CN113094406A - Power marketing data management method and system - Google Patents
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Abstract
The invention discloses a power marketing data management method and a system, wherein the method comprises the following steps: synchronizing a data manifest of a source system; defining metadata based on the synchronized data manifest; configuring a data verification rule based on the defined metadata; formulating an execution task based on the configured data verification rule; according to the method, the data quality report is generated according to the execution result of the executed task, the data quality can be monitored in real time, the existing data problems can be found in time by automatically synchronizing the source data, configuring the check rule and executing the task, and finally, the data quality analysis report is generated to monitor the data in real time, in all dimensions and in the whole process.
Description
Technical Field
The invention relates to the field of power data governance, in particular to a power marketing data governance method and a power marketing data governance system.
Background
The number of the existing users reaches thousands of users, the system adopts various data management measures such as standardization, flow, structuralization and the like, huge data volume is generated, numerous problems such as data missing, missing and logic corresponding relation errors exist, and the optimization of marketing data environment and data quality is also of great importance.
Disclosure of Invention
The technical problem to be solved by the present invention is to provide a method and a system for managing power marketing data, aiming at the above-mentioned defects in the prior art.
The technical scheme adopted by the invention for solving the technical problems is as follows: constructing a power marketing data governance method, the method comprising:
synchronizing a data manifest of a source system;
defining metadata based on the synchronized data manifest;
configuring a data verification rule based on the defined metadata;
formulating an execution task based on the configured data verification rule;
and generating a data quality report according to the execution result of the executed task.
Preferably, the synchronization data list includes: and configuring a data source of the non-relational database through a big data management tool according to the management range of the service data, and leading the non-relational database into a data list from a source system according to the configured data source.
Preferably, said defining metadata based on said synchronized data manifest comprises: defining metadata based on the imported data list, wherein the metadata records feature items of three dimensions of business features, management features and technical features.
Preferably, the data verification rules are classified into the following types of rules: the data consistency verification method comprises a verification rule for verifying the compliance and integrity of data, a rule for verifying the relationship consistency and content consistency of the data, and a rule for verifying the correctness and timeliness of the data.
Preferably, the formulating an execution task based on the configured data verification rule includes: selecting one or more than one data verification rules from a data verification rule base to formulate an execution task, and configuring the execution time, the execution period and the validity period of the execution task, wherein the execution task can perform correlation analysis and calculation statistics on data from different source systems in real time according to the selected data verification rules to find verification problems.
Preferably, the generating a data quality report according to the execution result of the execution task includes: and selecting one or more execution tasks, and summarizing the data analysis result of each data verification rule after the execution tasks are executed to generate a data quality report.
In another aspect of the present invention, a power marketing data management system is further configured, and the system includes:
the source data synchronization module is used for synchronizing a data list of a source system;
a metadata management module for defining metadata based on the synchronized data manifest;
the verification rule configuration module is used for configuring a data verification rule based on the defined metadata;
the execution task configuration module is used for formulating an execution task based on the configured data verification rule;
and the quality report management module is used for generating a data quality report according to the execution result of the execution task.
Preferably, the metadata management module is specifically configured to define metadata based on an imported data list, where the metadata records feature items of three dimensions, namely a business feature, a management feature, and a technical feature.
Preferably, the execution task configuration module is specifically configured to select one or more data verification rules from a data verification rule base to formulate an execution task, and configure an execution time, an execution cycle, and a validity period of the execution task, where the execution task may perform association analysis and calculation statistics on data from different source systems in real time according to the selected data verification rules to find a verification problem.
In yet another aspect, the invention features a power marketing data governance system including a processor and a memory, the memory storing a computer program that, when executed by the processor, implements the steps of the method as previously described.
The electric power marketing data treatment method and the electric power marketing data treatment system have the following beneficial effects: the invention can monitor the data quality in real time, find the existing data problems in time by automatically synchronizing the source data, configuring the check rule and executing the task, finally generate a data quality analysis report and monitor the data in real time, in all dimensions and in the whole process.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to the provided drawings without creative efforts:
FIG. 1 is a flow chart of a power marketing data governance method of the present invention;
FIG. 2 is a schematic diagram of the structure of the electric marketing data governance system of the invention.
Detailed Description
To facilitate an understanding of the invention, the invention will now be described more fully with reference to the accompanying drawings. Exemplary embodiments of the invention are shown in the drawings. This invention may, however, be embodied in many different forms and should not be construed as limited to the embodiments set forth herein. Rather, these embodiments are provided so that this disclosure will be thorough and complete. It should be understood that the embodiments and specific features in the embodiments of the present invention are described in detail in the present application, but not limited to the present application, and the features in the embodiments and specific features in the embodiments of the present invention may be combined with each other without conflict.
Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention belongs. The terminology used in the description of the invention herein is for the purpose of describing particular embodiments only and is not intended to be limiting of the invention.
Referring to fig. 1, the electric power marketing data governance method of the present invention is implemented based on an electric power marketing data governance system, and the method includes:
s101: synchronizing a data manifest of a source system;
the synchronized data is stored in a non-relational database, and specifically, the synchronized data list includes: and configuring a data source of the non-relational database through a big data management tool according to the management range of the service data, and leading the non-relational database into a data list from a source system according to the configured data source to provide basic data support for subsequent metadata definition and data management.
Wherein the data list is actually a plurality of data tables, and data from different source systems are placed in different data tables.
S102: defining metadata based on the synchronized data manifest;
metadata is equivalent to loosely processing the underlying data scattered throughout and creating an abstract virtual datum. Specifically, the defining metadata based on the synchronized data list includes: defining metadata based on the imported data list, wherein the metadata records feature items of three dimensions of business features, management features and technical features. The feature items of the metadata can provide prediction and assistance for the configuration of subsequent data checking rules, such as "whether data is empty, data format, whether encrypted, unit", and the like.
S103: configuring a data verification rule based on the defined metadata;
the data checking rules are divided into the following major classes of rules: the data consistency verification method comprises a verification rule for verifying the compliance and integrity of data, a rule for verifying the relationship consistency and content consistency of the data, and a rule for verifying the correctness and timeliness of the data. The verification of the compliance means that whether the format of the verification data and the like meet the requirements of metadata, such as format verification, length verification and non-null verification, for example, the format verification can be used for verifying the type data such as mobile phone numbers, mailboxes, dates and the like. Checking integrity refers to checking whether the content of data is complete. The checking of the consistency of the relationship refers to checking whether the main foreign key association relationship between the two data tables is consistent. Checking the content consistency means checking whether data representing the same meaning between two data tables are the same. Checking correctness refers to whether the value of the check data is correct. The check timeliness refers to whether the generation time of the check data meets the requirement.
S104: formulating an execution task based on the configured data verification rule;
specifically, the formulating of the execution task based on the configured data verification rule includes: selecting one or more than one data verification rules from a data verification rule base to formulate an execution task, and configuring the execution time, the execution period and the validity period of the execution task, wherein the execution task can perform correlation analysis and calculation statistics on data from different source systems in real time according to the selected data verification rules to find verification problems. The process of task execution can be monitored in real time in the whole process, and failed tasks can be triggered and executed manually.
S105: and generating a data quality report according to the execution result of the executed task.
Specifically, the generating of the data quality report according to the execution result of the execution task includes: and selecting one or more execution tasks, and summarizing the data analysis result of each data verification rule after the execution tasks are executed to generate a data quality report.
Preferably, a data quality analysis report downloading function may also be provided after the data quality report is generated.
Referring to fig. 2, based on the same inventive concept, the present invention also discloses a power marketing data management system, which includes:
and a source data synchronization module 201, configured to synchronize a data list of the source system.
The synchronized data are stored in a non-relational database, specifically, the source data synchronization module 201 configures a data source of the non-relational database through a big data management tool according to the management range of the service data, and the non-relational database imports a data list from a source system according to the configured data source to provide basic data support for subsequent metadata definition and data management. Wherein the data list is actually a plurality of data tables, and data from different source systems are placed in different data tables.
A metadata management module 202 for defining metadata based on the synchronized data manifest. The metadata management module 202 is specifically configured to define metadata based on the imported data list, where the metadata records feature items of three dimensions, namely, a business feature, a management feature, and a technical feature. The feature items of the metadata can provide prediction and assistance for the configuration of subsequent data checking rules, such as "whether data is empty, data format, whether encrypted, unit", and the like.
And a verification rule configuration module 203 for configuring the data verification rule based on the defined metadata. The data checking rules are divided into the following major classes of rules: the data consistency verification method comprises a verification rule for verifying the compliance and integrity of data, a rule for verifying the relationship consistency and content consistency of the data, and a rule for verifying the correctness and timeliness of the data. The verification of the compliance means that whether the format of the verification data and the like meet the requirements of metadata, such as format verification, length verification and non-null verification, for example, the format verification can be used for verifying the type data such as mobile phone numbers, mailboxes, dates and the like. Checking integrity refers to checking whether the content of data is complete. The checking of the consistency of the relationship refers to checking whether the main foreign key association relationship between the two data tables is consistent. Checking the content consistency means checking whether data representing the same meaning between two data tables are the same. Checking correctness refers to whether the value of the check data is correct. The check timeliness refers to whether the generation time of the check data meets the requirement.
And the execution task configuration module 204 is used for formulating an execution task based on the configured data verification rule. Specifically, the execution task configuration module 204 selects one or more data verification rules from the data verification rule base to formulate an execution task, and configures an execution time, an execution period, and a validity period of the execution task, where the execution task may perform correlation analysis and calculation statistics on data from different source systems in real time according to the selected data verification rules to find a verification problem. The process of task execution can be monitored in real time in the whole process, and failed tasks can be triggered and executed manually.
And the quality report management module 205 is used for generating a data quality report according to the execution result of the executed task. Specifically, the quality report management module 205 selects one or more execution tasks, and after the execution tasks are executed, summarizes the result of data analysis by each data verification rule to generate a data quality report. Preferably, the quality report management module 205 may also provide a data quality analysis report download function after generating the data quality report.
The functions of the functional modules of the system according to the embodiment of the present invention may be specifically implemented according to the method in the embodiment of the method, and the specific implementation process may refer to the description related to the embodiment of the method, which is not described herein again.
The above description refers to various modules, the boundaries of which may be fuzzy. For example, any or all of the functional modules herein may share various hardware and/or software elements. Also for example, any and/or all of the functional modules herein may be implemented in whole or in part by a common processor executing software instructions. Additionally, various software sub-modules executed by one or more processors may be shared among the various software modules. Accordingly, the scope of the present invention is not limited by the mandatory boundaries between the various hardware and/or software elements, unless explicitly claimed otherwise.
Based on the same inventive concept, the invention also discloses a power marketing data management system, which is characterized by comprising a processor and a memory, wherein the memory stores a computer program, the steps of the method are realized when the computer program is executed by the processor, and the specific realization process can refer to the description of the embodiment of the method, which is not repeated herein.
The embodiment of the invention has the following beneficial effects:
1) currently, in order to analyze a marketing business problem, such as the execution situation of an electricity price policy, a marketing related business person needs to communicate with a plurality of business departments for negotiation, and meanwhile, a developer of a related business system is required to invest the support of a technician to acquire required data. Then, a large amount of manual screening, calculation and other work is needed to find the problems, form a conclusion and report the conclusion. Based on the invention, the service personnel can easily find the problems in the service in the electric power marketing data management system, which is beneficial to greatly reducing the workload of the service personnel and improving the working efficiency.
2) The method can check and find the incremental data and the existing data at any time, and can gradually realize the integrity, the accuracy, the consistency, the relationship and the timeliness of the marketing data by perfecting and modifying the metadata and the check rule, thereby comprehensively improving the treatment level of the marketing data.
3) And (4) discovering data problems between each marketing service subsystem and the cross-system by establishing the marketing service metadata and the verification rule.
4) The centralized storage and data relation combing of meter reading management, electric quantity and electricity charge, charging and accounting, line loss management, business expansion management, 95598, metering management, electricity utilization inspection and electric energy collection and control all-service system data are achieved, effective management of marketing all-service data is formed, data problems which cannot be found by an original system through self-inspection are found, and early warning and risk prevention are achieved in advance.
While the present invention has been described with reference to the embodiments shown in the drawings, the present invention is not limited to the embodiments, which are illustrative and not restrictive, and it will be apparent to those skilled in the art that various changes and modifications can be made therein without departing from the spirit and scope of the invention as defined in the appended claims.
Claims (10)
1. A power marketing data governance method, characterized by comprising:
synchronizing a data manifest of a source system;
defining metadata based on the synchronized data manifest;
configuring a data verification rule based on the defined metadata;
formulating an execution task based on the configured data verification rule;
and generating a data quality report according to the execution result of the executed task.
2. The electric marketing data governance method of claim 1, wherein the synchronized data inventory comprises: and configuring a data source of the non-relational database through a big data management tool according to the management range of the service data, and leading the non-relational database into a data list from a source system according to the configured data source.
3. The electric marketing data governance method of claim 1, wherein the defining metadata based on the synchronized data manifest comprises: defining metadata based on the imported data list, wherein the metadata records feature items of three dimensions of business features, management features and technical features.
4. The electric marketing data governance method according to claim 1, wherein the data verification rules are classified into the following categories: the data consistency verification method comprises a verification rule for verifying the compliance and integrity of data, a rule for verifying the relationship consistency and content consistency of the data, and a rule for verifying the correctness and timeliness of the data.
5. The electric marketing data governance method of claim 1, wherein said data validation rule based on said configuration enacts execution tasks comprising: selecting one or more than one data verification rules from a data verification rule base to formulate an execution task, and configuring the execution time, the execution period and the validity period of the execution task, wherein the execution task can perform correlation analysis and calculation statistics on data from different source systems in real time according to the selected data verification rules to find verification problems.
6. The electric marketing data governance method according to claim 1, wherein generating a data quality report according to the execution result of the executed task comprises: and selecting one or more execution tasks, and summarizing the data analysis result of each data verification rule after the execution tasks are executed to generate a data quality report.
7. An electric marketing data governance system, the system comprising:
the source data synchronization module is used for synchronizing a data list of a source system;
a metadata management module for defining metadata based on the synchronized data manifest;
the verification rule configuration module is used for configuring a data verification rule based on the defined metadata;
the execution task configuration module is used for formulating an execution task based on the configured data verification rule;
and the quality report management module is used for generating a data quality report according to the execution result of the execution task.
8. The electricity marketing data governance system of claim 7, wherein the metadata management module is specifically configured to define metadata based on an imported data list, wherein the metadata records feature items in three dimensions of business features, management features and technical features.
9. The electric power marketing data governance system of claim 7, wherein the execution task configuration module is specifically configured to select one or more data verification rules from a data verification rule base to formulate an execution task, configure execution time, execution cycle and validity period of the execution task, and perform correlation analysis and calculation statistics on data from different source systems in real time according to the selected data verification rules to find verification problems.
10. An electricity marketing data governance system comprising a processor and a memory, the memory storing a computer program which, when executed by the processor, carries out the steps of the method of any one of claims 1 to 6.
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Application publication date: 20210709 |