CN114819909A - Enterprise management data information acquisition method - Google Patents
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Abstract
The invention relates to the technical field of enterprise data information management, in particular to an enterprise management data information acquisition method, which comprises the following steps: s1, collecting data; s2: data summarization, namely classifying and summarizing information; s3: data comparison, data analysis comparison; s4: data marking, namely performing grading color marking on abnormal data; s5: data early warning, sending early warning information; s6: and data feedback is realized, so that the follow-up enterprise personnel can be conveniently inquired and summarized. In the traditional enterprise data acquisition and sorting analysis process, the standard value is determined, the deviation percentage is calculated, the data is defined as normal data, I-level abnormity, II-level abnormity, III-level abnormity and IV-level abnormity in a targeted manner, the data is subjected to color marking in a targeted manner, and corresponding early warning information is sent out at the same time, so that enterprise managers can process the abnormity in time conveniently, the management level of enterprises can be further improved, and the healthy and orderly development of the enterprises is further ensured.
Description
Technical Field
The invention relates to the technical field of enterprise data information management, in particular to an enterprise management data information acquisition method.
Background
In the process of enterprise development and management, data information is very important, the development condition in the whole enterprise stage can be visually expressed, and the data information has relatively important reference significance for the subsequent development of the enterprise, but most of the current enterprise data information is only used for simply collecting and integrally analyzing related information in the collection process, and the data information does not have an early warning function.
Chinese patent No. CN105574119A discloses a data management system for enterprise product information, which can realize data statistics, effectively manage the data classified by statistics, improve the storage efficiency and calling efficiency of the data, and reduce the difficulty in developing a database.
Chinese patent No. CN113919808A discloses an enterprise information management system based on big data, the invention can manage the enterprise information of a client and the cooperation information of the client enterprise through a client management unit, thereby facilitating high-level leaders and staff to clearly know the culture, annual profit, main operation products and the establishment years of the cooperation enterprise and improving the cooperation probability; the enterprise information module can be used for displaying the enterprise culture and the enterprise welfare information of the enterprise, the training time of the enterprise, the training place, the training content and the information of training personnel, and the rules and regulations for enterprise reward and punishment, so that the staff can clearly know the system of the enterprise, the adaptive rapidity is improved, the data problem of the enterprise is still ignored, and the improvement is needed.
Disclosure of Invention
The invention aims to solve the defects in the prior art and provides an enterprise management data information acquisition method.
In order to achieve the purpose, the invention adopts the following technical scheme: an enterprise management data information acquisition method comprises the following steps:
s1: data collection, namely collecting relevant information of all departments inside an enterprise respectively, classifying and sorting the relevant information, and uploading the relevant information to an enterprise cloud database;
s2: data summarization, namely classifying and summarizing the collected information of each department and forming a current real-time data cache table;
s3: data comparison, namely analyzing and comparing the obtained current real-time data cache table with the data of the previous year to obtain various data information comparison record cache tables;
s4: data marking, namely grading and color marking are carried out on abnormal data in time if abnormal data occurs in the process of data comparison, and all abnormal data are summarized to obtain an abnormal data information cache table;
s5: data early warning, namely monitoring abnormal data according to the abnormal degree of each item of abnormal data, and sending early warning information to a background if the abnormal data are not processed and fed back for a long time;
s6: and data feedback, namely automatically caching all relevant data which send out early warning information to form an abnormal data information feedback record cache table, so that follow-up enterprise personnel can conveniently inquire and summarize.
In order to improve the intuitiveness of data arrangement, the invention improves that in S1, the recording and caching modes of each item of data are all expressed by percentages.
In order to clarify the type of data information to be collected, the present invention improves that in the process of collecting data information of each department in S1, the type of data information includes, but is not limited to, department personnel basic data information, department personnel flow data information, department stage financial expenditure and income data information, department document issuing and processing data information, and the like.
In order to clarify the content of the current real-time data cache table, the invention improves that in S2, the current real-time data cache table content includes, but is not limited to, department name, information data name, table generation time, table update time, and the like.
In order to clarify the related content of the data information comparison record cache table, the invention improves that in S3, the content of the data information comparison record cache table includes, but is not limited to, a department name, an abnormal information data name, a table generation time, a table update time, and the like.
In order to implement accurate definition of abnormal conditions, the present invention improves that in the process of grading and marking abnormal data in S4, a standard value N of each item of data is determined, then deviation values of actual data of each item of data from the standard value N are calculated, deviation percentages are obtained, the abnormal conditions are graded according to the deviation percentages, and if the deviation percentages [1,1.5], a grade i abnormality is defined; if the deviation percentage is [1.5,2], defining as class II abnormity; if the deviation percentage [2,3], defining as grade III abnormality; if the percent deviation is [3, ∞ ], it is defined as a grade IV anomaly.
In order to improve the display effect of the abnormal data, the invention has the improvement that in the step S4, when the abnormal data is marked, the abnormal data is marked according to the abnormal grade of the data, and if the data is in the normal range, the data is marked as green; if the data is in the I-level abnormity, marking the data as grey; if the data is in the second-level abnormity, marking the data into yellow; if the data is in the III-level abnormity, marking the data in light red; if the data is in a level IV exception, the data is marked with a deep red color.
In order to issue a targeted early warning for an abnormal situation, the improvement of the present invention is that in S5, when an early warning is issued for abnormal data, different early warning information is issued according to the abnormal grade of the data, and if the data is in a grade i abnormal condition, a grade i early warning information is issued (the related department directly belongs to the responsible person and receives the early warning information); if the data is abnormal at the level II, the early warning information at the level II (the relevant departments directly belong to the responsible persons and the regional general manager receive the early warning information); if the data is abnormal in level III, level III early warning information (the relevant department directly belongs to the responsible person, the regional responsible person and the responsible person of the enterprise headquarters receive the early warning information); and if the data is abnormal in the IV level, the early warning information of the IV level (all the enterprise leadership receives the early warning information).
In order to ensure the validity of data of various data cache tables, the invention has the improvement that the current real-time data cache table is updated in real time, the data information comparison record cache table is updated in a week, the abnormal data information cache table is updated in a month, and the abnormal data information feedback record cache table is updated in a quarter.
Compared with the prior art, the invention has the advantages and positive effects that:
in the invention, in the traditional enterprise data acquisition and sorting analysis process, a standard value is determined, the deviation percentage is calculated, the data is defined as normal data, I-level abnormity, II-level abnormity, III-level abnormity and IV-level abnormity in a targeted manner, the data is subjected to color marking in a targeted manner, and corresponding early warning information is sent out at the same time, so that enterprise managers can process the abnormity in time conveniently, the management level of enterprises can be further improved, and the healthy and orderly development of the enterprises is ensured.
Drawings
FIG. 1 is a flowchart illustrating steps of a method for collecting enterprise management data information according to the present invention;
fig. 2 is an abnormal situation handling table of the enterprise management data information collection method according to the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, the present invention is described in further detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.
In the description of the present invention, it is to be understood that the terms "length", "width", "upper", "lower", "front", "rear", "left", "right", "vertical", "horizontal", "top", "bottom", "inner", "outer", and the like, indicate orientations or positional relationships based on those shown in the drawings, and are used only for convenience in describing the present invention and for simplicity in description, and do not indicate or imply that the devices or elements referred to must have a particular orientation, be constructed in a particular orientation, and be operated, and thus, are not to be construed as limiting the present invention. Further, in the description of the present invention, "a plurality" means two or more unless specifically defined otherwise.
Examples
Referring to fig. 1-2, the present invention provides a technical solution: an enterprise management data information acquisition method comprises the following steps:
s1: data collection, namely collecting relevant information of all departments inside an enterprise respectively, classifying and sorting the relevant information, and uploading the relevant information to an enterprise cloud database;
s2: data summarization, namely classifying and summarizing the collected information of each department and forming a current real-time data cache table;
s3: data comparison, namely analyzing and comparing the obtained current real-time data cache table with the data of the previous year to obtain various data information comparison record cache tables;
s4: data marking, namely grading and color marking are carried out on abnormal data in time if abnormal data occurs in the process of data comparison, and all abnormal data are summarized to obtain an abnormal data information cache table;
s5: data early warning, namely monitoring abnormal data according to the abnormal degree of each item of abnormal data, and sending early warning information to a background if the abnormal data are not processed and fed back for a long time;
s6: and data feedback, namely automatically caching all relevant data which send out early warning information to form an abnormal data information feedback record cache table, so that follow-up enterprise personnel can conveniently inquire and summarize.
In S1, recording and caching modes of various data are all expressed in percentage, and a counting mode of percentage is adopted, so that the front and back differences of the data can be obtained more intuitively and clearly, in S1, in the process of collecting data information of each department, the types of the data information include but are not limited to department personnel basic data information, department personnel flow data information, financial expenditure and income data information in department stages, department file issuing and processing data information and the like, in S2, the current real-time data caching table content includes but is not limited to department names, various information data names, table generation time, table updating time and the like, in S3, the data information contrasts with the recording and caching table content including but is not limited to department names, abnormal information data names, table generation time, table updating time and the like, so that the types of information to be collected, the current real-time data caching table, and the like are defined, The data information is compared with the content of the record cache table, so that the subsequent work can be carried out stably.
In the S4, in the process of grading and marking abnormal data, firstly determining a standard value N of each item of data, then calculating the deviation value of the actual data of each item of data from the standard value N, obtaining the deviation percentage, grading the abnormal condition according to the deviation percentage, and defining the abnormal condition as I-grade abnormality if the deviation percentage is [1,1.5 ]; if the deviation percentage is [1.5,2], defining the abnormality as class II; if the deviation percentage [2,3], defining as grade III abnormality; if the deviation percentage [3, ∞ ] is defined as IV-level abnormality, abnormal data is classified, the priority of related problems can be determined, and enterprise managers can conveniently grasp the work key.
In S4, when the abnormal data is marked, the abnormal data is marked according to the abnormal level of the data, and if the data is in the normal range, the abnormal data is marked as green; if the data is in the I-level abnormity, marking the data as grey; if the data is in the second-level abnormity, marking the data into yellow; if the data is in the III-level abnormity, marking the data in light red; if the data is in IV-level abnormality, marking the data into deep red, in S5, when an early warning is given to the abnormal data, different early warning information is given according to the abnormal level of the data, and if the data is in I-level abnormality, I-level early warning information is given (the related department directly belongs to the responsible person and receives the early warning information); if the data is abnormal in level II, level II early warning information (the relevant department directly belongs to the responsible person and the regional general manager receives the early warning information); if the data is abnormal in level III, level III early warning information (the relevant department directly belongs to the responsible person, the regional responsible person and the responsible person of the enterprise headquarters receive the early warning information); if the data is abnormal at the IV level, the early warning information at the IV level (the early warning information is received by the enterprise leader hierarchy), in the invention, the data is subjected to color marking in a targeted manner, and the corresponding early warning information is sent out at the same time, so that enterprise managers can conveniently process the abnormal condition in time, the management level of enterprises can be further improved, and the healthy and orderly development of the enterprises is further ensured.
The current real-time data cache table is updated in real time, the data information comparison record cache table is updated one week, the abnormal data information cache table is updated one month and the abnormal data information feedback record cache table is updated one quarter.
The working principle is as follows: firstly, collecting data, respectively collecting relevant information of each department in an enterprise, classifying and sorting the information, uploading the information to an enterprise cloud database, summarizing the data, classifying and summarizing the collected information of each department, forming a current real-time data cache table, then carrying out data comparison, analyzing and comparing the obtained current real-time data cache table with the data in the past year to obtain various data information comparison record cache tables, then carrying out abnormal grade judgment and data marking, if abnormal data occurs in the process of data comparison, grading and marking colors on the abnormal data in time, summarizing the various abnormal data to obtain an abnormal data information cache table, then sending early warning information, monitoring the abnormal data according to the abnormal degree of the various abnormal data, if the abnormal data is not processed and fed back for a long time, and sending early warning information to a background, and finally, automatically caching all relevant data which send the early warning information to form an abnormal data information feedback record cache table, so that follow-up enterprise personnel can conveniently inquire and summarize, the data are subjected to color marking in a targeted manner, and corresponding early warning information is sent out at the same time, so that enterprise managers can conveniently process abnormal conditions in time, the management level of enterprises can be further improved, and the healthy and orderly development of the enterprises is further ensured.
Although the present invention has been described with reference to specific embodiments, it will be understood by those skilled in the art that various changes and modifications may be made without departing from the spirit and scope of the invention.
Claims (9)
1. An enterprise management data information acquisition method is characterized by comprising the following steps:
s1: data collection, namely collecting relevant information of all departments inside an enterprise respectively, classifying and sorting the relevant information, and uploading the relevant information to an enterprise cloud database;
s2: data summarization, namely classifying and summarizing the collected information of each department and forming a current real-time data cache table;
s3: data comparison, namely analyzing and comparing the obtained current real-time data cache table with the data of the previous year to obtain various data information comparison record cache tables;
s4: data marking, namely grading and color marking are carried out on abnormal data in time if abnormal data occurs in the process of data comparison, and all abnormal data are summarized to obtain an abnormal data information cache table;
s5: data early warning, namely monitoring abnormal data according to the abnormal degree of each item of abnormal data, and sending early warning information to a background if the abnormal data are not processed and fed back for a long time;
s6: and data feedback, namely automatically caching all relevant data which send out early warning information to form an abnormal data information feedback record cache table, so that follow-up enterprise personnel can conveniently inquire and summarize.
2. The enterprise management data information gathering method as recited in claim 1, wherein: in S1, the recording and caching methods of the data are all expressed by percentages.
3. The enterprise management data information gathering method as recited in claim 1, wherein: in the step S1, in the process of collecting data information of each department, the types of the data information include, but are not limited to, basic data information of department personnel, department personnel flow data information, data information of financial expenditure and income in department stage, department file distribution and data information processing, and the like.
4. The enterprise management data information gathering method as recited in claim 1, wherein: in S2, the current real-time data cache table content includes, but is not limited to, department name, information data name, table generation time, table update time, and the like.
5. The enterprise management data information gathering method as recited in claim 1, wherein: in S3, the data information comparison record cache table content includes, but is not limited to, department name, abnormal information data name, table generation time, table update time, and the like.
6. The enterprise management data information gathering method as recited in claim 1, wherein: in the step S4, in the process of performing hierarchical marking on abnormal data, a standard value N of each item of data is determined, then deviation values of actual data of each item of data from the standard value N are calculated, and deviation percentages are obtained, the abnormal conditions are subjected to hierarchical processing according to the deviation percentages, and if the deviation percentages [1,1.5], a level i abnormality is defined; if the deviation percentage is [1.5,2], defining as class II abnormity; if the deviation percentage [2,3], defining as grade III abnormality; if the deviation percentage [3, ∞ ] is defined as class IV anomaly.
7. The enterprise management data information gathering method of claim 6, wherein: in S4, when the abnormal data is marked, the abnormal data is marked according to the abnormal level of the data, and if the data is in the normal range, the abnormal data is marked as green; if the data is in the I-level abnormity, marking the data as grey; if the data is in the second-level abnormity, marking the data into yellow; if the data is in the III-level abnormity, marking the data into light red; if the data is in a level IV exception, the data is marked with a deep red color.
8. The enterprise management data information gathering method of claim 6, wherein: in S5, when an early warning is given to abnormal data, different early warning information is given according to the abnormal level of the data, and if the data is in a level i abnormal state, level i early warning information is given (a person in charge directly belonging to a relevant department receives the early warning information); if the data is abnormal in level II, level II early warning information (the relevant department directly belongs to the responsible person and the regional general manager receives the early warning information); if the data is abnormal in level III, level III early warning information (the relevant department directly belongs to the responsible person, the regional responsible person and the responsible person of the enterprise headquarters receive the early warning information); and if the data is abnormal in the IV level, the early warning information of the IV level (all the enterprise leadership receives the early warning information).
9. The enterprise management data information gathering method as recited in claim 1, wherein: the current real-time data cache table is updated in real time, the data information comparison record cache table is updated once a week, the abnormal data information cache table is updated once a month, and the abnormal data information feedback record cache table is updated once a quarter.
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