CN116739247A - Enterprise data analysis decision method, system, electronic equipment and storage medium - Google Patents

Enterprise data analysis decision method, system, electronic equipment and storage medium Download PDF

Info

Publication number
CN116739247A
CN116739247A CN202310626905.9A CN202310626905A CN116739247A CN 116739247 A CN116739247 A CN 116739247A CN 202310626905 A CN202310626905 A CN 202310626905A CN 116739247 A CN116739247 A CN 116739247A
Authority
CN
China
Prior art keywords
project
information
decided
item
data
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Pending
Application number
CN202310626905.9A
Other languages
Chinese (zh)
Inventor
杨剑斌
李伟
吕可当
高兴旺
张早军
郭涛
杨云峰
马旭光
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Shanxi Zhiheng Huarui Technology Co ltd
Original Assignee
Shanxi Zhiheng Huarui Technology Co ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Shanxi Zhiheng Huarui Technology Co ltd filed Critical Shanxi Zhiheng Huarui Technology Co ltd
Priority to CN202310626905.9A priority Critical patent/CN116739247A/en
Publication of CN116739247A publication Critical patent/CN116739247A/en
Pending legal-status Critical Current

Links

Classifications

    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00—Administration; Management
    • G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
    • G06Q10/063—Operations research, analysis or management
    • G06Q10/0631—Resource planning, allocation, distributing or scheduling for enterprises or organisations
    • G06Q10/06311—Scheduling, planning or task assignment for a person or group
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/90—Details of database functions independent of the retrieved data types
    • G06F16/95—Retrieval from the web
    • G06F16/953—Querying, e.g. by the use of web search engines
    • G06F16/9537—Spatial or temporal dependent retrieval, e.g. spatiotemporal queries
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00—Administration; Management
    • G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
    • G06Q10/063—Operations research, analysis or management
    • G06Q10/0631—Resource planning, allocation, distributing or scheduling for enterprises or organisations
    • G06Q10/06311—Scheduling, planning or task assignment for a person or group
    • G06Q10/063116—Schedule adjustment for a person or group
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00—Administration; Management
    • G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
    • G06Q10/063—Operations research, analysis or management
    • G06Q10/0631—Resource planning, allocation, distributing or scheduling for enterprises or organisations
    • G06Q10/06314—Calendaring for a resource
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00—Administration; Management
    • G06Q10/10—Office automation; Time management
    • G06Q10/103—Workflow collaboration or project management
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q30/00—Commerce
    • G06Q30/06—Buying, selling or leasing transactions
    • G06Q30/08—Auctions

Landscapes

  • Business, Economics & Management (AREA)
  • Human Resources & Organizations (AREA)
  • Engineering & Computer Science (AREA)
  • Strategic Management (AREA)
  • Entrepreneurship & Innovation (AREA)
  • Economics (AREA)
  • Theoretical Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • General Business, Economics & Management (AREA)
  • Marketing (AREA)
  • Operations Research (AREA)
  • Tourism & Hospitality (AREA)
  • Quality & Reliability (AREA)
  • Development Economics (AREA)
  • Game Theory and Decision Science (AREA)
  • Educational Administration (AREA)
  • Databases & Information Systems (AREA)
  • Data Mining & Analysis (AREA)
  • Accounting & Taxation (AREA)
  • Finance (AREA)
  • General Engineering & Computer Science (AREA)
  • Management, Administration, Business Operations System, And Electronic Commerce (AREA)

Abstract

The application relates to an enterprise data analysis decision method, an enterprise data analysis decision system, electronic equipment and a storage medium, which belong to the technical field of data analysis, and the enterprise data analysis decision method comprises the following steps: acquiring business information to be decided; determining a service type of the service information to be decided based on the service information to be decided, wherein the service type comprises the steps of distributing responsible persons for the project to be processed and determining bidding projects; inquiring whether data matched with the service type exists in a local enterprise database; if yes, extracting data matched with the service type, and taking the extracted data as analysis data; analyzing the business information to be decided based on the analysis data, and determining decision information of the business information to be decided; and sending the decision information to a mobile terminal corresponding to the enterprise decision maker. The application has the effect of improving the processing efficiency of the business to be decided.

Description

Enterprise data analysis decision method, system, electronic equipment and storage medium
Technical Field
The present application relates to the field of data analysis technologies, and in particular, to an enterprise data analysis decision method, system, electronic device, and storage medium.
Background
With the continuous development of the internet, data is growing at an explosive speed, how to mine value from the data and help enterprise operators to assist decision making becomes a key problem of enterprise digital transformation.
Currently, when an enterprise decision maker needs to make a decision on a certain service, it is generally required to provide information required by the service to be decided through a professional analysis department of the enterprise, where the required information includes a data table or a chart, and the enterprise decision maker analyzes the data table or the chart, so as to determine the decision on the service to be decided, for example, whether the service to be decided includes a responsible person allocated to a project and whether to bid on the certain project.
When the decision is made on the business to be decided by adopting the mode, the professional department is required to wait for providing information, and a decision maker is required to read and analyze the data table or the chart, so that the decision is determined, the decision time is greatly increased, and the processing efficiency of the business to be decided is reduced.
Disclosure of Invention
In order to improve the processing efficiency of a business to be decided, the application provides an enterprise data analysis decision method, an enterprise data analysis decision system, electronic equipment and a storage medium.
In a first aspect, the present application provides an enterprise data analysis decision method, which adopts the following technical scheme:
An enterprise data analysis decision method, comprising:
acquiring business information to be decided;
determining a service type of the service information to be decided based on the service information to be decided, wherein the service type comprises the steps of distributing responsible persons for the project to be processed and determining bidding projects;
inquiring whether data matched with the service type exists in a local enterprise database;
if yes, extracting data matched with the service type, and taking the extracted data as analysis data;
analyzing the business information to be decided based on the analysis data, and determining decision information of the business information to be decided;
and sending the decision information to a mobile terminal corresponding to the enterprise decision maker.
By adopting the technical scheme, the decision information of the business information to be decided is automatically determined by analyzing the data matched with the business type corresponding to the business information to be decided, and the decision information is sent to the mobile terminal corresponding to the enterprise decision maker, so that an auxiliary decision is provided for the enterprise decision maker.
Optionally, when the service type is a responsible person for allocation of the project to be processed, the querying, in the local enterprise database, whether there is data matching the service type includes:
acquiring an item type corresponding to an engineering item to be processed;
querying the local enterprise database for the presence of a history completion item of the same item type;
if yes, extracting all the history completion items with the same type as the items, and taking the extracted history completion items as comparison items;
calculating the correlation degree of the engineering project to be processed and each comparison project;
and when a comparison item with the correlation degree in a preset range exists, judging that data matched with the business information to be decided exists in the local enterprise database.
By adopting the technical scheme, the history completed project with the same project type as the project to be processed is extracted as the comparison project, if the comparison project with the similarity degree within the preset range exists in the local enterprise database, the data matched with the business information to be decided exists in the local enterprise database, so that the selected data is more attached to the project information to be processed, the determined decision information is more consistent with the project to be processed, and the scientific effectiveness of the decision of the project to be processed is improved.
Optionally, the analyzing the service information to be decided based on the analysis data, determining decision information of the service information to be decided includes:
acquiring processing staff corresponding to all comparison items with the correlation degree in a preset range;
querying the local enterprise database for a project completion period for each of the process workers;
acquiring a current processing project of each processing staff and a first completion time of the current project;
acquiring contract information corresponding to the project to be processed, wherein the contract information comprises completion time of the project to be processed;
selecting one of the processing staff as a responsible person of the project to be processed based on the project completion period, the first completion time and the completion time;
and acquiring the information of the responsible person, and taking the information of the responsible person as the decision information.
By adopting the technical scheme, the responsible person of the project to be processed is determined through the project completion period, the first completion time and the completion time, and an optimal responsible person is selected to participate in the management of the current processing project, so that the smooth progress of the current processing project is ensured.
Optionally, after the information of the responsible person is used as the decision information, the method further includes:
acquiring the processing progress of the engineering project to be processed in real time;
comparing the processing progress with a preset progress, and judging whether the project to be processed has an out-of-date behavior or not;
if yes, generating warning information.
By adopting the technical scheme, the processing progress is compared with the preset progress, so that whether the project to be processed has an out-of-date behavior or not is known, and when the out-of-date behavior occurs, warning information is timely generated to early warn an enterprise decision maker, so that the enterprise decision maker can take corresponding solving measures conveniently.
Optionally, after the generating the alert information, the method further includes:
acquiring a current processing project of each processing staff and a second completion time of the current project;
comparing the second completion time with the completion time, and judging whether a processing worker capable of assisting the responsible person in completing the project to be processed exists or not;
if yes, extracting processing staff capable of assisting the responsible person in completing the project to be processed, and taking the extracted processing staff as assisting staff;
Generating an assist policy based on the assist person.
By adopting the technical scheme, whether the processing staff can assist the responsible person in completing the project to be processed or not is judged through the current processing project of the processing staff and the second completion time of the current project, so that the possibility of out-of-period behavior of the project to be processed is reduced.
Optionally, when the service type is determining a bid item, the querying whether there is data matching the service information to be decided in the local enterprise database includes:
acquiring to-be-bidding project information, wherein the to-be-bidding project information comprises bidding indexes;
inquiring whether a winning bid item matched with the item information to be bid exists in the local enterprise database;
if yes, extracting a winning bid item matched with the to-be-bid item information, and taking the extracted winning bid item as an analysis item;
calculating the duty ratio of the analysis item in all winning bid items;
and when the duty ratio is in a preset range, judging that data matched with the service information to be decided exists.
Optionally, the analyzing the service information to be decided based on the analysis data, determining decision information of the service information to be decided includes:
Acquiring a currently unrevealed in-progress bid item;
judging whether the construction period of the in-progress bidding project and the construction period of the to-be-bidding project conflict or not;
if the construction period conflicts, judging whether the resource requirement for completing the project to be bid exists or not;
if the resource requirement for completing the to-be-bid item does not exist, calculating a first profit and a first winning rate of the in-progress bid item and a second profit and a second winning rate of the to-be-bid item;
determining a final bid item based on the first profit, the second profit, the first bid rate, and the second bid rate;
and taking the final bidding project as the decision information.
By adopting the technical scheme, when the project to be bid in progress conflicts with the project period of the project to be bid, whether enough resources exist or not is needed to finish the project to be bid, when the sufficient resources do not exist to finish the project to be bid, the final project to be bid is determined through the first profit, the second profit, the first winning rate and the second winning rate, so that the project to be bid which accords with enterprises more is selected.
In a second aspect, the application provides an industrial data analysis decision system, which adopts the following technical scheme:
An enterprise data analysis decision system, comprising:
the acquisition module is used for acquiring the business information to be decided;
the determining module is used for determining the service type of the service information to be decided based on the service information to be decided, wherein the service type comprises the steps of distributing responsible persons for the engineering project to be processed and determining bidding projects;
the query module is used for querying whether the data matched with the service type exists in the local enterprise database; if yes, extracting data matched with the service type, and taking the extracted data as analysis data;
the analysis determining module is used for analyzing the business information to be decided based on the analysis data and determining decision information of the business information to be decided;
and the sending module is used for sending the decision information to the mobile terminal corresponding to the enterprise decision maker.
By adopting the technical scheme, the decision information of the business information to be decided is automatically determined by analyzing the data matched with the business type corresponding to the business information to be decided, and the decision information is sent to the mobile terminal corresponding to the enterprise decision maker, so that an auxiliary decision is provided for the enterprise decision maker.
In a third aspect, the present application provides an electronic device, which adopts the following technical scheme:
an electronic device comprising a processor and a memory, the processor coupled with the memory;
the processor is configured to execute a computer program stored in the memory to cause the electronic device to perform the method according to any one of the first aspects.
In a fourth aspect, the present application provides a computer readable storage medium, which adopts the following technical scheme:
a computer readable storage medium comprising a computer program or instructions which, when run on a computer, cause the computer to perform the method of any of the first aspects.
Drawings
FIG. 1 is a flow chart illustrating an enterprise data analysis decision method according to an embodiment of the present application.
Fig. 2 is a block diagram of an enterprise data analysis decision system in accordance with an embodiment of the present application.
Fig. 3 is a block diagram of an electronic device embodying an embodiment of the present application.
Detailed Description
The present application will be described in further detail with reference to the accompanying drawings.
The present embodiment is only for explanation of the present application and is not to be construed as limiting the present application, and modifications to the present embodiment, which may not creatively contribute to the present application as required by those skilled in the art after reading the present specification, are all protected by patent laws within the scope of claims of the present application.
For the purpose of making the objects, technical solutions and advantages of the embodiments of the present application more apparent, the technical solutions of the embodiments of the present application will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present application, and it is apparent that the described embodiments are some embodiments of the present application, but not all embodiments of the present application. All other embodiments, which can be made by those skilled in the art based on the embodiments of the application without making any inventive effort, are intended to be within the scope of the application.
In addition, the term "and/or" herein is merely an association relationship describing an association object, and means that three relationships may exist, for example, a and/or B may mean: a exists alone, A and B exist together, and B exists alone. In this context, unless otherwise specified, the term "/" generally indicates that the associated object is an "or" relationship.
Embodiments of the application are described in further detail below with reference to the drawings.
The embodiment of the application provides an enterprise data analysis decision-making method which can be executed by electronic equipment, wherein the electronic equipment can be a server or terminal equipment, the server can be an independent physical server, a server cluster or a distributed system formed by a plurality of physical servers, and a cloud server for providing cloud computing service. The terminal device may be, but is not limited to, a smart phone, a tablet computer, a desktop computer, etc.
As shown in fig. 1, a main flow of the enterprise data analysis decision method is described as follows (steps S101 to S107):
step S101, obtaining business information to be decided;
the user uploads the business information to be decided to the electronic device through a mouse, a keyboard, a touch screen and the like of the electronic device, wherein the business information to be decided comprises, but is not limited to, project information to be processed, project information to be bid, production value information and human resource information, and in the embodiment, the business information to be decided is used as the project information to be processed and the project information to be bid.
The user may upload a file corresponding to the decision information to the electronic device, for example, a bid-inviting file corresponding to the project information to be bid or a project file corresponding to the project information to be processed.
And the electronic equipment acquires the business information to be decided through the file corresponding to the decision information.
Step S102, determining the service type of the service information to be decided based on the service information to be decided, wherein the service type comprises the steps of distributing responsible persons for the project to be processed and determining bidding projects;
step S103, inquiring whether data matched with the service type exists in a local enterprise database; if yes, executing step S104, otherwise executing step S107;
The decision service information comprises project information to be processed and project information to be bid.
When the electronic device receives the service information to be decided, the service type is determined according to the service information to be decided, wherein the mode of determining the service type by the electronic device can be that the service type is determined to be a bidding project when the received service information to be decided comprises a bidding document, and the mode of determining the service type is that the service type is determined to be a responsible person for distributing the engineering project to be processed when the received service information to be decided does not comprise the bidding document, and other modes can be adopted, and the method is not limited specifically.
The following description is directed to querying a local enterprise database for the presence of data matching the business type, respectively.
Firstly, distributing responsible persons for the engineering projects to be processed
Specifically, acquiring an item type corresponding to an engineering item to be processed; inquiring whether a history completed project with the same project type exists in a local enterprise database; if yes, extracting all the history completion items with the same item type, and taking the extracted history completion items as comparison items; calculating the correlation degree of the engineering project to be processed and each comparison project; and when the comparison item with the correlation degree in the preset range exists, judging that the data matched with the business information to be decided exists in the local enterprise database.
The local enterprise database includes, but is not limited to, enterprise target management behavior data, enterprise historical financial data, enterprise employee data, enterprise historical completion project data, and enterprise bid project information.
When the business information to be decided, which is acquired by the electronic equipment, is the project information to be processed, acquiring the project type of the project to be processed, wherein the project type of the project to be processed comprises, but is not limited to, a track, a highway, a tunnel, a bridge, a railway, a subway, a new project, an extension project, a reconstruction project, a migration project and a recovery project.
The electronic equipment extracts keywords in a file corresponding to the project information to be processed, the project type of the project to be processed is determined through the keywords, for example, a project processing file related to railway transformation is processed, at the moment, the railway is the keyword of the project to be processed, and the project type of the project to be processed can be determined through the keywords to be the railway.
The electronic equipment extracts all the history completion project data which are the same as the project type in the local enterprise database, and takes the history completion project as a comparison project to participate in the calculation of the correlation degree.
The manner of calculating the correlation degree between the engineering project to be processed and each comparison project may be: and respectively extracting keywords of the comparison items and the engineering items to be processed, obtaining the similarity degree of each comparison item and the keywords in the engineering items to be processed through nlp semantic analysis, determining the correlation degree through the similarity degree, wherein the comparison items comprise 10 keywords, the engineering items to be processed comprise 10 keywords, the similarity degree of 7 keywords is 80%, determining that the correlation degree of the comparison items is in a preset range at the moment, and determining that data matched with the business information to be decided exists in a local enterprise database.
(II) determining bid items
Specifically, acquiring to-be-bidding project information, wherein the to-be-bidding project information comprises bidding indexes; inquiring whether a winning bid item matched with the item information to be bid exists in a local enterprise database; if yes, extracting a winning bid item matched with the information of the item to be bid, and taking the extracted winning bid item as an analysis item; calculating the duty ratio of the analysis item in all winning bid items;
and when the duty ratio is in a preset range, judging that the data matched with the service information to be decided exists.
When the business information to be decided acquired by the electronic equipment is the information of the items to be bid, a business scoring table in a bid document is extracted, a plurality of bid indexes in the business scoring table are identified, wherein the identification mode can be key word identification, a local enterprise database is used for inquiring the winning bid items corresponding to the historical bid document similar to the bid indexes, the winning bid items are used as analysis items, the proportion of the analysis items in all winning bid items is calculated, the number of winning bid items in the analysis items is a numerator, the number of winning bid items in all winning bid items is a denominator, the preset range is 1/3-1/4, and when the proportion of the winning bid number of comparison items is in the preset range, the existence of data matched with the business information to be decided is judged.
Step S104, extracting data matched with the service type, and taking the extracted data as analysis data;
in this embodiment, the electronic device extracts all data matched with the service to be decided, where the data matched with the service to be decided includes, but is not limited to, a history bid file, a history bid result, and a related file of a history completion item; and taking the data matched with the service to be decided as analysis data to participate in the decision information determination of the service to be decided.
Step S105, analyzing the business information to be decided based on the analysis data, and determining the decision information of the business information to be decided;
the decision information of the project information to be processed and the project information to be bid is described below.
Firstly, distributing responsible persons for the engineering projects to be processed
Specifically, processing staff corresponding to comparison items with all correlation degrees in a preset range are obtained; querying a local enterprise database for a project completion period for each process staff; acquiring a current processing project of each processing staff and a first completion time of the current project; acquiring contract information corresponding to the project to be processed, wherein the contract information comprises completion time of the project to be processed; selecting one of the processing staff as a responsible person of the project to be processed based on the project completion period, the first completion time and the completion time; and acquiring information of the responsible person, and taking the information of the responsible person as decision information.
In this embodiment, when the project to be processed is acquired, a responsible person needs to be allocated to the project to be processed to manage the project to be processed.
When the electronic equipment receives an engineering project to be processed, extracting processing staff corresponding to comparison projects with all relevant degrees in a preset range, and acquiring a current processing project of each processing staff, a first completion time of the current processing project and a project completion period of each processing staff;
the electronic equipment acquires contract information corresponding to the project to be processed, wherein the contract information comprises completion date, and one person in charge of the project to be processed is selected from processing staff through project completion period, first completion time and completion time, so that the person in charge is reasonably distributed to the project to be processed, the person in charge is enabled to be more in accordance with the management requirement of the project to be processed, and the project to be processed is guaranteed to be carried out smoothly.
And screening out all the processing staff who can process the project to be processed before completion date through project completion period and first completion time, and extracting the processing staff with the farthest first completion time from the selected processing staff as responsible staff.
After the information of the responsible person of the engineering project to be processed is taken as decision information, the method further comprises the following steps:
specifically, the processing progress of the engineering project to be processed is obtained in real time; comparing the processing progress with a preset progress, and judging whether the project to be processed has an out-of-date behavior or not; if yes, generating warning information.
In the embodiment, a responsible person uploads the processing progress of the project to be processed to electronic equipment in real time, and the electronic equipment acquires the processing progress of the project to be processed in real time; the method comprises the steps that a preset progress of a current processing project is prestored in electronic equipment, the processing progress of the current date and the preset progress of the current date are obtained by the electronic equipment, the current progress and the preset progress are compared, whether the current progress is behind the preset progress or not is judged, if yes, the fact that the project to be processed is likely to have an out-of-date behavior is proved, warning information is generated at the moment, the warning information comprises but not limited to the name of the project to be processed and the out-of-date time length, so that an enterprise decision maker can obtain the progress of each project to be processed in real time, and timely cope with the out-of-date risk.
Wherein after generating the warning information, the method further comprises:
Specifically, a current processing project of each processing staff and a second completion time of the current project are obtained; comparing the second completion time with the completion time, and judging whether a processing worker capable of assisting a responsible person in completing the project to be processed exists or not; if yes, extracting processing staff capable of assisting a responsible person in completing the project to be processed, and taking the extracted processing staff as assisting staff; an assistance policy is generated based on the assistance personnel.
In this embodiment, when the processing progress is smaller than the preset progress, a current processing project of each processing staff and a second completion time of the current project are obtained, wherein the processing progress is smaller than a date corresponding to the preset progress, the second completion time is a predicted completion time of the current processing project, the second completion time is compared with the completion time, the processing staff corresponding to the completion time is extracted, and the processing staff is allocated to the current processing project to assist the responsible staff to finish the project to be processed together, so that the possibility of out-of-date behavior is reduced; when a plurality of assisting personnel exist, all the coordinating personnel can participate in the assistance of the project to be processed, the idle time between the second completion time and the completion time can be selected and calculated, the assisting personnel with the longest idle time can be selected to assist the project to be processed,
Specifically, in this embodiment, the processing staff is the responsible person in each project, and the allocating the processing staff to the current processing project includes allocating the manpower and material resources managed by the processing staff to the project to be processed.
(II) and determining bid items
Specifically, acquiring a currently unrepresented in-progress bid item; judging whether the construction period of the progressive bidding project conflicts with the construction period of the project to be bidding or not; if the construction period is conflicted, judging whether the resource requirement for completing the project to be bid exists; if the resource requirement for completing the to-be-bidding project does not exist, calculating the first profit and the first winning rate of the bidding project in progress and the second profit and the second winning rate of the to-be-bidding project; determining a final bid item based on the first profit, the second profit, the first bid rate, and the second bid rate; and taking the final bidding project as decision information.
When the electronic device acquires the item to be bid, acquiring a first completion date of the item to be bid in the currently unrepresented progress and a second completion date of the item to be bid, and comparing whether the difference between the first completion date and the second completion date is within a preset time range, wherein the preset time range can be formulated through the engineering period of the item to be bid, and the preset time range can be the engineering period of the item to be bid.
If the project period of the bid item and the project period of the to-be-bid item in the progress which is not disclosed currently are overlapped by more than 20%, judging that the project period conflicts, inquiring whether enough resources in an enterprise can process the to-be-bid item at the moment, and if so, generating decision information for bidding the to-be-bid item, wherein the resources comprise manpower, material resources and time resources; if not, calculating the first profit and the first winning rate of the bidding project in progress and the second profit and the second winning rate of the bidding project to be bid, and directly bidding the bidding project to be bid as decision information when the construction period is not in conflict.
The calculation of the first bid winning rate and the second bid winning rate can be determined through the proportion of bid winning times of bidding items of the same type as the items to be bid in all bid winning items in a local enterprise database, and the bid winning rate is larger as the proportion is larger.
When the winning bid rate is the same, selecting the in-progress bidding item or the to-be-bidding item with large profit as the final bidding item; when profits are the same, selecting a progressive bidding item or a to-be-bidding item with high bid winning rate as a final bidding item; and when the winning rate and the profit are different, selecting the bid-in-progress bid item or the to-be-bid item with the winning bid as a final bid item, and taking the final bid item as decision information.
In particular, when an ongoing bid item is not selected, it is necessary to submit a discard bid item, and the final bid item is the bid item selected when a conflict occurs in the construction period.
And step S106, the decision information is sent to the mobile terminal corresponding to the enterprise decision maker.
In this embodiment, the determined responsible person who is currently processing the engineering project or the final bidding project is sent to the mobile terminal corresponding to the enterprise decision maker as decision information, so as to assist the enterprise decision maker in making decisions on the business to be decided, and improve the scientificity and accuracy of the decisions.
Step S107, selecting data similar to the business information to be decided from the local enterprise database, analyzing the selected similar data, and determining the decision information of the business information to be decided.
In this embodiment, the manner of selecting data similar to the business information to be decided from the local enterprise database is consistent with the manner of calculating the correlation degree between the engineering project to be processed and each comparison project, and will not be described again.
And analyzing the selected similar data, and determining that the decision information of the service information to be decided is consistent with the mode of the step S104, which is not repeated.
Fig. 2 is a block diagram of an enterprise data analysis decision system 200. As shown in fig. 2, the enterprise data analysis decision system 200 mainly includes:
An acquisition module 201, configured to acquire service information to be decided;
a determining module 202, configured to determine a service type of the service information to be decided based on the service information to be decided, where the service type includes allocation of a responsible person for the project to be processed and determination of a bidding project;
a query module 203, configured to query a local enterprise database for whether there is data matching the service type; if yes, extracting data matched with the service type, and taking the extracted data as analysis data;
the analysis determining module 204 is configured to analyze the service information to be decided based on the analysis data, and determine decision information of the service information to be decided;
and the sending module 205 is configured to send the decision information to a mobile terminal corresponding to the enterprise decision maker.
As an alternative implementation of this embodiment, the query module 203 includes:
the type acquisition sub-module is used for acquiring the item type corresponding to the engineering item to be processed;
a first query sub-module, configured to query a local enterprise database for whether there is a history completion item of the same type as the item; if yes, extracting all the history completion items with the same item type, and taking the extracted history completion items as comparison items;
The first computing sub-module is used for computing the correlation degree between the engineering project to be processed and each comparison project;
and the first judging sub-module is used for judging that the data matched with the business information to be decided exists in the local enterprise database when the comparison item with the correlation degree in the preset range exists.
As an alternative implementation of the present embodiment, the analysis determining module 204 includes:
the personnel acquisition sub-module is used for acquiring processing personnel corresponding to all comparison items with the correlation degree in a preset range;
a second query sub-module for querying a local enterprise database for a project completion period for each process staff;
the time acquisition sub-module is used for acquiring the current processing project of each processing staff and the first completion time of the current project;
the contract acquisition sub-module is used for acquiring contract information corresponding to the project to be processed, wherein the contract information comprises completion time of the project to be processed;
the selecting sub-module is used for selecting one of the processing staff as a responsible person of the project to be processed based on the project completion period, the first completion time and the completion time;
the first decision sub-module is used for acquiring information of a responsible person and taking the information of the responsible person of the engineering project to be processed as decision information.
As an alternative implementation of this embodiment, the enterprise data analysis decision system 200 further includes:
the progress acquisition module is used for acquiring the processing progress of the project to be processed in real time after taking the responsible person information of the project to be processed as decision information;
the behavior judging module is used for comparing the processing progress with a preset progress and judging whether the project to be processed has an out-of-date behavior or not; if yes, generating warning information.
As an alternative implementation of this embodiment, the enterprise data analysis decision system 200 further includes:
the completion time acquisition module is used for acquiring the current processing project of each processing staff and the second completion time of the current project after the warning information is generated;
the comparison judging module is used for comparing the second completion time with the completion time and judging whether a processing worker capable of assisting a responsible person in completing the project to be processed exists or not; if yes, extracting processing staff capable of assisting a responsible person in completing the project to be processed, and taking the extracted processing staff as assisting staff;
and the strategy generation module is used for generating an auxiliary strategy based on the assistance personnel.
As an optional implementation manner of this embodiment, the query module 202 further includes:
the information acquisition sub-module is used for acquiring to-be-bidding project information, wherein the to-be-bidding project information comprises bidding indexes;
the third inquiry submodule is used for inquiring whether a winning bid item matched with the item information to be bid exists in the local enterprise database; if yes, extracting a winning bid item matched with the information of the item to be bid, and taking the extracted winning bid item as an analysis item;
the second calculation sub-module is used for calculating the duty ratio of the analysis item in all winning bid items;
and the second judging sub-module is used for judging that the data matched with the service information to be decided exists when the duty ratio is in the preset range.
As an alternative implementation manner of this embodiment, the analysis determining module 203 further includes:
the bid item acquisition sub-module is used for acquiring currently unreported bid items in progress;
the judging submodule is used for judging whether the construction periods of the progressive bidding projects and the projects to be bidding conflict or not; if the construction period is conflicted, judging whether the resource requirement for completing the project to be bid exists; if the resource requirement for completing the to-be-bidding project does not exist, calculating the first profit and the first winning rate of the bidding project in progress and the second profit and the second winning rate of the to-be-bidding project;
The project determining submodule is used for determining a final bidding project based on the first profit, the second profit, the first winning rate and the second winning rate;
and the sub-module is used for taking the final bidding project as decision information.
The functional modules in the embodiment of the application can be integrated together to form an independent part, or each module can exist independently, or two or more modules can be integrated to form an independent part. The functions, if implemented in the form of software functional modules and sold or used as a stand-alone product, may be stored on a computer readable storage medium. Based on such understanding, the technical solution of the present application may be embodied essentially or in a part contributing to the prior art or in a part of the technical solution in the form of a software product stored in a storage medium, comprising several instructions for causing an electronic device (which may be a personal computer, a server or a network device, etc.) to perform all or part of the steps of an enterprise data analysis decision method of the various embodiments of the present application.
It will be clearly understood by those skilled in the art that, for convenience and brevity of description, specific working procedures of the above-described system, apparatus and module may refer to corresponding procedures in the foregoing method embodiments, which are not repeated herein.
Fig. 3 is a block diagram of an electronic device 300 according to an embodiment of the present application. As shown in fig. 3, the electronic device 300 includes a memory 301, a processor 302, and a communication bus 303; the memory 301 and the processor 302 are connected by a communication bus 303. The memory 301 has stored thereon an enterprise data analysis decision method that can be loaded and executed by the processor 302 as provided by the above-described embodiments.
Memory 301 may be used to store instructions, programs, code sets, or instruction sets. The memory 301 may include a storage program area and a storage data area, wherein the storage program area may store instructions for implementing an operating system, instructions for at least one function, instructions for implementing an enterprise data analysis decision method provided by the above-described embodiments, and the like; the storage data area may store data and the like involved in an enterprise data analysis decision method provided in the above embodiments.
Processor 302 may include one or more processing cores. The processor 302 performs the various functions of the present application and processes data by executing or executing instructions, programs, code sets, or instruction sets stored in the memory 301, invoking data stored in the memory 301. The processor 602 may be at least one of an application specific integrated circuit (Application Specific Integrated Circuit, ASIC), a digital signal processor (Digital Signal Processor, DSP), a digital signal processing device (Digital Signal Processing Device, DSPD), a programmable logic device (Programmable Logic Device, PLD), a field programmable gate array (Field Programmable Gate Array, FPGA), a central processing unit (Central Processing Unit, CPU), a controller, a microcontroller, and a microprocessor. It will be appreciated that the electronics for implementing the functions of the processor 302 described above may be other for different devices, and embodiments of the present application are not particularly limited.
Communication bus 303 may include a path to transfer information between the components. The communication bus 303 may be a PCI (Peripheral Component Interconnect, peripheral component interconnect standard) bus or an EISA (Extended Industry Standard Architecture ) bus, or the like. The communication bus 303 may be classified into an address bus, a data bus, a control bus, and the like. For ease of illustration, only one double arrow is shown in fig. 3, but not only one bus or one type of bus.
An embodiment of the present application provides a computer readable storage medium storing a computer program capable of being loaded by a processor and executing an enterprise data analysis decision method as provided in the above embodiment.
In this embodiment, the computer-readable storage medium may be a tangible device that holds and stores instructions for use by the instruction execution device. The computer readable storage medium may be, but is not limited to, an electronic storage device, a magnetic storage device, an optical storage device, an electromagnetic storage device, a semiconductor storage device, or any combination of the preceding. In particular, the computer readable storage medium may be a portable computer disk, hard disk, USB flash disk, random Access Memory (RAM), read-only memory (ROM), erasable programmable read-only memory (EPROM or flash memory), podium random access memory (SRAM), portable compact disc read-only memory (CD-ROM), digital Versatile Disk (DVD), memory stick, floppy disk, optical disk, magnetic disk, mechanical coding device, and any combination of the foregoing.
The terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus.
The above description is only illustrative of the preferred embodiments of the present application and of the principles of the technology employed. It will be appreciated by persons skilled in the art that the scope of the application is not limited to the specific combinations of the features described above, but also covers other embodiments which may be formed by any combination of the features described above or their equivalents without departing from the spirit of the application. Such as the above-mentioned features and the technical features having similar functions (but not limited to) applied for in the present application are replaced with each other.

Claims (10)

1. An enterprise data analysis decision method, comprising:
acquiring business information to be decided;
determining a service type of the service information to be decided based on the service information to be decided, wherein the service type comprises the steps of distributing responsible persons for the project to be processed and determining bidding projects;
Inquiring whether data matched with the service type exists in a local enterprise database;
if yes, extracting data matched with the service type, and taking the extracted data as analysis data;
analyzing the business information to be decided based on the analysis data, and determining decision information of the business information to be decided;
and sending the decision information to a mobile terminal corresponding to the enterprise decision maker.
2. The method of claim 1, wherein when the business type is a job-responsible person for a pending project allocation, the querying the local enterprise database for the presence of data matching the business type comprises:
acquiring an item type corresponding to an engineering item to be processed;
querying the local enterprise database for the presence of a history completion item of the same item type;
if yes, extracting all the history completion items with the same type as the items, and taking the extracted history completion items as comparison items;
calculating the correlation degree of the engineering project to be processed and each comparison project;
and when a comparison item with the correlation degree in a preset range exists, judging that data matched with the business information to be decided exists in the local enterprise database.
3. The method of claim 2, wherein the analyzing the to-be-decided business information based on the analysis data, determining decision information of the to-be-decided business information, comprises:
acquiring processing staff corresponding to all comparison items with the correlation degree in a preset range;
querying the local enterprise database for a project completion period for each of the process workers;
acquiring a current processing project of each processing staff and a first completion time of the current project;
acquiring contract information corresponding to the project to be processed, wherein the contract information comprises completion time of the project to be processed;
selecting one of the processing staff as a responsible person of the project to be processed based on the project completion period, the first completion time and the completion time;
and acquiring the information of the responsible person, and taking the information of the responsible person as the decision information.
4. A method according to claim 3, further comprising, after said taking the information of the responsible person as said decision information:
acquiring the processing progress of the engineering project to be processed in real time;
Comparing the processing progress with a preset progress, and judging whether the project to be processed has an out-of-date behavior or not;
if yes, generating warning information.
5. The method of claim 3, further comprising, after the generating the alert information:
acquiring a current processing project of each processing staff and a second completion time of the current project;
comparing the second completion time with the completion time, and judging whether a processing worker capable of assisting the responsible person in completing the project to be processed exists or not;
if yes, extracting processing staff capable of assisting the responsible person in completing the project to be processed, and taking the extracted processing staff as assisting staff;
generating an assist policy based on the assist person.
6. The method of claim 1, wherein when the service type is a determined bid item, the querying in a local enterprise database whether there is data matching the service information to be decided comprises:
acquiring to-be-bidding project information, wherein the to-be-bidding project information comprises bidding indexes;
inquiring whether a winning bid item matched with the item information to be bid exists in the local enterprise database;
If yes, extracting a winning bid item matched with the to-be-bid item information, and taking the extracted winning bid item as an analysis item;
calculating the duty ratio of the analysis item in all winning bid items;
and when the duty ratio is in a preset range, judging that data matched with the service information to be decided exists.
7. The method of claim 6, wherein the analyzing the to-be-decided business information based on the analysis data to determine decision information of the to-be-decided business information comprises:
acquiring a currently unrevealed in-progress bid item;
judging whether the construction period of the in-progress bidding project and the construction period of the to-be-bidding project conflict or not;
if the construction period conflicts, judging whether the resource requirement for completing the project to be bid exists or not;
if the resource requirement for completing the to-be-bid item does not exist, calculating a first profit and a first winning rate of the in-progress bid item and a second profit and a second winning rate of the to-be-bid item;
determining a final bid item based on the first profit, the second profit, the first bid rate, and the second bid rate;
and taking the final bidding project as the decision information.
8. An enterprise data analysis decision system, comprising:
the acquisition module is used for acquiring the business information to be decided;
the determining module is used for determining the service type of the service information to be decided based on the service information to be decided, wherein the service type comprises the steps of distributing responsible persons for the engineering project to be processed and determining bidding projects;
the query module is used for querying whether the data matched with the service type exists in the local enterprise database; if yes, extracting data matched with the service type, and taking the extracted data as analysis data;
the analysis determining module is used for analyzing the business information to be decided based on the analysis data and determining decision information of the business information to be decided;
and the sending module is used for sending the decision information to the mobile terminal corresponding to the enterprise decision maker.
9. An electronic device comprising a processor and a memory, the processor coupled to the memory;
the processor is configured to execute a computer program stored in the memory to cause the electronic device to perform the method of any one of claims 1 to 7.
10. A computer readable storage medium comprising a computer program or instructions which, when run on a computer, cause the computer to perform the method of any of claims 1 to 7.
CN202310626905.9A 2023-05-30 2023-05-30 Enterprise data analysis decision method, system, electronic equipment and storage medium Pending CN116739247A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202310626905.9A CN116739247A (en) 2023-05-30 2023-05-30 Enterprise data analysis decision method, system, electronic equipment and storage medium

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202310626905.9A CN116739247A (en) 2023-05-30 2023-05-30 Enterprise data analysis decision method, system, electronic equipment and storage medium

Publications (1)

Publication Number Publication Date
CN116739247A true CN116739247A (en) 2023-09-12

Family

ID=87907183

Family Applications (1)

Application Number Title Priority Date Filing Date
CN202310626905.9A Pending CN116739247A (en) 2023-05-30 2023-05-30 Enterprise data analysis decision method, system, electronic equipment and storage medium

Country Status (1)

Country Link
CN (1) CN116739247A (en)

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN117930742A (en) * 2024-03-21 2024-04-26 山西坚科控制技术有限公司 Automatic control system based on PLC

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN117930742A (en) * 2024-03-21 2024-04-26 山西坚科控制技术有限公司 Automatic control system based on PLC
CN117930742B (en) * 2024-03-21 2024-05-31 山西坚科控制技术有限公司 Automatic control system based on PLC

Similar Documents

Publication Publication Date Title
JP5566422B2 (en) High risk procurement analysis and scoring system
US20220044289A1 (en) Document term recognition and analytics
US11941714B2 (en) Analysis of intellectual-property data in relation to products and services
US11887201B2 (en) Analysis of intellectual-property data in relation to products and services
US10579651B1 (en) Method, system, and program for evaluating intellectual property right
CN107102993B (en) User appeal analysis method and device
CN103942220A (en) Method used for intelligently linking work orders with knowledge of knowledge base and suitable for IT operation and maintenance system
CN109389321B (en) Item list classification method and device
CN111383005A (en) Digital currency flow direction tracking method and device
CN112750029A (en) Credit risk prediction method, device, electronic equipment and storage medium
Rooeinfar et al. Stochastic flexible flow shop scheduling problem with limited buffers and fixed interval preventive maintenance: a hybrid approach of simulation and metaheuristic algorithms
US20210004920A1 (en) Analysis Of Intellectual-Property Data In Relation To Products And Services
CN106991175A (en) A kind of customer information method for digging, device, equipment and storage medium
CN116739247A (en) Enterprise data analysis decision method, system, electronic equipment and storage medium
CN111242318A (en) Business model training method and device based on heterogeneous feature library
WO2021003187A1 (en) Analysis of intellectual-property data in relation to products and services
CN111582645A (en) APP risk assessment method and device based on factorization machine and electronic equipment
CN110728520A (en) Processing method and device for refusal payment application and server
Keskin et al. Does privatization affect airports performance? A comparative analysis with AHP-TOPSIS and DEA
CN116757837A (en) Credit wind control method and system applied to winning bid
CN116485019A (en) Data processing method and device
CN112001158A (en) Document generation method and device, computer equipment and computer readable storage medium
US20140172874A1 (en) Intelligent analysis queue construction
CN110782128A (en) User occupation label generation method and device and electronic equipment
KR101960863B1 (en) System of valuation of technology

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination