CN114185979A - Data processing method and device - Google Patents
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Abstract
The application relates to the technical field of data processing, and discloses a data processing method, which comprises the steps of obtaining source data of an independent accounting body in one or more source databases; processing the source data according to a preset data processing logic; and acquiring the added value of the single accounting body according to the processed data. By taking each individual accounting body as a value-added center, acquiring source data of the individual accounting body in the operation process, and acquiring the value-added value of the individual accounting body through calculation after processing, the traditional profit index calculation is replaced, the situation that the traditional profit sheet can only be accounted afterwards is subverted, the added value of the individual accounting body is dynamically acquired in real time through the grabbing and processing of the source data, the 'calculation before the fact win' is realized, and the situation that the value is increased under the value co-creation business mode can be more effectively reflected. The application also discloses a data processing device.
Description
Technical Field
The present application relates to the field of data processing technologies, and for example, to a data processing method and apparatus.
Background
At present, with the development of science and technology and the change of business models, the importance of data to enterprises is increasingly prominent, and the value creation of financial departments becomes crucial as departments for mastering various data of the enterprises. The balance sheet, the cash flow meter and the profit sheet are classic reduction images of financial management and operation dynamics of enterprises, and are effective tools for showing self competitiveness of investors and partners, but the traditional three reports cannot completely reflect the whole operation of the enterprises along with changes of business models and operation states of the enterprises.
In the process of implementing the embodiments of the present disclosure, it is found that at least the following problems exist in the related art: the traditional profit and loss table summarizes all the numbers as a final conclusion, and only can reflect the income condition of an enterprise, but cannot reflect how multiple dimensions such as enterprises, employees, users and the like share and share values under the internet environment.
Disclosure of Invention
The following presents a simplified summary in order to provide a basic understanding of some aspects of the disclosed embodiments. This summary is not an extensive overview nor is intended to identify key/critical elements or to delineate the scope of such embodiments but rather as a prelude to the more detailed description that is presented later.
The embodiment of the disclosure provides a data processing method and a data processing device, which are used for solving the technical problem of how to obtain the co-creation and sharing growth value of enterprise interest correlators in an internet environment.
In some embodiments, the method comprises: acquiring source data of the individual accounting bodies in one or more source databases; processing the source data according to a preset data processing logic; and acquiring the added value of the single accounting body according to the processed data.
In some embodiments, the apparatus comprises a processor and a memory storing program instructions, the processor being configured to perform the method described above when executing the program instructions.
The data processing method and the data processing device provided by the embodiment of the disclosure can achieve the following technical effects:
by taking each individual accounting body as a value added value center, acquiring source data of the individual accounting body in the operation process, and acquiring the added value of the individual accounting body through calculation after processing, the traditional profit index calculation is replaced, the condition that a traditional profit sheet can only be accounted afterwards is subverted, the added value of the individual accounting body is dynamically acquired in real time through the capture and processing of the source data, the' calculation before the fact is achieved, the condition that the value is increased in a value co-creation business mode can be more effectively reflected, the value co-creation process of interest-related persons in the Internet environment is reflected in the value co-creation sharing ecosphere, the interaction level and the co-creation effect of enterprises, staff and users are promoted, and the effectiveness of creating a value responsibility system of the enterprises is promoted.
The foregoing general description and the following description are exemplary and explanatory only and are not restrictive of the application.
Drawings
One or more embodiments are illustrated by way of example in the accompanying drawings, which correspond to the accompanying drawings and not in limitation thereof, in which elements having the same reference numeral designations are shown as like elements and not in limitation thereof, and wherein:
fig. 1 is a schematic diagram of an implementation environment of a data processing method provided by an embodiment of the present disclosure;
fig. 2 is a schematic flow chart of a data processing method provided by an embodiment of the present disclosure;
FIG. 3 is a schematic flow chart diagram of another data processing method provided by the embodiments of the present disclosure;
fig. 4 is a schematic structural diagram of a data processing apparatus according to an embodiment of the present disclosure;
FIG. 5 is a schematic diagram of another data processing apparatus according to an embodiment of the present disclosure;
fig. 6 is a schematic structural diagram of another data processing apparatus according to an embodiment of the present disclosure.
Detailed Description
So that the manner in which the features and elements of the disclosed embodiments can be understood in detail, a more particular description of the disclosed embodiments, briefly summarized above, may be had by reference to the embodiments, some of which are illustrated in the appended drawings. In the following description of the technology, for purposes of explanation, numerous details are set forth in order to provide a thorough understanding of the disclosed embodiments. However, one or more embodiments may be practiced without these details. In other instances, well-known structures and devices may be shown in simplified form in order to simplify the drawing.
Fig. 1 is a schematic diagram of a system implementation environment of a data processing method according to an embodiment of the present disclosure.
The data processing system comprises a source database 01, a data center station 02, a target database 03 and a temporary database 04. In the data processing process, the source database 01 serves as a data source for providing data, which may include data types such as a service system data source, text file data, other data and the like; the server obtains data from the source database 01 to the data center station 02, performs data processing, such as extraction, loading and other steps, in the data center station 02, and then transfers the final available data to the target database 03; the temporary database 04 may provide the required department temporary data for the in-data station 02 as well as the target database 03.
FIG. 2 illustrates a data processing method, which may be used in the implementation environment shown in FIG. 1.
As shown in fig. 2, the data processing method is performed by a server; the method comprises the following steps:
step S101, a server acquires source data of an individual accounting body in one or more source databases;
step S102, the server processes the source data according to a preset data processing logic;
and step S103, the server acquires the added value of the individual accounting body according to the processed data.
By taking each individual accounting body as a value added value center, acquiring source data of the individual accounting body in the operation process, and obtaining the added value of the individual accounting body through calculation after processing, the traditional profit index calculation is replaced, the condition of increasing the value under the value co-creation business mode can be more effectively reflected, the value co-creation process of interest relatives under the internet environment is reflected in the interaction level and the co-creation effect of enterprises, staff and users under the value co-creation sharing ecosphere, and the effectiveness of creating a value responsibility system of the enterprises is promoted.
The independent accounting body refers to a micro-body which is decomposed based on different operation units in the service, and each micro-body comprises one or more operation units. The method is characterized in that the added value is calculated and obtained on the basis of the single accounting bodies, on one hand, the value added situation of the whole enterprise is formed conveniently on the basis of the accounting and the summarizing of one or more single accounting bodies, and on the other hand, the benefit distribution of the enterprise in the management process is facilitated according to the value added situation of the single accounting bodies.
In some embodiments, step S100 obtains data of the individual accounting bodies in one or more source databases, including: capturing source data according to the definition of the individual accounting bodies in one or more source databases; and converting the source data and loading the source data into a source layer data table.
The operation of obtaining source data is realized by an ELT technique (Extraction-Loading-Transformation, data Extraction, Loading and conversion), the source data is obtained from each source database, the source data is converted and finally loaded and filled into a data table. Through tools such as a data warehouse and a distributed database, after related data in source databases from external systems such as a service source system and a monitoring task source system are captured, conversion processing is performed and the data are loaded to a source pasting layer of the data warehouse, and a source pasting layer data table is established for storing the source data. For example, data is acquired from a data source to a data center station through an ELT technology, and the data center station performs steps of data cleaning, quality control, logic processing and the like to determine the final available data. The logics of data storage and data extraction of each source database are different, so that data processing can be performed through a platform with a data set function. In the embodiment, data processing tasks such as data integration, big data management, data quality, data governance, main data management, data security, cloud data integration and the like are performed through the Informatica.
In some embodiments, obtaining source data for an individual accounting entity in one or more source databases comprises: acquiring source data of the individual accounting bodies in one or more source databases every a preset first time period; and storing the data in a source layer data table according to a preset data multi-dimensional layered storage structure.
And according to preset logic, the source data of the independent accounting body is acquired at regular time, and on the premise that the corresponding data is updated in time, data redundancy is reduced and repeated calculation amount is reduced. The preset data multi-dimensional layered storage structure is a multi-dimensional and multi-layered data model, and various external service data from multiple source data are subjected to caliber unification and sedimentation in the source layer data table. Optionally, the source database includes one or more of an order source database, an after-sale source database, a distribution source database, and an installation source database. In this way, in the capturing and processing process of the source data, a multi-dimensional data structure can be effectively constructed, and the value-added conditions of generation, distribution, installation and after-sale of the order are controlled partially or completely according to the composition condition of the mini-micro business unit serving as an independent accounting body.
In some embodiments, the processing the source data according to the preset data processing logic includes: performing integrity detection on source data according to preset data processing logic; and when the source data has data with the necessary field vacancy, judging that the data is incomplete data, and deleting the data.
And converting the captured source data to meet the purpose of obtaining the added value of the independent accounting body by the target data model. And the incomplete data is removed by carrying out data integrity detection so as to ensure the data quality.
Optionally, processing the source data according to a preset data processing logic includes: performing duplicate removal processing on the source data according to a preset data processing logic; and when repeated data exist in the source data within the same time period, judging that the data is repeated data, and checking and removing redundancy of the data.
Because the source data come from a plurality of source databases, repeated data may exist among different databases, and the repeated data at the same time is subjected to redundancy removal, so that the same data is only retained once. For example, the installation of the air conditioner belongs to both the information of the after-market source database and the information of the installation source database, the information of the same user is recorded in both the after-market source database and the installation source database, the duplicate data is deduplicated according to rules in the source data processing process, and the data of the same user is only retained once at the same time.
Optionally, processing the source data according to a preset data processing logic includes: denoising the source data according to a preset data processing logic; when the data in the source data is detected to exceed the set threshold range, the data is judged to be a noise abnormal value, and the data is deleted or replaced by taking the average value according to the historical numerical value.
By removing the noise data and the abnormal data, the influence of the data with quality problems on the later-period calculation is avoided, and the data processing precision is improved.
In some embodiments, obtaining added value of individual accounting bodies from the processed data includes: acquiring the co-creation income and the prepaid value of the individual accounting bodies according to the processed data; the added value is obtained based on the difference between the co-creation revenue and the prepaid value.
The co-creation income refers to income and benefits brought to the enterprise by the interaction of the independent accounting body and the user in the data, and is a numerical value output by the independent accounting body; the prepaid value is a cost and a fee of internal and external resources consumed for obtaining the co-creation income, and a fee generated in a process of separately accounting internal value transfer or transfer, for example, a fee consumed in a value transfer process in a purchasing, production, or sales process.
The method has the advantages that the traditional profit indexes are replaced, the added value of the independent accounting body is obtained through the difference value between the co-creation income and the pre-payment value, the added value is equal to the income of the co-creation of the participation value, the cost and the expense generated by consuming internal and external resources are reduced, and the input-output relationship of the resources is effectively reflected. The essence of the co-creation income is the sum of internal income and external income, wherein the internal income comprises the part of income formed by traditional sales income, Internet sales income, labor income and the like and the part of income obtained by external investment; the income is the part of business income and investment income obtained by other independent accounting bodies in the enterprise architecture, namely other micro-bodies with business interaction relation; the concept of prepaid value also differs from the traditional concept of fees, not including manual fees. Therefore, the obtained added value is based on the individual and forged body accounting, the added value of the value sharing and sharing is obtained, compared with the traditional profit list, the value sharing process of the individual accounting bodies, namely the mini-microbodies, in the internet environment can be reflected better, the decision service for enterprises can be better reflected and the effectiveness of creating a value responsibility system for the enterprises can be improved by using the information.
FIG. 3 illustrates a data processing method, which may be used in the implementation environment shown in FIG. 1.
As shown in fig. 3, the data processing method is performed by a server; the method comprises the following steps:
step S201, a server acquires source data of an individual accounting body in one or more source databases;
step S202, the server processes the source data according to a preset data processing logic;
step S203, the server acquires the added value of the individual accounting body according to the processed data;
step S204, the server obtains the added value of the enterprise based on the added values of one or more individual accounting bodies.
Wherein steps S201, S202 and S203 are the same as steps S101 to S103 in the above embodiment; in step S204, the added value of the enterprise is formed by accounting the added value of one or more individual accounting bodies, wherein since there is a value transfer process between the related individual accounting bodies, such as internal procurement or other expenses, the offset accounting is also performed according to the hierarchy of the individual accounting bodies in acquiring the added value of the enterprise, so as to prevent the data from being processed repeatedly.
The data processing method provided by the embodiment subverts the situation that the traditional profit list can only be used for post accounting, dynamically acquires the added value of the independent accounting body in real time through capturing and processing the source data, realizes 'pre-accounting win', can efficiently utilize the Internet platform, is reflected in the interaction level and the co-creation effect of enterprises, employees and users under the value co-creation sharing ecosphere, and promotes the effectiveness of creating a value responsibility system of the enterprises.
Fig. 4 shows a data processing apparatus comprising: a first acquisition module 301, a processing module 302 and a second acquisition module 303. Wherein the first obtaining module 301 is configured to obtain source data of the individual accounting bodies in one or more source databases; the processing module 302 is configured to process the source data according to a preset data processing logic; the second acquisition module 303 is configured to acquire the added value of the individual accounting bodies from the processed data.
By taking each individual accounting body as a value added value center, acquiring source data of the individual accounting body in the operation process, and obtaining the added value of the individual accounting body through calculation after processing, the traditional profit index calculation is replaced, the condition of increasing the value under the value co-creation business mode can be more effectively reflected, the value co-creation process of interest relatives under the internet environment is reflected in the interaction level and the co-creation effect of enterprises, staff and users under the value co-creation sharing ecosphere, and the effectiveness of creating a value responsibility system of the enterprises is promoted.
The single accounting body is a mini-body which is decomposed based on different operation units in the service, and each mini-body comprises a plurality of operation units. The method is characterized in that the added value is calculated and obtained on the basis of the single accounting bodies, on one hand, the value added situation of the whole enterprise is formed conveniently on the basis of the accounting and the summarizing of one or more single accounting bodies, and on the other hand, the benefit distribution of the enterprise in the management process is facilitated according to the value added situation of the single accounting bodies.
In some embodiments, the first obtaining module 100 is configured to obtain data of the individual accounting bodies in one or more source databases, and includes: capturing source data according to the definition of the individual accounting bodies in one or more source databases; and converting the source data and loading the source data into a source layer data table.
And the operation of obtaining the source data is an ETL (extract, Transfer and Load) process, the source data is obtained from each source database, the source data is converted and finally loaded and filled into a data table. Through tools such as a data warehouse and a distributed database, after related data in source databases from external systems such as a service source system and a monitoring task source system are captured, conversion processing is performed and the data are loaded to a source pasting layer of the data warehouse, and a source pasting layer data table is established for storing the source data.
In some embodiments, every preset first time period, the first obtaining module 100 obtains source data of the individual accounting body in one or more source databases; and storing the data in a source layer data table according to a preset data multi-dimensional layered storage structure.
And according to preset logic, the source data of the independent accounting body is acquired at regular time, and on the premise that the corresponding data is updated in time, data redundancy is reduced and repeated calculation amount is reduced. The preset data multi-dimensional layered storage structure is a multi-dimensional and multi-layered data model, and various external service data from multiple source data are subjected to caliber unification and sedimentation in the source layer data table. Optionally, the source database includes one or more of an order source database, an after-sale source database, a distribution source database, and an installation source database. In this way, in the capturing and processing process of the source data, a multi-dimensional data structure can be effectively constructed, and the value-added conditions of generation, distribution, installation and after-sale of the order are controlled partially or completely according to the composition condition of the mini-micro business unit serving as an independent accounting body.
In some embodiments, the processing module 302 is configured to perform integrity detection on the source data according to a preset data processing logic; and when the source data has data with the necessary field vacancy, judging that the data is incomplete data, and deleting the data.
And converting the captured source data to meet the purpose of obtaining the added value of the independent accounting body by the target data model. And the incomplete data is removed by carrying out data integrity detection so as to ensure the data quality.
Optionally, the processing module 302 is further configured to perform deduplication processing on the source data according to a preset data processing logic; and when repeated data exist in the source data within the same time period, judging that the data is repeated data, and checking and removing redundancy of the data.
Because the source data come from a plurality of source databases, repeated data may exist among different databases, and the repeated data at the same time is subjected to redundancy removal, so that the same data is only retained once. For example, the installation of the air conditioner belongs to both the information of the after-market source database and the information of the installation source database, the information of the same user is recorded in both the after-market source database and the installation source database, the duplicate data is deduplicated according to rules in the source data processing process, and the data of the same user is only retained once at the same time.
Optionally, the processing module 302 is further configured to perform denoising processing on the source data according to a preset data processing logic; when the data in the source data is detected to exceed the set threshold range, the data is judged to be a noise abnormal value, and the data is deleted or replaced by taking the average value according to the historical numerical value.
By removing the noise data and the abnormal data, the influence of the data with quality problems on the later-period calculation is avoided, and the data processing precision is improved.
In some embodiments, the second obtaining module 303 is configured to obtain the co-creation revenue and the prepaid value of the individual accounting bodies according to the processed data; the added value is obtained based on the difference between the co-creation revenue and the prepaid value.
The co-creation income refers to income and benefits brought to the enterprise by the interaction of the independent accounting body and the user in the data, and is a numerical value output by the independent accounting body; the prepaid value is a cost and a fee of internal and external resources consumed for obtaining the co-creation income, and a fee generated in a process of separately accounting internal value transfer or transfer, for example, a fee consumed in a value transfer process in a purchasing, production, or sales process.
The method has the advantages that the traditional profit indexes are replaced, the added value of the independent accounting body is obtained through the difference value between the co-creation income and the pre-payment value, the added value is equal to the income of the co-creation of the participation value, the cost and the expense generated by consuming internal and external resources are reduced, and the input-output relationship of the resources is effectively reflected. The essence of the co-creation income is the sum of internal income and external income, wherein the internal income comprises the part of income formed by traditional sales income, Internet sales income, labor income and the like and the part of income obtained by external investment; the income is the part of business income and investment income obtained by other independent accounting bodies in the enterprise architecture, namely other micro-bodies with business interaction relation; the concept of prepaid value also differs from the traditional concept of fees, not including manual fees. Therefore, the obtained added value is based on the individual and forged body accounting, the added value of the value sharing and sharing is obtained, compared with the traditional profit list, the value sharing process of the individual accounting bodies, namely the mini-microbodies, in the internet environment can be reflected better, the decision service for enterprises can be better reflected and the effectiveness of creating a value responsibility system for the enterprises can be improved by using the information.
In some embodiments, as shown in fig. 5, the data processing apparatus includes: a first obtaining module 301, a processing module 302, a second obtaining module 303 and a third obtaining module 404. Wherein the first obtaining module 301 is configured to obtain source data of the individual accounting bodies in one or more source databases; the processing module 302 is configured to process the source data according to a preset data processing logic; the second acquisition module 303 is configured to acquire the added value of the individual accounting bodies from the processed data; the third capture module 404 is configured to capture the added value of the business based on the added value of the one or more individual accounting bodies.
The functions of the first obtaining module 301, the processing module 302, and the processing module 303 are the same as those in the above embodiments. The third obtaining module 404 is configured to obtain an enterprise added value by accounting for added values of one or more individual accounting bodies, wherein due to a value transfer process between related individual accounting bodies, such as internal procurement or other expenses, offset accounting is further performed according to the hierarchy of the individual accounting bodies in obtaining the added values of the enterprise, so as to prevent a data duplication processing situation.
The data processing device provided by the embodiment subverts the condition that the traditional profit list can only be used for post accounting, dynamically acquires the added value of the independent accounting body in real time through the capture and processing of the source data, realizes the pre-accounting win, can efficiently utilize the Internet platform, is reflected in the value co-creation sharing ecosphere, realizes the interaction level and the co-creation effect of enterprises, employees and users, and promotes the effectiveness of the enterprise creation value responsibility system.
A data processing apparatus provided in an embodiment of the present disclosure is configured as shown in fig. 6, and includes:
a processor (processor)500 and a memory (memory)501, and may further include a Communication Interface 502 and a bus 503. The processor 500, the communication interface 502, and the memory 501 may communicate with each other via a bus 503. Communication interface 502 may be used for information transfer. The processor 500 may call logic instructions in the memory 501 to perform the data processing method of the above-described embodiment.
In addition, the logic instructions in the memory 501 may be implemented in the form of software functional units and may be stored in a computer readable storage medium when the logic instructions are sold or used as independent products.
The memory 501 is a computer-readable storage medium, and can be used for storing software programs, computer-executable programs, such as program instructions/modules corresponding to the methods in the embodiments of the present disclosure. The processor 500 executes functional applications and data processing by executing program instructions/modules stored in the memory 501, i.e. implements the data processing method in the above-described method embodiments.
The memory 501 may include a storage program area and a storage data area, wherein the storage program area may store an operating system, an application program required for at least one function; the storage data area may store data created according to the use of the terminal device, and the like. Further, the memory 501 may include a high-speed random access memory and may also include a nonvolatile memory.
The embodiment of the disclosure provides a win-win added value table system, which comprises the data processing device.
Optionally, the win-win added value table system adopts an SSM frame set (Spring-Spring mvc-MyBatis, java frame) and is formed by two open source frames of Spring and MyBatis (Spring mvc is part of the content in Spring), and functions of online checking of a report, data export, data comparison, normalized iterative updating and the like are realized through the data processing method. Meanwhile, under the framework, development and deployment are convenient, and the system operation efficiency is high.
Wherein the value-added value of one or more individual accounting bodies and/or the value-added value of the enterprise are displayed at the front end of the win-win value-added table system in the form of a win-win value-added table. The front-end display content of the win-win value-added table is mainly a report form, and the system adopts Bootstrap as a front-end display frame by combining a front-end frame which is relatively common. Bootstrap contains rich Web components, and development and construction of pages can be rapidly realized according to the components, wherein the components comprise the following components: drop down menus, button groups, button drop down menus, navigation bars, path navigation, pagination, typesetting, thumbnails, warning dialogs, progress bars, media objects, and the like.
The embodiment of the disclosure provides a computer, which comprises the data processing device.
The disclosed embodiments provide a computer-readable storage medium storing computer-executable instructions configured to perform the above-mentioned data processing method.
The disclosed embodiments provide a computer program product comprising a computer program stored on a computer readable storage medium, the computer program comprising program instructions which, when executed by a computer, cause the computer to perform the above-mentioned data processing method.
The computer-readable storage medium described above may be a transitory computer-readable storage medium or a non-transitory computer-readable storage medium.
The technical solution of the embodiments of the present disclosure may be embodied in the form of a software product, where the computer software product is stored in a storage medium and includes one or more instructions to enable a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the method of the embodiments of the present disclosure. And the aforementioned storage medium may be a non-transitory storage medium comprising: a U-disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk, and other various media capable of storing program codes, and may also be a transient storage medium.
The above description and drawings sufficiently illustrate embodiments of the disclosure to enable those skilled in the art to practice them. Other embodiments may incorporate structural, logical, electrical, process, and other changes. The examples merely typify possible variations. Individual components and functions are optional unless explicitly required, and the sequence of operations may vary. Portions and features of some embodiments may be included in or substituted for those of others. The scope of the disclosed embodiments includes the full ambit of the claims, as well as all available equivalents of the claims. As used in this application, although the terms "first," "second," etc. may be used in this application to describe various elements, these elements should not be limited by these terms. These terms are only used to distinguish one element from another. For example, a first element could be termed a second element, and, similarly, a second element could be termed a first element, unless the meaning of the description changes, so long as all occurrences of the "first element" are renamed consistently and all occurrences of the "second element" are renamed consistently. The first and second elements are both elements, but may not be the same element. Furthermore, the words used in the specification are words of description only and are not intended to limit the claims. As used in the description of the embodiments and the claims, the singular forms "a", "an" and "the" are intended to include the plural forms as well, unless the context clearly indicates otherwise. Similarly, the term "and/or" as used in this application is meant to encompass any and all possible combinations of one or more of the associated listed. Furthermore, the terms "comprises" and/or "comprising," when used in this application, specify the presence of stated features, integers, steps, operations, elements, and/or components, but do not preclude the presence or addition of one or more other features, integers, steps, operations, elements, components, and/or groups thereof. Without further limitation, an element defined by the phrase "comprising an …" does not exclude the presence of other like elements in a process, method or apparatus that comprises the element. In this document, each embodiment may be described with emphasis on differences from other embodiments, and the same and similar parts between the respective embodiments may be referred to each other. For methods, products, etc. of the embodiment disclosures, reference may be made to the description of the method section for relevance if it corresponds to the method section of the embodiment disclosure.
Those of skill in the art would appreciate that the various illustrative elements and algorithm steps described in connection with the embodiments disclosed herein may be implemented as electronic hardware or combinations of computer software and electronic hardware. Whether such functionality is implemented as hardware or software may depend upon the particular application and design constraints imposed on the solution. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the disclosed embodiments. It can be clearly understood by the skilled person that, for convenience and brevity of description, the specific working processes of the system, the apparatus and the unit described above may refer to the corresponding processes in the foregoing method embodiments, and are not described herein again.
In the embodiments disclosed herein, the disclosed methods, products (including but not limited to devices, apparatuses, etc.) may be implemented in other ways. For example, the above-described apparatus embodiments are merely illustrative, and for example, the division of the units may be merely a logical division, and in actual implementation, there may be another division, for example, multiple units or components may be combined or integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection through some interfaces, devices or units, and may be in an electrical, mechanical or other form. The units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units can be selected according to actual needs to implement the present embodiment. In addition, functional units in the embodiments of the present disclosure may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit.
The flowchart and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of systems, methods and computer program products according to embodiments of the present disclosure. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of code, which comprises one or more executable instructions for implementing the specified logical function(s). In some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. In the description corresponding to the flowcharts and block diagrams in the figures, operations or steps corresponding to different blocks may also occur in different orders than disclosed in the description, and sometimes there is no specific order between the different operations or steps. For example, two sequential operations or steps may in fact be executed substantially concurrently, or they may sometimes be executed in the reverse order, depending upon the functionality involved. Each block of the block diagrams and/or flowchart illustrations, and combinations of blocks in the block diagrams and/or flowchart illustrations, can be implemented by special purpose hardware-based systems that perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.
Claims (10)
1. A data processing method, comprising:
acquiring source data of the individual accounting bodies in one or more source databases;
processing the source data according to a preset data processing logic;
and acquiring the added value of the single accounting body according to the processed data.
2. The method of claim 1, wherein obtaining data of the individual accounting bodies in one or more source databases comprises:
capturing source data according to the definition of the single accounting body in one or more source databases;
and converting the source data and loading the source data into a source layer data table.
3. The method of claim 1, wherein obtaining source data of the individual accounting bodies in one or more source databases comprises:
acquiring source data of the individual accounting bodies in one or more source databases every a preset first time period;
and storing the data in a source layer data table according to a preset data multi-dimensional layered storage structure.
4. The method of any of claims 1 to 3, wherein the source database comprises one or more of an order source database, an after-market source database, a distribution source database, and an installation source database.
5. The method according to claim 1, wherein the processing the source data according to the preset data processing logic comprises:
carrying out integrity detection on the source data according to a preset data processing logic;
and when the source data has data with a necessary field vacancy, judging that the data is incomplete data, and deleting the data.
6. The method according to claim 1, wherein the processing the source data according to the preset data processing logic comprises:
performing duplicate removal processing on the source data according to a preset data processing logic;
and when repeated data exist in the source data within the same time period, judging that the data are repeated data, and checking and removing redundancy of the data.
7. The method according to claim 1, wherein the processing the source data according to the preset data processing logic comprises:
denoising the source data according to a preset data processing logic;
when the source data is detected to have data exceeding a set threshold range, the data is judged to be a noise abnormal value, and the data is deleted or replaced by taking an average value according to historical numerical values.
8. The method of claim 1, wherein obtaining the added value of the individual accounting bodies from the processed data comprises:
acquiring the co-creation income and the prepaid value of the individual accounting bodies according to the processed data;
and acquiring the added value according to the difference value of the co-creation income and the prepaid value.
9. The method of claim 1, further comprising:
the incremental value of the enterprise is obtained based on the incremental values of the one or more individual accounting bodies.
10. A data processing apparatus comprising a processor and a memory storing program instructions, wherein the processor is configured to perform the method of any one of claims 1 to 9 when executing the program instructions.
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