or business occurrence.

4. The information technology method applied to grassroots governance business according to claim 1 is characterized by: In step S2, when data is merged, field data with the same meaning are continuously compared to see if there is any conflict, shared data information is continuously compared, clues of information changes are discovered, clues to be verified and data update clues are generated, and sent to operators to implement updates to improve data quality.

5. An information system applied to grassroots governance business, characterized by: include: The data collection module is responsible for collecting external shared data, business application data, normalized report data and basic information data into a table model based on the data needs of grassroots work; The data fusion module is responsible for fusing and comparing the collected data from all parties. It uses the unique identity of each actor in the grassroots work to fuse and connect the data in various fields to form a full database and aggregate it into a table model; Compare field data with the same meaning to see if there are any conflicts to improve data quality; The data utilization module is responsible for applying the integrated and compared data in a table model to grassroots governance work, including automatically filling out reports and enabling data for business applications.

6. The information system for grassroots governance business according to claim 5 is characterized by: The data collection module establishes subject files based on various behavioral subjects in grassroots work, and establishes a full database for each behavioral subject, that is, a table model, which is used to collect all basic data, business data and activity data related to each subject; According to the business division of grassroots staff, all data involved in the business scope of the behavior subject are divided, multiple business segments are established, and business fields are defined for each business segment, and different data sources are connected to obtain data from all parties.

7. The information system for grassroots governance business according to claim 6 is characterized by: The data collection module establishes a business segment management unit according to the actual basic business segment as the authorization granularity, performs segment management, maintenance and user role authorization on the data, and the user intelligently views and calls the data in the authorized business segment; The data collection module updates data to a table model according to the preset update logic of each data source, according to a custom cycle or according to business occurrence.

8. The information system for grassroots governance business according to claim 5 is characterized by: During the data fusion process, the data fusion module continuously compares field data with the same meaning to see if there are any conflicts, continuously compares shared data information, discovers clues of information changes, generates clues to be verified and data update clues, and sends them to operators to implement updates to improve data quality.

9. An information technology device applied to grassroots governance business, characterized by: The method comprises a memory and a processor; the memory is used to store a computer program, and the processor is used to implement the method according to any one of claims 1 to 4 when executing the computer program.

10. A readable storage medium, characterized in that: The readable storage medium stores a computer program, and when the computer program is executed by a processor, the method according to any one of claims 1 to 4 is implemented.

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