CN114138260A - Design method and system of goodness and badness assessment integration model - Google Patents
Design method and system of goodness and badness assessment integration model Download PDFInfo
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Abstract
The invention relates to the technical field of big data, in particular to a design method and a system of a goodness and badness evaluation integration model, wherein the method comprises the steps of gathering and arranging goodness and badness evaluation data models; extracting general facts and consistency analysis dimensions in the good and poor evaluation data model; designing a general fact and a corresponding consistency analysis dimension, and determining a good-bad score analysis index; constructing a poor evaluation integration model through the fact model design and the dimension model design; designing an application process of a poor evaluation integration model; and adjusting the better and worse evaluation integration model according to actual requirements. The good and poor evaluation integration model can quickly meet the requirements of users, and the multiplexing of the model under different scenes is realized, so that the aims of reducing development work, increasing the product agility, accelerating the development progress and reducing the test work are fulfilled.
Description
Technical Field
The invention relates to the technical field of big data, in particular to a design method and a system of a goodness and badness evaluation integration model.
Background
The diversity characteristics of the analysis requirements of the good and bad government affair assessment data at the present stage are obvious, and a set of index system is difficult to integrate to provide analysis services for users with different targets. Therefore, different users, even the same user in different periods, need to develop different data indexes for support, which results in heavy development task, more repeated development content, and huge workload due to requirement change.
In the prior art, there is no good solution for analyzing government affair good and poor appraisal data, generally, demand analysis is performed according to personalized business of a user, customized development of an analysis model is performed for demand analysis, when the demand of the user changes or more data index demands exist, only secondary customized development of the analysis model can be performed, not only is the modeling time cost high, but also the data analysis model does not have reusability and expandability, rapid index migration and elastic expansion cannot be realized when subsequent business demands or processes need to be improved, high efficiency of implementation and high level iteration of products cannot be ensured, and the method is specifically represented by the following aspects:
1. the development speed is slow: the traditional method for analyzing the good and bad assessment data generally performs demand analysis according to the actual business of a user, performs customized development of an analysis model aiming at the demand analysis, and is slow in development speed.
2. The working redundancy is high: aiming at different user requirements, each set of data index system needs to be developed again, data processing work is difficult to reuse, and work redundancy is high.
3. Low agility: when the user needs to change or more data indexes need to be used, only secondary customized development of the analysis model can be performed, data acquisition, processing and development need to be performed again, the modeling time cost is high, and the data analysis model does not have reusability and expandability and is difficult to meet the requirements of agile projects.
4. The test work task is heavy: for each project, the time consumption of the test work and the development work is almost equal, the customized development aiming at different user requirements needs to be tested with the same time consumption, and the task of the test work is heavy.
5. The storage space is big: because data acquisition needs to be carried out again every time of development, data redundancy is caused, and the consumption of storage space is large.
Disclosure of Invention
In order to overcome the defects of the prior art, the invention provides a method and a system for designing a goodness and badness evaluation integration model.
In order to achieve the above purpose, the technical scheme adopted by the invention comprises the following steps:
a method for designing a goodness and badness assessment integration model is characterized by comprising the following steps:
step S1, aggregating and sorting the poor evaluation data models;
step S2, extracting general facts and consistency analysis dimensions in the good and bad assessment data model;
s3, designing general facts and corresponding consistency analysis dimensions, and determining a good-bad score analysis index;
s4, constructing a bad comment integration model through fact model design and dimension model design;
step S5, designing an application process of the poor evaluation integration model;
and step S6, adjusting the better and worse evaluation integration model according to actual requirements.
Further, the step S2 includes extracting common facts and consistency analysis dimensions in the good-bad assessment data model based on the Kimball dimension model theory.
Further, the fact model design includes merging facts from multiple processes represented at the same granularity into a single merged fact table.
Further, the dimension model design comprises selection of business processes, statement granularity, confirmation of dimensions and confirmation of facts.
Further, the dimension model design also comprises field names, types, lengths, null values, default values and Chinese names of design information dimensions.
Further, the step S5 further includes the following sub-steps:
s51, collecting original layer data in the good and bad comment service system;
step S52, cleaning the original layer data and making a standard information table of the standard layer;
step S53, integrating data of the standard information table of the standard layer according to the data standard of the goodness assessment integration model;
and step S54, according to the requirement of the practical business analysis topic, combining the evaluation standard of the goodness and badness evaluation integration model to carry out data acquisition, and generating a data analysis index.
Further, the step S6 further includes the following sub-steps:
step S61, acquiring and arranging new customer requirements;
step S62, analyzing and judging the customer requirements by the goodness and badness assessment integration model;
step S63, when the goodness evaluation integration model can cover the requirements of the customers, the values are taken by combining with the value setting standard of the goodness evaluation integration model to generate a data analysis index; and when the goodness and badness evaluation integration model cannot cover the requirements of the customers, updating the goodness and badness evaluation integration model, and then performing data acquisition by combining the value setting standard of the goodness and badness evaluation integration model to generate a data analysis index.
The invention also relates to a system for designing the goodness and badness assessment integration model, which is characterized by comprising the following steps:
the data collection module is used for gathering and arranging the poor evaluation data models;
the data sorting module is used for extracting general facts and consistency analysis dimensions in the good and poor evaluation data model;
the data design module is used for designing general facts and corresponding consistency analysis dimensions and determining good and bad score analysis indexes;
the model construction module is used for constructing a poor evaluation integration model through the fact model design and the dimension model design;
the application process design module is used for designing the application process of the bad comment integration model;
and the model application module is used for adjusting the better and worse evaluation integration model according to actual requirements.
The invention also relates to a computer-readable storage medium, characterized in that the storage medium has stored thereon a computer program which, when being executed by a processor, carries out the above-mentioned method.
The invention also relates to an electronic device, characterized in that it comprises a processor and a memory;
the memory is used for storing operation instructions;
the processor is used for executing the method by calling the operation instruction.
The invention also relates to a computer program product comprising a computer program and/or instructions, characterized in that the computer program and/or instructions, when executed by a processor, implement the steps of the above-mentioned method.
The invention has the beneficial effects that:
by adopting the goodness and badness evaluation integration model design method and system, the integration model is based on a Kimball dimension model theory, and is combined with the practical experience of the existing goodness and badness evaluation data model, the general facts and the consistency analysis dimensions in the data model are extracted, so that the data models related to goodness and badness evaluation services are all integrated in the model, the integration model can adapt to different user requirements and scenes, various data models can be taken at any time according to the user requirements, when the user has new requirements, the goodness and badness evaluation integration model can quickly meet the user requirements without major adjustment, the reuse of the model under different scenes is realized, and therefore the purposes of reducing development work, increasing product agility, accelerating development progress and reducing test work are realized.
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FIG. 1 is a schematic flow chart of a design method of a goodness and badness assessment integration model of the invention.
FIG. 2 is a schematic structural diagram of a design system of a goodness and badness assessment integration model according to the invention.
Detailed Description
For a clearer understanding of the contents of the present invention, reference will be made to the accompanying drawings and examples.
The invention relates to a design method of a goodness and badness evaluation integration model with a step flow shown in figure 1, which comprises the following steps:
step S1, aggregating and sorting the poor evaluation data models;
step S2, extracting general facts and consistency analysis dimensions in the good and bad assessment data model;
s3, designing general facts and corresponding consistency analysis dimensions, and determining a good-bad score analysis index;
s4, constructing a bad comment integration model through fact model design and dimension model design;
step S5, designing an application process of the poor evaluation integration model;
and step S6, adjusting the better and worse evaluation integration model according to actual requirements.
For example, the embodiment aggregates and arranges the good-poor evaluation data models in the landed projects, including more than 400 good-poor evaluation data models landed on 9 provinces and cities, such as Yunnan, Shandong, Hebei, Shaanxi, and the like.
Optionally, on the basis of a Kimball dimension model theory, more than 400 good-poor evaluation data models are analyzed, and general facts and consistency analysis dimensions in the good-poor evaluation data models are extracted.
Optionally, the general facts and the consistency analysis dimensions extracted from the data model are subjected to summary design, so that 4 facts and 24 analysis dimensions are formed, and good and bad analysis indexes are determined.
Illustratively, the 4 facts include a office service evaluation fact, a bad evaluation rectification fact, a satisfaction revisit fact, and a deferred rectification fact; the analysis dimensionality of the office service evaluation fact comprises an office service dimensionality, an evaluation type dimensionality, an evaluation channel dimensionality, an evaluation time dimensionality, an evaluation division dimensionality, an evaluation department dimensionality, an item dimensionality and a miscellaneous dimensionality; the analysis dimensionality of the poor evaluation rectification fact comprises an evaluation type dimensionality, a rectification completion time dimensionality, a rectification department division dimensionality, a rectification department dimensionality and a miscellaneous item dimensionality; the analysis dimensionality of the satisfaction revisit fact comprises an evaluation type dimensionality, a revisit time dimensionality, a revisit department partition dimensionality, a revisit department dimensionality and a miscellaneous dimensionality; the analysis dimension of the deferred rectification fact comprises an evaluation type dimension, an item dimension, an overdue rectification starting time dimension, a planning rectification finishing time dimension and a miscellaneous dimension.
Optionally, the fact model design includes merging facts from multiple processes represented at the same granularity into a single merged fact table.
Optionally, the dimension model design includes selecting a business process, declaring granularity, confirming dimensions, and confirming facts.
Optionally, the dimension model design further includes a field name, a type, a length, a null value, a default value, and a chinese name of the design information dimension.
Illustratively, the deferred modification information table shown in table 1 below is constructed by taking the deferred modification fact and the relevant analysis dimension as an example.
TABLE 1 postponed correction information table
Optionally, the step S5 further includes the following sub-steps:
s51, collecting original layer data in the good and bad comment service system;
the first data acquisition is full data acquisition, and then incremental data acquisition can be carried out each time;
step S52, cleaning the original layer data and making a standard information table of the standard layer;
step S53, integrating data of the standard information table of the standard layer according to the data standard of the goodness assessment integration model;
step S54, according to the requirement of the practical business analysis special topic, combining the value setting standard of the good and bad comment integration model to take the number, and generating a data analysis index;
the actual business analysis topic requirements comprise analysis topics such as an evaluation overview topic, an evaluation channel, regional evaluation, department evaluation and user evaluation.
Optionally, the step S6 further includes the following sub-steps:
step S61, acquiring and arranging new customer requirements;
step S62, analyzing and judging the customer requirements by the goodness and badness assessment integration model;
step S63, when the goodness evaluation integration model can cover the requirements of the customers, the values are taken by combining with the value setting standard of the goodness evaluation integration model to generate a data analysis index; and when the goodness and badness evaluation integration model cannot cover the requirements of the customers, updating the goodness and badness evaluation integration model, and then performing data acquisition by combining the value setting standard of the goodness and badness evaluation integration model to generate a data analysis index.
By adopting the goodness and badness evaluation integration model design method and system, the integration model is based on a Kimball dimension model theory, and is combined with the practical experience of the existing goodness and badness evaluation data model, the general facts and the consistency analysis dimensions in the data model are extracted, so that the data models related to goodness and badness evaluation services are all integrated in the model, the integration model can adapt to different user requirements and scenes, various data models can be taken at any time according to the user requirements, when the user has new requirements, the goodness and badness evaluation integration model can quickly meet the user requirements without major adjustment, the reuse of the model under different scenes is realized, and therefore the purposes of reducing development work, increasing product agility, accelerating development progress and reducing test work are realized. The method is characterized by comprising the following steps:
the development speed is high. The goodness and badness assessment integration model can cover 95% of business requirements by once construction, various data models can be used at any time according to user requirements, and data analysis indexes are generated rapidly.
The working redundancy is low. The good and poor evaluation integration model has reusability and expandability, a data index system does not need to be re-developed, and the working redundancy is low.
The agility is low. When the user needs to change or more data indexes need to be met, the good and poor evaluation integration model can quickly meet the user needs without major adjustment, the implementation high benefit and the high-level iteration of products can be guaranteed, and the needs of agile projects can be met effectively.
The testing workload is small. For the user requirements which can be covered by the good and poor evaluation integration model, the user requirements which cannot be covered by the good and poor evaluation integration model can be directly obtained from the model to generate data analysis indexes, the user requirements which cannot be covered by the good and poor evaluation integration model do not need to be greatly adjusted, and the development workload is small, so the test workload is small.
The storage space is small. When new business requirements exist, the good and poor evaluation integration model does not need to collect data again, data redundancy is avoided, and the storage space is small.
Another aspect of the present invention also relates to a system for designing a goodness and badness assessment integration model, the structure of which is shown in fig. 2, and the system comprises:
the data collection module is used for gathering and arranging the poor evaluation data models;
the data sorting module is used for extracting general facts and consistency analysis dimensions in the good and poor evaluation data model;
the data design module is used for designing general facts and corresponding consistency analysis dimensions and determining good and bad score analysis indexes;
the model construction module is used for constructing a poor evaluation integration model through the fact model design and the dimension model design;
the application process design module is used for designing the application process of the bad comment integration model;
and the model application module is used for adjusting the better and worse evaluation integration model according to actual requirements.
By using this system, the above-described arithmetic processing method can be executed and a corresponding technical effect can be achieved.
Embodiments of the present invention also provide a computer-readable storage medium capable of implementing all the steps of the method in the above embodiments, the computer-readable storage medium having stored thereon a computer program which, when executed by a processor, implements all the steps of the method in the above embodiments.
Embodiments of the present invention also provide an electronic device for executing the method, as an implementation apparatus of the method, the electronic device at least has a processor and a memory, in particular, the memory stores data required for executing the method and related computer programs, such as the like, and all steps of the implementation method are executed by calling the data and programs in the memory by the processor, and corresponding technical effects are obtained.
Preferably, the electronic device may comprise a bus architecture, which may include any number of interconnected buses and bridges linking together various circuits including one or more processors and memory. The bus may also link various other circuits such as peripherals, voltage regulators, power management circuits, and the like, which are well known in the art, and therefore, will not be described any further herein. A bus interface provides an interface between the bus and the receiver and transmitter. The receiver and transmitter may be the same element, i.e., a transceiver, providing a means for communicating with various other systems over a transmission medium. The processor is responsible for managing the bus and general processing, while the memory may be used for storing data used by the processor in performing operations.
Additionally, the electronic device may further include a communication module, an input unit, an audio processor, a display, a power source, and the like. The processor (or controller, operational controls) employed may include a microprocessor or other processor device and/or logic device that receives input and controls the operation of various components of the electronic device; the memory may be one or more of a buffer, a flash memory, a hard drive, a removable medium, a volatile memory, a non-volatile memory or other suitable devices, and may store the above-mentioned related data information, and may also store a program for executing the related information, and the processor may execute the program stored in the memory to realize information storage or processing, etc.; the input unit is used for providing input to the processor, and can be a key or a touch input device; the power supply is used for supplying power to the electronic equipment; the display is used for displaying display objects such as images and characters, and may be an LCD display, for example. The communication module is a transmitter/receiver that transmits and receives signals via an antenna. The communication module (transmitter/receiver) is coupled to the processor to provide an input signal and receive an output signal, which may be the same as in the case of a conventional mobile communication terminal. Based on different communication technologies, a plurality of communication modules, such as a cellular network module, a bluetooth module, and/or a wireless local area network module, may be disposed in the same electronic device. The communication module (transmitter/receiver) is also coupled to a speaker and a microphone via an audio processor to provide audio output via the speaker and receive audio input from the microphone to implement the usual telecommunication functions. The audio processor may include any suitable buffers, decoders, amplifiers and so forth. In addition, the audio processor is also coupled to the central processor, so that recording on the local machine can be realized through the microphone, and sound stored on the local machine can be played through the loudspeaker.
As will be appreciated by one skilled in the art, embodiments of the present invention may be provided as a method, system, or computer program product. Accordingly, the present invention may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present invention may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The present invention is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the invention. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create a system for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including an instruction system which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks. While preferred embodiments of the present invention have been described, additional variations and modifications in those embodiments may occur to those skilled in the art once they learn of the basic inventive concepts. Therefore, it is intended that the appended claims be interpreted as including preferred embodiments and all such alterations and modifications as fall within the scope of the invention.
The above description is only for the preferred embodiment of the present invention, but the scope of the present invention is not limited thereto, and any changes or substitutions that can be easily conceived by those skilled in the art within the technical scope of the present invention are included in the scope of the present invention. Therefore, the protection scope of the present invention shall be subject to the protection scope of the claims.
Claims (11)
1. A method for designing a goodness and badness assessment integration model is characterized by comprising the following steps:
step S1, aggregating and sorting the poor evaluation data models;
step S2, extracting general facts and consistency analysis dimensions in the good and bad assessment data model;
s3, designing general facts and corresponding consistency analysis dimensions, and determining a good-bad score analysis index;
s4, constructing a bad comment integration model through fact model design and dimension model design;
step S5, designing an application process of the poor evaluation integration model;
and step S6, adjusting the better and worse evaluation integration model according to actual requirements.
2. The method of claim 1, wherein the step S2 includes extracting common facts and consistency analysis dimensions from the good-bad assessment data model based on Kimball dimension model theory.
3. The method of claim 1, wherein the fact model design includes merging facts from multiple processes represented at the same granularity into a single merged fact table.
4. The method of any of claims 1 to 3, wherein the dimensional model design comprises selection of business processes, declaration granularity, validation dimensions, validation facts.
5. The method of claim 4, wherein the dimension model design further comprises a field name, type, length, null, default, Chinese name for the design information dimension.
6. The method of claim 1, wherein the step S5 further comprises the sub-steps of:
s51, collecting original layer data in the good and bad comment service system;
step S52, cleaning the original layer data and making a standard information table of the standard layer;
step S53, integrating data of the standard information table of the standard layer according to the data standard of the goodness assessment integration model;
and step S54, according to the requirement of the practical business analysis topic, combining the evaluation standard of the goodness and badness evaluation integration model to carry out data acquisition, and generating a data analysis index.
7. The method of claim 1, wherein the step S6 further comprises the sub-steps of:
step S61, acquiring and arranging new customer requirements;
step S62, analyzing and judging the customer requirements by the goodness and badness assessment integration model;
step S63, when the goodness evaluation integration model can cover the requirements of the customers, the values are taken by combining with the value setting standard of the goodness evaluation integration model to generate a data analysis index; and when the goodness and badness evaluation integration model cannot cover the requirements of the customers, updating the goodness and badness evaluation integration model, and then performing data acquisition by combining the value setting standard of the goodness and badness evaluation integration model to generate a data analysis index.
8. A goodness and badness assessment integration model design system is characterized by comprising:
the data collection module is used for gathering and arranging the poor evaluation data models;
the data sorting module is used for extracting general facts and consistency analysis dimensions in the good and poor evaluation data model;
the data design module is used for designing general facts and corresponding consistency analysis dimensions and determining good and bad score analysis indexes;
the model construction module is used for constructing a poor evaluation integration model through the fact model design and the dimension model design;
the application process design module is used for designing the application process of the bad comment integration model;
and the model application module is used for adjusting the better and worse evaluation integration model according to actual requirements.
9. A computer-readable storage medium, characterized in that the storage medium has stored thereon a computer program which, when being executed by a processor, carries out the method of any one of claims 1 to 7.
10. An electronic device comprising a processor and a memory;
the memory is used for storing operation instructions;
the processor is used for executing the method of any one of claims 1 to 7 by calling the operation instruction.
11. A computer program product comprising a computer program and/or instructions, characterized in that the computer program and/or instructions, when executed by a processor, implement the steps of the method of any one of claims 1 to 7.
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