CN117689349B - Office personnel-oriented enterprise data rapid splitting and sharing method - Google Patents
Office personnel-oriented enterprise data rapid splitting and sharing method Download PDFInfo
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Abstract
The invention discloses a method for rapidly splitting and sharing enterprise data for office workers, relates to the technical field of enterprise data sharing, and solves the technical problems that in the prior art, data cannot be divided after data acquisition is completed and authority setting cannot be performed for divided data; and the authority setting analysis is performed, the divided enterprise data is subjected to authority division according to the corresponding enterprise access requirements, the service efficiency of the enterprise data is further improved, the probability that the enterprise data is occupied at the same time is avoided, and the enterprise data access efficiency is improved to the greatest extent.
Description
Technical Field
The invention relates to the technical field of enterprise data sharing, in particular to a method for rapidly splitting and sharing enterprise data for office workers.
Background
The statistics machine account is an account book for carrying out system registration, accumulation and summarization statistics on scattered original record data according to a specified index and time sequence by using a certain form according to the requirements of filling a statistics report form and statistics accounting work, and is an important basis of the statistics work; post responsibility standing accounting: each post work is a standing book for continuously updating and maintaining the post, and the standing book is a gripper which is standardized in enterprise work and can be used for quantifying staff work results, and is more a reserved for post experience accumulation and transmission.
However, in the prior art, the enterprise ledger data cannot carry out feasibility assessment on the type of the combined data in the acquisition process, meanwhile, data division cannot be carried out after data acquisition is completed, authority setting cannot be carried out on the divided data, so that the safety of the enterprise ledger data is reduced, and the use efficiency of the enterprise ledger data is influenced.
In view of the above technical drawbacks, a solution is now proposed.
Disclosure of Invention
The invention aims to solve the problems and provides a method for quickly splitting and sharing enterprise data for office workers.
The aim of the invention can be achieved by the following technical scheme:
an office personnel-oriented enterprise data rapid splitting and sharing method comprises the following steps:
step one, enterprise data acquisition, namely acquiring enterprise data and carrying out feasibility assessment on an acquisition process so as to judge the feasibility of current enterprise data acquisition;
dividing enterprise data, namely dividing the enterprise data acquired in real time according to set dividing requirements, and improving the use efficiency of the enterprise data through enterprise data division;
thirdly, authority setting analysis is carried out, authority division is carried out on the divided enterprise data according to the corresponding enterprise access requirements, and the service efficiency of the enterprise data is further improved;
in the second step, the specific process of enterprise data division is as follows:
setting division requirement data aiming at enterprise data types, wherein the division requirement data is expressed as parameters such as data types, data volume and the like in the enterprise data, and dividing the enterprise data into i pieces of sub data according to the corresponding types; acquiring deviation values of data values of the same type corresponding to the sub-data and the division requirement data of the enterprise data, acquiring the sub-data type and the inner data type of the enterprise data in real time, and analyzing the deviation values of the data values of the same type corresponding to the sub-data and the division requirement data of the enterprise data, and acquiring the sub-data type and the inner data type of the enterprise data in real time;
if the sub-data types in the enterprise data are collected in real time and the deviation value of the sub-data corresponding to the data values of the same type in the enterprise data and the division requirement data does not exceed the set deviation value threshold value, dividing the sub-data corresponding to the currently collected enterprise data into the same division area data, and dividing according to the types of all the sub-data in the same division area data; if the sub-data types in the enterprise data are not consistent with the data types in the enterprise data or the deviation value of the sub-data corresponding to the data values of the same type in the enterprise data and the division requirement data exceeds a set deviation value threshold, dividing the sub-data corresponding to the currently acquired enterprise data into non-identical division area data, dividing the sub-data into areas according to each sub-data in the non-identical division area data, and supplementing storage data according to analysis of the real-time acquired enterprise data after the division.
As a preferred embodiment of the present invention, the step one enterprise data collection is specifically as follows:
collecting enterprise data of an enterprise to be collected, wherein the enterprise data are expressed as various data generated in the enterprise operation process, such as parameters of an enterprise account and the like; and acquiring the non-overlapping period time length of the enterprise data value updating period and the data acquisition period in the enterprise data real-time acquisition process of the enterprise to be acquired and the data type number ratio of the constant frequency in the enterprise data acquisition process exceeding a set threshold, and comparing the non-overlapping period time length of the enterprise data value updating period and the data acquisition period in the enterprise data real-time acquisition process of the enterprise to be acquired and the data type number ratio of the constant frequency in the enterprise data acquisition process exceeding the set threshold with the non-overlapping period time length threshold and the data type number ratio threshold respectively.
As a preferred implementation manner of the invention, if the non-overlapping period duration of the enterprise data value updating period and the data collecting period exceeds the non-overlapping period duration threshold in the real-time enterprise data collecting process of the enterprise to be collected or the data type number ratio of the constant frequency of the data value exceeds the set threshold exceeds the data type number ratio threshold in the enterprise data collecting process, judging that the current enterprise data collection is at risk, generating a collection adjusting signal and transmitting the collection adjusting signal to an administrator, and the administrator sets the collection period for the enterprise data type framework;
if the non-overlapping period duration of the enterprise data value updating period and the data collecting period in the enterprise data real-time collecting process of the enterprise to be collected does not exceed the non-overlapping period duration threshold, and the data type number ratio of the constant frequency of the data value exceeding the set threshold in the enterprise data collecting process does not exceed the data type number ratio threshold, judging that the current enterprise data collection is not at risk, generating a collection continuing signal and transferring to an administrator.
As a preferred embodiment of the invention, the authority setting analysis in the step three comprises the following specific processes:
setting authority of the same division area data after division, setting a data access department as a data demand end, setting a reference number o, o as a natural number larger than 1, acquiring continuous demand access frequency of the sub-data corresponding to the data demand end in the same division area data and the number of running data floating types of the department to which the data demand end belongs when the sub-data corresponding to the same division area data floats in the continuous demand access process of the data demand end, and comparing the continuous demand access frequency of the sub-data corresponding to the data demand end in the same division area data and the number of running data floating types of the department to which the data demand end belongs when the sub-data corresponding to the same division area data floats in the continuous demand access process of the data demand end with a continuous demand access frequency threshold and a data floating type number threshold respectively.
As a preferred implementation manner of the invention, if the continuous demand access frequency of the sub-data corresponding to the data demand end in the same divided region data exceeds the continuous demand access frequency threshold, or if the running data floating type number of the department to which the data demand end belongs exceeds the data floating type number threshold when the sub-data corresponding to the data demand end floats in the continuous demand access process of the data demand end, the sub-data is used as high influence data of the current data demand end, the current data demand end is used as the permission grant end, the permission authentication flow is set, and the permission of the current data demand end is received when the data demand end except the current data demand end accesses after the setting is completed;
if the continuous demand access frequency of the sub-data corresponding to the data demand end in the same divided area data does not exceed the continuous demand access frequency threshold, and the running data floating type number of the department to which the data demand end belongs does not exceed the data floating type number threshold when the sub-data corresponding to the data demand end floats in the continuous demand access process of the data demand end, the sub-data is used as low influence data of the current data demand end, and the current data demand end is used as an accessible terminal of the sub-data.
Compared with the prior art, the invention has the beneficial effects that:
in the invention, the enterprise data is collected and the feasibility evaluation is carried out on the collection process, so that the feasibility of the current enterprise data collection is judged, and the unnecessary cost increase caused by the reduction of the working efficiency of data splitting and authority setting due to the low availability of the data after the collection is completed is avoided; the enterprise data acquired in real time is divided according to the set dividing requirement, the high efficiency of enterprise data use is improved through enterprise data division, the high efficiency of enterprise data use is ensured, and meanwhile, the enterprise data searching and debugging cost can be reduced; and the enterprise data subjected to division is subjected to authority division according to the corresponding enterprise access requirements, so that the service efficiency of the enterprise data is further improved, the probability that the enterprise data is occupied at the same time is avoided, and the enterprise data access efficiency is improved to the greatest extent.
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The present invention is further described below with reference to the accompanying drawings for the convenience of understanding by those skilled in the art.
FIG. 1 is a flow chart of the method of the present invention.
Detailed Description
In order that those skilled in the art will better understand the present invention, a technical solution in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in which it is apparent that the described embodiments are only some embodiments of the present invention, not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
Reference herein to "an embodiment" means that a particular feature, structure, or characteristic described in connection with the embodiment may be included in at least one embodiment of the invention. The appearances of such phrases in various places in the specification are not necessarily all referring to the same embodiment, nor are separate or alternative embodiments mutually exclusive of other embodiments. Those of skill in the art will explicitly and implicitly appreciate that the embodiments described herein may be combined with other embodiments.
Referring to fig. 1, a method for quickly splitting and sharing enterprise data for office staff includes the following steps:
step one, enterprise data acquisition, namely acquiring enterprise data and carrying out feasibility assessment on an acquisition process, so as to judge the feasibility of current enterprise data acquisition, and avoid the problem that the working efficiency of data splitting and authority setting is reduced and unnecessary cost is increased due to low availability of the acquired data;
dividing enterprise data, namely dividing the enterprise data acquired in real time according to set dividing requirements, and improving the use efficiency of the enterprise data through enterprise data division, so that the enterprise data searching and debugging cost can be reduced while the use efficiency of the enterprise data is ensured;
thirdly, authority setting analysis is carried out, the divided enterprise data are subjected to authority division according to the corresponding enterprise access requirements, the service efficiency of the enterprise data is further improved, the probability that the enterprise data are occupied at the same time is avoided, and the enterprise data access efficiency is improved to the greatest extent;
the specific process of enterprise data acquisition is as follows:
collecting enterprise data of an enterprise to be collected, wherein the enterprise data are expressed as various data generated in the enterprise operation process, such as parameters of an enterprise account and the like; acquiring a non-overlapping period duration of an enterprise data value updating period and a data acquisition period in a real-time enterprise data acquisition process of an enterprise to be acquired and a data type number ratio of a constant frequency in the enterprise data acquisition process exceeding a set threshold, and comparing the non-overlapping period duration of the enterprise data value updating period and the data acquisition period in the enterprise data real-time acquisition process of the enterprise to be acquired and the data type number ratio of the constant frequency in the enterprise data acquisition process exceeding the set threshold with the non-overlapping period duration threshold and the data type number ratio threshold respectively:
if the non-overlapping period time length of the enterprise data value updating period and the data collecting period exceeds the non-overlapping period time length threshold in the enterprise data real-time collecting process of the enterprise to be collected or the data type number ratio of the constant frequency in the enterprise data collecting process exceeds the set threshold exceeds the data type number ratio threshold, judging that the current enterprise data collection is at risk, generating a collection adjusting signal and transferring to an administrator, and setting the collection period by the administrator according to the enterprise data type framework;
if the non-overlapping period duration of the enterprise data value updating period and the data collecting period in the enterprise data real-time collecting process of the enterprise to be collected does not exceed the non-overlapping period duration threshold, and the data type number ratio of the constant frequency of the data in the enterprise data collecting process exceeds the set threshold does not exceed the data type number ratio threshold, judging that the current enterprise data collection is not at risk, generating a collection continuing signal and transferring to an administrator;
in the second step, the specific process of enterprise data division is as follows:
setting division requirement data aiming at enterprise data types, wherein the division requirement data is expressed as parameters such as data types, data volume and the like in the enterprise data, and dividing the enterprise data into i pieces of sub data according to the corresponding types; acquiring a deviation value of the data values of the sub-data and the partition requirement data of the same type corresponding to the enterprise data, acquiring the sub-data type and the inner data type of the enterprise data in real time, and analyzing the deviation value of the data values of the sub-data and the partition requirement data of the same type corresponding to the enterprise data, and acquiring the sub-data type and the inner data type of the enterprise data in real time:
if the sub-data types in the enterprise data are collected in real time and the deviation value of the sub-data corresponding to the data values of the same type in the enterprise data and the division requirement data does not exceed the set deviation value threshold value, dividing the sub-data corresponding to the currently collected enterprise data into the same division area data, and dividing according to the types of all the sub-data in the same division area data;
if the sub-data type in the enterprise data is inconsistent with the data type in the enterprise data or the deviation value of the sub-data corresponding to the same type of data value of the enterprise data and the division requirement data exceeds a set deviation value threshold, dividing the sub-data corresponding to the currently acquired enterprise data into non-identical division area data, dividing the sub-data into areas according to each sub-data in the non-identical division area data, and supplementing storage data according to analysis of the real-time acquired enterprise data after the division;
in the third step, the specific process of authority setting analysis is as follows:
setting authority of the same division area data which is completed to be divided, setting a data access department as a data demand end, setting a reference number o, o as a natural number which is larger than 1, acquiring continuous demand access frequency of a sub-data corresponding to the data demand end in the same division area data and the number of running data floating types of departments to which the data demand end belongs when the sub-data corresponding to the same division area data floats in the continuous demand access process of the data demand end, and comparing the continuous demand access frequency of the sub-data corresponding to the data demand end in the same division area data and the number of running data floating types of departments to which the data demand end belongs when the sub-data corresponding to the same division area data floats in the continuous demand access process of the data demand end with a continuous demand access frequency threshold and a data floating type number threshold respectively: the department operation data is represented as data generated in the department operation process, such as parameters of department cost and the like, reflects the influence of sub-data and the department operation data, and is used as one of the basis of authority division;
if the continuous demand access frequency of the sub-data corresponding to the data demand end in the same divided area data exceeds the continuous demand access frequency threshold, or the running data floating type number of the department to which the data demand end belongs exceeds the data floating type number threshold when the sub-data corresponding to the data demand end floats in the continuous demand access process of the data demand end, taking the sub-data as high influence data of the current data demand end, taking the current data demand end as a permission grant end, setting a permission authentication flow, and receiving permission of the current data demand end when the data demand end except the current data demand end accesses after the setting is completed;
if the continuous demand access frequency of the sub-data corresponding to the data demand end in the same divided area data does not exceed the continuous demand access frequency threshold, and the running data floating type number of the department to which the data demand end belongs does not exceed the data floating type number threshold when the sub-data corresponding to the data demand end floats in the continuous demand access process of the data demand end, taking the sub-data as low influence data of the current data demand end, and taking the current data demand end as an accessible terminal of the sub-data;
when the invention is used, the enterprise data is acquired, and the feasibility of the acquisition process is evaluated, so that the feasibility of the current enterprise data acquisition is judged; enterprise data division, namely dividing enterprise data acquired in real time according to set division requirements, and improving the use efficiency of the enterprise data through enterprise data division; and performing authority setting analysis, namely performing authority division on the divided enterprise data according to the corresponding enterprise access requirements, and further improving the service efficiency of the enterprise data.
The preferred embodiments of the invention disclosed above are intended only to assist in the explanation of the invention. The preferred embodiments are not intended to be exhaustive or to limit the invention to the precise form disclosed. Obviously, many modifications and variations are possible in light of the above teaching. The embodiments were chosen and described in order to best explain the principles of the invention and the practical application, to thereby enable others skilled in the art to best understand and utilize the invention. The invention is limited only by the claims and the full scope and equivalents thereof.
Claims (1)
1. The method for rapidly splitting and sharing the enterprise data facing the office staff is characterized by comprising the following steps of:
step one, enterprise data acquisition, namely acquiring enterprise data and carrying out feasibility assessment on an acquisition process so as to judge the feasibility of current enterprise data acquisition;
dividing enterprise data, namely dividing the enterprise data acquired in real time according to set dividing requirements, and improving the use efficiency of the enterprise data through enterprise data division;
thirdly, authority setting analysis is carried out, authority division is carried out on the divided enterprise data according to the corresponding enterprise access requirements, and the service efficiency of the enterprise data is further improved;
the specific process of enterprise data acquisition is as follows:
collecting enterprise data of an enterprise to be collected, wherein the enterprise data are expressed as various data generated in the enterprise operation process; acquiring a non-overlapping period duration of an enterprise data value updating period and a data acquisition period in a real-time enterprise data acquisition process of an enterprise to be acquired and a data type number ratio of a constant frequency in the enterprise data acquisition process exceeding a set threshold, and comparing the non-overlapping period duration of the enterprise data value updating period and the data acquisition period in the enterprise data real-time acquisition process of the enterprise to be acquired and the data type number ratio of the constant frequency in the enterprise data acquisition process exceeding the set threshold with the non-overlapping period duration threshold and the data type number ratio threshold respectively:
if the non-overlapping period time length of the enterprise data value updating period and the data collecting period exceeds the non-overlapping period time length threshold in the enterprise data real-time collecting process of the enterprise to be collected or the data type number ratio of the constant frequency in the enterprise data collecting process exceeds the set threshold exceeds the data type number ratio threshold, judging that the current enterprise data collection is at risk, generating a collection adjusting signal and transferring to an administrator, and setting the collection period by the administrator according to the enterprise data type framework;
if the non-overlapping period duration of the enterprise data value updating period and the data collecting period in the enterprise data real-time collecting process of the enterprise to be collected does not exceed the non-overlapping period duration threshold, and the data type number ratio of the constant frequency of the data in the enterprise data collecting process exceeds the set threshold does not exceed the data type number ratio threshold, judging that the current enterprise data collection is not at risk, generating a collection continuing signal and transferring to an administrator;
in the second step, the specific process of enterprise data division is as follows:
setting division requirement data for enterprise data types, and dividing the enterprise data into i pieces of sub data according to the corresponding types; acquiring deviation values of data values of the same type corresponding to the sub-data and the division requirement data of the enterprise data, acquiring the sub-data type and the inner data type of the enterprise data in real time, and analyzing the deviation values of the data values of the same type corresponding to the sub-data and the division requirement data of the enterprise data, and acquiring the sub-data type and the inner data type of the enterprise data in real time;
if the sub-data types in the enterprise data are collected in real time and the deviation value of the sub-data corresponding to the data values of the same type in the enterprise data and the division requirement data does not exceed the set deviation value threshold value, dividing the sub-data corresponding to the currently collected enterprise data into the same division area data, and dividing according to the types of all the sub-data in the same division area data; if the sub-data type in the enterprise data is inconsistent with the data type in the enterprise data or the deviation value of the sub-data corresponding to the same type of data value of the enterprise data and the division requirement data exceeds a set deviation value threshold, dividing the sub-data corresponding to the currently acquired enterprise data into non-identical division area data, dividing the sub-data into areas according to each sub-data in the non-identical division area data, and supplementing storage data according to analysis of the real-time acquired enterprise data after the division;
in the third step, the specific process of authority setting analysis is as follows:
setting authority of the same division area data which is completed to be divided, setting a data access department as a data demand end, setting a reference number o, o as a natural number which is larger than 1, acquiring continuous demand access frequency of a sub-data corresponding to the data demand end in the same division area data and the number of running data floating types of departments to which the data demand end belongs when the sub-data corresponding to the same division area data floats in the continuous demand access process of the data demand end, and comparing the continuous demand access frequency of the sub-data corresponding to the data demand end in the same division area data and the number of running data floating types of departments to which the data demand end belongs when the sub-data corresponding to the same division area data floats in the continuous demand access process of the data demand end with a continuous demand access frequency threshold and a data floating type number threshold respectively:
if the continuous demand access frequency of the sub-data corresponding to the data demand end in the same divided area data exceeds the continuous demand access frequency threshold, or the running data floating type number of the department to which the data demand end belongs exceeds the data floating type number threshold when the sub-data corresponding to the data demand end floats in the continuous demand access process of the data demand end, taking the sub-data as high influence data of the current data demand end, taking the current data demand end as a permission grant end, setting a permission authentication flow, and receiving permission of the current data demand end when the data demand end except the current data demand end accesses after the setting is completed;
if the continuous demand access frequency of the sub-data corresponding to the data demand end in the same divided area data does not exceed the continuous demand access frequency threshold, and the running data floating type number of the department to which the data demand end belongs does not exceed the data floating type number threshold when the sub-data corresponding to the data demand end floats in the continuous demand access process of the data demand end, the sub-data is used as low influence data of the current data demand end, and the current data demand end is used as an accessible terminal of the sub-data.
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