CN114612127A - Big data-based ERP (Enterprise resource planning) information system construction method - Google Patents
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Abstract
The invention discloses a big data-based ERP informatization system construction method, which comprises the following steps: education and training are carried out on users in enterprises before the ERP system is imported for use, so that the users can know and master the use method of the system; the method comprises the steps of evaluating the initial state of an enterprise, including financial conditions, composition departments, production and sales holding capacity and the like of the enterprise, inputting information into a receiving and storing system for storing so as to facilitate comparison and analysis between subsequent information and corresponding information; and collecting corresponding order information of the enterprise, if the pre-sale related information exists. According to the ERP information system construction method based on the big data, the big data information collection module is matched with the information matching screening to collect and output relevant information changes and the like on the market, and the influence of the market changes on the enterprise is judged through the comparison between the external market information changes and the self order operation condition of the enterprise, so that the enterprise management can be better adjusted, and the enterprise management can be matched with the market.
Description
Technical Field
The invention relates to the technical field of ERP systems, in particular to a big data-based ERP informatization system construction method.
Background
ERP refers to enterprise resource planning, most of ERP systems introduced in the general market are enterprise management systems, and the ERP system is a novel enterprise management mode, is mainly oriented to the manufacturing industry, and is used for integrated management of material resources, capital resources and information resources, and is an enterprise information management system, wherein the ERP system can coordinate management departments of the enterprise to guide around the market, respond to market demands in real time, redefine the business relationship among suppliers, distributors and manufacturers, and reconstruct the business, information flow and organizational structure of the enterprise, so that the enterprise has greater activity in market competition, but the existing ERP system construction method has some defects:
the existing ERP system is generally used for directly importing enterprise information into the ERP system during construction, the operation of an enterprise is controlled through the ERP system, the ERP system does not have the capability of analyzing the operation condition of the enterprise, and only can assist enterprise users to record and adjust the information of the enterprise, the system cannot collect and analyze external big data, so that the informatization degree in the ERP system is low, and the external information change cannot be timely received, so that certain feedback and information prompt functions for the users are lacked, the subsequent data collection workload of the users is increased, and the functionality of subsequent systems is reduced.
Aiming at the problems, innovative design is urgently needed on the basis of the original ERP system.
Disclosure of Invention
The invention aims to provide a big data-based ERP information system construction method, which aims to solve the problems that the existing ERP system provided by the background technology generally directly guides enterprise information into the ERP system during construction, the operation of an enterprise is controlled by the ERP system, the ERP system does not have the capability of analyzing the operation condition of the enterprise, and only can assist enterprise users to record and adjust the information of the enterprise, and the system cannot collect and analyze external big data, so that the informatization degree in the ERP system is low, and the external information change cannot be timely received, so that certain functions of feedback and information prompt to the users are lacked, the workload of subsequent data collection of the users is increased, and the functionality of the subsequent system is reduced.
In order to achieve the purpose, the invention provides the following technical scheme: a big data-based ERP informatization system construction method comprises the following steps:
(1) education and training are carried out on users in enterprises before the ERP system is imported for use, so that the users can know and master the use method of the system;
(2) the method comprises the steps of evaluating the initial state of an enterprise, including financial conditions, composition departments, production and sales holding capacity and the like of the enterprise, inputting information into a receiving and storing system for storing so as to facilitate comparison and analysis between subsequent information and corresponding information;
(3) collecting corresponding order information of an enterprise, and simultaneously collecting the relevant information if the relevant information is pre-sold, and counting the existing business volume of the enterprise;
(4) establishing a big data information collection module, uniformly collecting external market information, sending the big data information to a rear end through an information interaction platform for information matching and screening, screening out market data changes related to enterprises, outputting the data to form a corresponding table, and analyzing and processing the market changes through an artificial intelligence analysis system;
(5) outputting and sending the data information in the step (4) and the step (3) to a receiving and storing system, storing and backing up the data information, outputting the data to a comparison system with an analysis function, and comparing the enterprise business variation with the correlation of the big data information and the influence of market variation in the big data on the enterprise business volume;
(6) the data analysis result in the step (5) is imported into the ERP software management system, so that enterprise operators in the ERP software management system can timely know the external big data information change in the using process of the system, the corresponding production and operation modes of the enterprise are adjusted, a proper supplier suitable for the subsequent operation of the enterprise can be selected through the data result and the subsequent information prediction, the production and operation requirements of the enterprise in different markets are met, and the ERP software management system is informationized;
(7) the ERP software management system is matched with daily maintenance of the system in the using process, the software is repaired and updated in time when bugs are found, the running stability of the software is ensured, and meanwhile, the system training and teaching can be regularly carried out on users in enterprises, so that users can know system updating changes and all functions in the system in time, and the functions of the system can be fully exerted in the follow-up process.
Further optimizing the technical scheme, the evaluation method of the enterprise initial state in the step (2) is an enterprise value evaluation method, and the value of the enterprise is evaluated and calculated.
The technical scheme is further optimized, the enterprise value evaluation method adopts a cost method, and the value of an evaluation object is determined by reasonably evaluating the value and the liability of each item of the enterprise on the basis of the target enterprise asset liability statement.
The technical scheme is further optimized, the enterprise value evaluation method adopts a profit method, the expected profit of the evaluated enterprise is discounted to a certain specific date to determine the evaluation target enterprise value, the profit method focuses on the profit potential of the enterprise, the time value of future income is considered, and the enterprise value evaluation method can be used for evaluation of long-term development enterprises.
The technical scheme is further optimized, the enterprise value evaluation method is a comparison method, the evaluation object and a reference enterprise or an enterprise with a trading case on the market are compared to determine the target enterprise value, and the comparison data are financial data, income, profit and market profitability.
Further optimizing the technical scheme, the big data information collecting module in the step (4) comprises a data module and an information screening module;
the data module is used for collecting, analyzing and managing data streams generated by the network, managing data exchange among different nodes and receiving and processing big data information;
and the information screening module cuts down and outputs corresponding information data through the comparison of the keywords.
Further optimizing the technical scheme, the ERP software management system comprises a basic data module, a system setting module, a report module, a personnel management module, a financial management module, a purchasing management module, a logistics management module, an order processing module and a commodity center module, and management and operation of enterprises are managed through control over the modules.
Compared with the prior art, the invention has the beneficial effects that: this ERP information-based system construction method based on big data matches the screening through big data information collection module cooperation information and collects the output with relevant information change on the market etc., judge the influence of market change to the enterprise through the contrast of outside market information change and enterprise self order operation situation, thereby can be better adjust the business administration, make it match with the market, make this system can not only provide the administrative operation of enterprise when using, still can provide the analysis contrast of market data, the person of facilitating the use makes the adjustment sooner, thereby reduce the acquisition time of follow-up user's data, increase the functional and information-based degree of this system, make its operation of adaptation enterprise that can be better.
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FIG. 1 is a schematic flow chart of the construction method of the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Referring to fig. 1, the present invention provides a technical solution: a big data-based ERP informatization system construction method comprises the following steps:
(1) the ERP system is educated and trained before the ERP system is introduced into the enterprise, so that the users can know and master the use method of the system.
(2) The method comprises the steps of evaluating the initial state of an enterprise, including financial conditions, composition departments, production and sales holding capacity and the like of the enterprise, inputting information into a receiving and storing system for storing so as to facilitate comparison and analysis between subsequent information and corresponding information;
and (3) evaluating the initial state of the enterprise in the step (2) by using an enterprise value evaluation method, and evaluating and calculating the value of the enterprise.
(3) And collecting corresponding order information of the enterprise, and if the pre-sale related information exists, simultaneously collecting the pre-sale related information and counting the existing business volume of the enterprise.
(4) Establishing a big data information collection module, uniformly collecting external market information, sending the big data information to a rear end through an information interaction platform for information matching and screening, screening out market data changes related to enterprises, outputting the data to form a corresponding table, and analyzing and processing the market changes through an artificial intelligence analysis system;
the big data information collection module in the step (4) comprises a data module and an information screening module;
the data module is used for collecting, analyzing and managing data streams generated by the network, managing data exchange among different nodes and receiving and processing big data information;
and the information screening module cuts down and outputs corresponding information data through the comparison of the keywords.
(5) And (4) outputting the data information in the step (4) and the step (3) to a receiving and storing system, storing and backing up the data information, outputting the data to a comparison system with an analysis function, and comparing the enterprise business variation with the correlation of the big data information and the influence of market variation in the big data on the enterprise business volume.
(6) The data analysis result in the step (5) is imported into the ERP software management system, so that enterprise operators in the ERP software management system can timely know the external big data information change in the using process of the system, the corresponding production and operation modes of the enterprise are adjusted, a proper supplier suitable for the subsequent operation of the enterprise can be selected through the data result and the subsequent information prediction, the production and operation requirements of the enterprise in different markets are met, and the ERP software management system is informationized;
the ERP software management system comprises a basic data module, a system setting module, a report module, a personnel management module, a financial management module, a purchasing management module, a logistics management module, an order processing module and a commodity center module, and manages the operation and the management of enterprises through the control of each module.
(7) The ERP software management system is matched with daily maintenance of the system in the using process, the software is repaired and updated in time when bugs are found, the running stability of the software is ensured, and meanwhile, the system training and teaching can be regularly carried out on users in enterprises, so that users can know system updating changes and all functions in the system in time, and the functions of the system can be fully exerted in the follow-up process.
Example 1 of the Enterprise value evaluation method:
(1) the ERP system is educated and trained before the ERP system is introduced into the enterprise, so that the users can know and master the use method of the system.
(2) The method comprises the steps of evaluating the initial state of an enterprise, including financial conditions, composition departments, production and sales holding capacity and the like of the enterprise, inputting information into a receiving and storing system for storing so as to facilitate comparison and analysis between subsequent information and corresponding information;
and (3) the evaluation method of the initial state of the enterprise in the step (2) is an enterprise value evaluation method, and the value of the enterprise is evaluated and calculated.
(3) And collecting corresponding order information of the enterprise, and simultaneously collecting the relevant pre-sale information if the relevant pre-sale information exists, and counting the existing business volume of the enterprise.
(4) Establishing a big data information collection module, uniformly collecting external market information, sending the big data information to a rear end through an information interaction platform for information matching and screening, screening out market data changes related to enterprises, outputting the data to form a corresponding table, and analyzing and processing the market changes through an artificial intelligence analysis system;
the big data information collection module in the step (4) comprises a data module and an information screening module;
the data module is used for collecting, analyzing and managing data streams generated by the network, managing data exchange among different nodes and receiving and processing big data information;
and the information screening module cuts down and outputs corresponding information data through the comparison of the keywords.
(5) And (4) outputting the data information in the step (4) and the step (3) to a receiving and storing system, storing and backing up the data information, outputting the data to a comparison system with an analysis function, and comparing the enterprise business variation with the correlation of the big data information and the influence of market variation in the big data on the enterprise business volume.
(6) The data analysis result in the step (5) is imported into the ERP software management system, so that enterprise operators in the ERP software management system can timely know the external big data information change in the using process of the system, the corresponding production and operation modes of the enterprise are adjusted, a proper supplier suitable for the subsequent operation of the enterprise can be selected through the data result and the subsequent information prediction, the production and operation requirements of the enterprise in different markets are met, and the ERP software management system is informationized;
the ERP software management system comprises a basic data module, a system setting module, a report module, a personnel management module, a financial management module, a purchasing management module, a logistics management module, an order processing module and a commodity center module, and manages the operation and the management of enterprises through the control of each module.
The ERP software management system is matched with daily maintenance of the system in the using process, the software is repaired and updated in time when bugs are found, the running stability of the software is ensured, and meanwhile, the system training and teaching can be regularly carried out on users in enterprises, so that users can know system updating changes and all functions in the system in time, and the functions of the system can be fully exerted in the follow-up process.
The enterprise value evaluation method adopts a cost method, and determines the value of an evaluation object by reasonably evaluating the value and the liability of each item of the enterprise on the basis of a target enterprise asset liability statement;
can be used in the securities market of enterprises.
Example 2 of the Enterprise value assessment method:
(1) the ERP system is educated and trained before the ERP system is introduced into the enterprise, so that the users can know and master the use method of the system.
(2) The method comprises the steps of evaluating the initial state of an enterprise, including financial conditions, composition departments, production and sales holding capacity and the like of the enterprise, inputting information into a receiving and storing system for storing so as to facilitate comparison and analysis between subsequent information and corresponding information;
and (3) the evaluation method of the initial state of the enterprise in the step (2) is an enterprise value evaluation method, and the value of the enterprise is evaluated and calculated.
(3) And collecting corresponding order information of the enterprise, and simultaneously collecting the relevant pre-sale information if the relevant pre-sale information exists, and counting the existing business volume of the enterprise.
(4) Establishing a big data information collection module, uniformly collecting external market information, sending the big data information to a rear end through an information interaction platform for information matching and screening, screening out market data changes related to enterprises, outputting the data to form a corresponding table, and analyzing and processing the market changes through an artificial intelligence analysis system;
the big data information collection module in the step (4) comprises a data module and an information screening module;
the data module is used for collecting, analyzing and managing data streams generated by the network, managing data exchange among different nodes and receiving and processing big data information;
and the information screening module cuts down and outputs corresponding information data through the comparison of the keywords.
(5) And (4) outputting the data information in the step (4) and the step (3) to a receiving and storing system, storing and backing up the data information, outputting the data to a comparison system with an analysis function, and comparing the enterprise business variation with the correlation of the big data information and the influence of market variation in the big data on the enterprise business volume.
(6) The data analysis result in the step (5) is imported into the ERP software management system, so that enterprise operators in the ERP software management system can timely know the external big data information change in the using process of the system, the corresponding production and operation modes of the enterprise are adjusted, a proper supplier suitable for the subsequent operation of the enterprise can be selected through the data result and the subsequent information prediction, the production and operation requirements of the enterprise in different markets are met, and the ERP software management system is informationized;
the ERP software management system comprises a basic data module, a system setting module, a report module, a personnel management module, a financial management module, a purchasing management module, a logistics management module, an order processing module and a commodity center module, and manages the operation and the management of enterprises through the control of each module.
The ERP software management system is matched with daily maintenance of the system in the using process, the software is repaired and updated in time when bugs are found, the running stability of the software is ensured, and meanwhile, the system training and teaching can be regularly carried out on users in enterprises in use, so that users can know system updating changes and all functions in the system in time, and the functions of the system can be fully exerted in the follow-up process
The enterprise value evaluation method adopts a profit method, the value of an evaluation target enterprise is determined by converting expected profits of the evaluated enterprise to a certain specific date, the profit method focuses on the profit potential of the enterprise, and the time value of future income is considered, so that the enterprise value evaluation method can be used for evaluating the long-term development enterprise;
the adaptive enterprise can develop for a long time, the production break can not occur in a short time, and the operation is relatively stable.
Example 3 of the Enterprise value evaluation method:
the enterprise value evaluation method is a comparison method, the evaluation object and a reference enterprise or an enterprise with a transaction case on the market are compared to determine the target enterprise value, and the comparison data are financial data, income, profit and market profitability;
can be adapted to enterprises in the market where similar assets exist.
The evaluation method most suitable for the enterprise can be selected according to the actual conditions of the enterprise, so that a relatively accurate enterprise value evaluation result is obtained, and basic support is provided for the construction of a subsequent system.
Those not described in detail in this specification are well within the skill of the art.
In the description of the present invention, "a plurality" means two or more unless otherwise specified; the terms "upper", "lower", "left", "right", "inner", "outer", "front", "rear", "head", "tail", and the like, indicate orientations or positional relationships based on the orientations or positional relationships shown in the drawings, are only for convenience in describing and simplifying the description, and do not indicate or imply that the device or element referred to must have a particular orientation, be constructed in a particular orientation, and be operated, and thus, should not be construed as limiting the invention. Furthermore, the terms "first," "second," "third," and the like are used for descriptive purposes only and are not to be construed as indicating or implying relative importance.
In the description of the present invention, it is to be noted that, unless otherwise explicitly specified or limited, the terms "connected" and "connected" are to be interpreted broadly, e.g., as being fixed or detachable or integrally connected; can be mechanically or electrically connected; may be directly connected or indirectly connected through an intermediate. The specific meanings of the above terms in the present invention can be understood in specific cases to those skilled in the art.
Although the present invention has been described in detail with reference to the foregoing embodiments, it will be apparent to those skilled in the art that various changes in the embodiments and/or modifications of the invention can be made, and equivalents and modifications of some features of the invention can be made without departing from the spirit and scope of the invention.
Claims (10)
1. A big data-based ERP informatization system construction method is characterized by comprising the following steps:
(1) education and training are carried out on users in enterprises before the ERP system is imported for use, so that the users can know and master the use method of the system;
(2) the method comprises the steps of evaluating the initial state of an enterprise, including financial conditions, composition departments, production and sales holding capacity and the like of the enterprise, inputting information into a receiving and storing system for storing so as to facilitate comparison and analysis between subsequent information and corresponding information;
(3) collecting corresponding order information of an enterprise, and simultaneously collecting the relevant information if the relevant information is pre-sold, and counting the existing business volume of the enterprise;
(4) establishing a big data information collection module, uniformly collecting external market information, sending the big data information to a rear end through an information interaction platform for information matching and screening, screening out market data changes related to enterprises, outputting the data to form a corresponding table, and analyzing and processing the market changes through an artificial intelligence analysis system;
(5) outputting and sending the data information in the step (4) and the step (3) to a receiving and storing system, storing and backing up the data information, outputting the data to a comparison system with an analysis function, and comparing the enterprise business variation with the correlation degree of the big data information and the influence of market variation in the big data on the enterprise business volume;
(6) the data analysis result in the step (5) is imported into the ERP software management system, so that enterprise operators in the ERP software management system can timely know the external big data information change in the using process of the system, the corresponding production and operation modes of the enterprise are adjusted, a proper supplier suitable for the subsequent operation of the enterprise can be selected through the data result and the subsequent information prediction, the production and operation requirements of the enterprise in different markets are met, and the ERP software management system is informationized;
(7) the ERP software management system is matched with daily maintenance of the system in the using process, the software is repaired and updated in time when bugs are found, the running stability of the software is ensured, and meanwhile, the system training and teaching can be regularly carried out on users in enterprises, so that users can know system updating changes and all functions in the system in time, and the functions of the system can be fully exerted in the follow-up process.
2. The big-data-based ERP information system construction method according to claim 1, wherein: and (3) the evaluation method of the initial state of the enterprise in the step (2) is an enterprise value evaluation method, and the value of the enterprise is evaluated and calculated.
3. The big-data-based ERP information system construction method according to claim 2, wherein: the enterprise value evaluation method adopts a cost method, and determines the value of an evaluation object by reasonably evaluating the value and the liability of each item of the enterprise on the basis of the target enterprise asset liability statement.
4. The big-data-based ERP information system construction method according to claim 2, wherein: the enterprise value evaluation method adopts a profit method, the value of an evaluation target enterprise is determined by converting expected profits of the evaluated enterprise to a specific date, the profit method focuses on the profit potential of the enterprise, and the time value of future income is considered, so that the enterprise value evaluation method can be used for evaluating the long-term development enterprise.
5. The ERP informatization system construction method based on big data according to claim 2, characterized in that: the enterprise value evaluation method is a comparison method, the evaluation object and a reference enterprise or an enterprise with a transaction case on the market are compared to determine the target enterprise value, and the comparison data are financial data, income, profit and market profitability.
6. The big-data-based ERP information system construction method according to claim 1, wherein: the big data information collection module in the step (4) comprises a data module and an information screening module.
7. The big-data-based ERP information system construction method according to claim 6, wherein: the data module is used for collecting, analyzing and managing data streams generated by the network, managing data exchange among different nodes and receiving and processing big data information.
8. The big-data-based ERP information system construction method according to claim 6, wherein: and the information screening module cuts down and outputs corresponding information data through the comparison of the keywords.
9. The big-data-based ERP information system construction method according to claim 1, wherein: the ERP software management system comprises a basic data module, a system setting module, an order processing module and a commodity center module.
10. The big-data-based ERP information system construction method according to claim 9, wherein: the ERP software management system also comprises a report module, a personnel management module, a financial management module, a purchasing management module and a logistics management module, and the management and operation of enterprises are managed through the control of each module.
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| Application Number | Priority Date | Filing Date | Title |
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| CN202210111928.1A CN114612127A (en) | 2022-01-27 | 2022-01-27 | Big data-based ERP (Enterprise resource planning) information system construction method |
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| CN202210111928.1A CN114612127A (en) | 2022-01-27 | 2022-01-27 | Big data-based ERP (Enterprise resource planning) information system construction method |
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| CN116029522A (en) * | 2023-02-07 | 2023-04-28 | 南京领专信息科技有限公司 | E-business ERP information optimization system |
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