CN115879748A - Enterprise informatization management integration platform based on big data - Google Patents
Enterprise informatization management integration platform based on big data Download PDFInfo
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Abstract
The invention belongs to the technical field of enterprise informatization management, and particularly relates to an enterprise informatization management integrated platform based on big data. The invention can evaluate the deviated data in the project data through the evaluation report, show the evaluation report, judge whether the information in the enterprise has the change condition related to the project in the process of the project according to the abnormal evaluation report, and accurately track the function department or the personnel in the enterprise which causes the project to be abnormal from the result fed back by the supervision module, thereby providing a powerful data support for the judgment of the manager of the enterprise while orderly integrating and distributing the information in the enterprise.
Description
Technical Field
The invention belongs to the technical field of enterprise informatization management, and particularly relates to an enterprise informatization management integrated platform based on big data.
Background
In the daily operation of an enterprise, a large amount of circulation data exists among functional departments, and the departments are relatively independent, so that the circulation of information in the enterprise is not timely, currently, with the rapid development of informatization technology, more and more enterprises are equipped with informatization management integration platforms to integrate the information in the enterprise,
the existing enterprise information management platform mostly tracks and positions the circulation and the trend of enterprise internal information, lacks the evaluation of project data in the daily operation of an enterprise, and often needs to set departments or personnel of a unit to check after project forward, which undoubtedly can lead the project forward cycle to be prolonged.
Disclosure of Invention
The invention aims to provide an enterprise informatization management integration platform based on big data, which can accurately judge whether the abnormity of a forward report or a flow report is related to changed data when the internal information of an enterprise is changed, and can find out a corresponding responsible person or a corresponding functional department when abnormal project data occur in the enterprise.
The technical scheme adopted by the invention is as follows:
the utility model provides an enterprise information management integration platform based on big data, includes basic data acquisition module, project code module, carry forward module, diagnosis module, evaluation module and supervision module, its characterized in that:
the basic data acquisition module is used for acquiring internal information of an enterprise, wherein the internal information of the enterprise at least comprises enterprise organization architecture information, enterprise business information and enterprise personnel information;
the project coding module is used for generating a project module corresponding to the internal information of the enterprise, wherein the project module at least comprises an organization unit, a business unit, a circulation unit and an information interaction unit;
the enterprise business management system comprises an organization unit, a business unit, a circulation unit and an information interaction unit, wherein the organization unit is used for constructing multi-level management authorities according to enterprise organization architecture information, the business unit is used for constructing a plurality of business processing areas according to enterprise business information, the circulation unit is used for constructing a data circulation channel according to the management authorities, and the information interaction unit is used for integrating the enterprise business information in the business processing areas;
the transfer module is used for transferring and storing the project task finished by the service unit and the flow task finished by the circulation unit and respectively marking the project task finished by the service unit and the flow task finished by the circulation unit as a transfer report and a flow report;
the diagnosis module is used for acquiring plan reports corresponding to the ending reports and the ending reports, comparing the plan reports with the ending reports and the ending reports to obtain deviation data, and summarizing the deviation data into a diagnosis report;
the evaluation module is used for judging the deviation degree of the deviation data according to the diagnosis report and generating a corresponding evaluation report according to the deviation degree;
the monitoring module is used for acquiring the change data of the internal information of the enterprise in real time, summarizing the change data into a comparison data set, and comparing the comparison data set with an evaluation report;
if so, indicating that the change data of the internal information of the enterprise is associated with the evaluation report, positioning change nodes of the change data of the internal information of the enterprise, and taking the change nodes as critical points to split the evaluation report into an original evaluation report and a change evaluation report;
if not, the change data of the internal information of the enterprise is not influenced on the evaluation report.
In a preferred scheme, the system further comprises a retrieval module, and the retrieval module is used for searching and searching the internal information of the enterprise according to the keywords.
In a preferred embodiment, the process of constructing the service processing area specifically includes the following steps:
acquiring enterprise business information, and performing classification processing to obtain a plurality of business storage sets, wherein the enterprise business information in each business storage set is independent;
constructing a plurality of mutually independent data channels, wherein each data channel corresponds to a service storage set;
acquiring repeated service information and a service storage set corresponding to the repeated service information, and calibrating the repeated service information and the service storage set into a shared data set;
constructing a unidirectional data channel between a shared data set and a corresponding service storage set, wherein the data flow direction in the unidirectional data channel is as follows: the shared data set stream is transferred to the business storage set.
In a preferred scheme, the project coding module further includes a project construction unit, and the project construction unit is configured to call project data from a service processing area according to enterprise service information, and construct the project data into a shared data area, where n is set as the shared data area, and a value of n is a positive integer;
acquiring all service departments which are mutually associated with the project data and calibrating the service departments as project demand departments;
acquiring project data required by each project demand department, and constructing a data interaction channel with the corresponding shared data area;
the data interaction channel comprises a unidirectional channel and a multidirectional channel.
In a preferred scheme, the deviation data comprises repeated data, missing data and differentiated data;
the repeated data is common data in the result report, the result report and the plan report;
the missing data is data missing from the result report and the result flow report relative to the plan report;
the differential data are newly added items in the result report and the result report;
wherein the evaluation priority of the missing data is higher than that of the differentiated data, and the evaluation priority of the differentiated data is higher than that of the repeated data.
In a preferred embodiment, the evaluation report includes a normal evaluation report and an abnormal evaluation report, and the specific details of the deviation data are determined from the diagnosis report when the evaluation module is executed;
acquiring the importance of the deviation data, and performing sequencing processing;
acquiring plan data corresponding to the deviation data, synchronously outputting deviation of the deviation data, and judging the health degree of the carry-over report and the carry-over report according to the value of the deviation;
if the value of the deviation is larger than or equal to zero, judging that the health degree of the carry-over report and the carry-over report is normal, and generating a normal evaluation report;
and if the value of the deviation is less than zero, judging that the health degree of the carry-over report and the carry-over report is abnormal, and calibrating the report to be an abnormal evaluation report.
In a preferred scheme, after the abnormal evaluation report is generated, acquiring a project department corresponding to deviation data from the abnormal evaluation report, and calibrating the project department as a to-be-evaluated department;
acquiring the change data of a department to be evaluated from the comparison data set;
if the department to be evaluated does not have the change data, the department to be evaluated is marked as an abnormal department;
if the department to be evaluated has the change data, synchronously acquiring the change node and calibrating the change node as the node to be evaluated;
and acquiring the project data under the node to be evaluated, inputting the project data into a trend evaluation model, outputting the trend of the project data, and judging whether the changed data has influence on an abnormal evaluation report according to the trend of the project data.
In a preferred embodiment, the specific process of determining whether the change data has an influence on the abnormal evaluation report according to the trend of the project data is as follows:
acquiring all historical project data before a node is changed from the abnormal evaluation report, and marking a time period before the node is changed as a time period to be evaluated;
equally dividing the time period to be evaluated into a plurality of sampling intervals, and acquiring historical item data in each sampling interval and independently summarizing the historical item data into a subset to be evaluated;
obtaining an evaluation function from the trend evaluation model;
inputting the historical project data of the sampling interval into an evaluation function to obtain a variation trend value of the project data;
acquiring previous state project data adjacent to the change node, performing combined operation with the change trend value, and outputting predicted project data;
if the predicted project data are consistent with the project data under the change node, judging that the change data have no influence on an abnormal evaluation report;
and if the predicted project data are inconsistent with the project data under the changed nodes, judging that the changed data are the dominant data of the abnormal evaluation report.
In a preferred scheme, after the variation trend value is output, the variation trend value is input into a verification model for verification;
acquiring a plurality of groups of adjacent historical project data from each sampling interval, and calibrating the historical project data into calibration data;
acquiring a check function from the check model, and inputting check data into the check function to obtain the accuracy of the check function;
obtaining a confidence evaluation threshold value, and comparing the confidence evaluation threshold value with the accuracy of the check function;
if the accuracy of the check function is greater than or equal to the confidence evaluation threshold, the change trend value can be used as a judgment condition of the trend of the project data;
if the accuracy of the check function is smaller than the confidence evaluation threshold, the change trend value is indicated to be incapable of being used as a judgment condition of the trend of the project data, and the change trend value of the project data is recalculated.
The invention also provides an enterprise informatization management terminal based on big data, which comprises the following components:
at least one processor;
and a memory communicatively coupled to the at least one processor;
wherein the memory stores a computer program executable by the at least one processor, the computer program being executable by the at least one processor to enable the at least one processor to execute the big data based enterprise information management integration platform described above.
The invention has the technical effects that:
the invention can evaluate the deviated data in the project data through the evaluation report and display the evaluation report, and can judge whether the information in the enterprise has the change condition related to the project in the process of the project through the supervision module aiming at the abnormal evaluation report, and the function department or the personnel in the enterprise causing the project to be abnormal can be accurately tracked according to the result fed back by the supervision module, thereby providing a powerful data support for the judgment of the manager of the enterprise while the information in the enterprise is orderly integrated and distributed.
Drawings
FIG. 1 is a block diagram of a system provided by an embodiment of the present invention;
fig. 2 is a flow chart of the system implementation provided by the embodiment of the invention.
Detailed Description
In order to make the aforementioned objects, features and advantages of the present invention comprehensible, embodiments accompanied with figures are described in detail below.
In the following description, numerous specific details are set forth in order to provide a thorough understanding of the present invention, but the present invention may be practiced in other ways than those specifically described and will be readily apparent to those of ordinary skill in the art without departing from the spirit of the present invention, and therefore the present invention is not limited to the specific embodiments disclosed below.
Furthermore, reference herein to "one embodiment" or "an embodiment" means that a particular feature, structure, or characteristic described in connection with the embodiment is included in at least one implementation of the invention. The appearances of the phrase "in one preferred embodiment" 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.
Referring to fig. 1 and fig. 2, the present invention provides an enterprise information management integrated platform based on big data, which includes a basic data acquisition module, a project coding module, a forward module, a diagnosis module, an evaluation module, and a supervision module;
the basic data acquisition module is used for acquiring internal information of the enterprise, wherein the internal information of the enterprise at least comprises enterprise organization architecture information, enterprise business information and enterprise personnel information;
the project coding module is used for generating a project module corresponding to the internal information of the enterprise, wherein the project module at least comprises an organization unit, a business unit, a circulation unit and an information interaction unit;
the enterprise business management system comprises an organization unit, a business unit, a circulation unit and an information interaction unit, wherein the organization unit is used for constructing multi-level management authorities according to enterprise organization architecture information, the business unit is used for constructing a plurality of business processing areas according to enterprise business information, the circulation unit is used for constructing a data circulation channel according to the management authorities, and the information interaction unit is used for integrating shared information in the business processing areas;
the system comprises a forward module, a return module and a flow module, wherein the forward module is used for forwarding and storing a project task finished by a service unit and a flow task finished by the flow unit, and respectively marking the project task finished by the service unit and the flow task finished by the flow unit as a forward report and a flow report;
the diagnosis module is used for acquiring plan reports corresponding to the result reports and the result reports, comparing the plan reports with the result reports and the result reports to obtain deviation data, and summarizing the deviation data into a diagnosis report;
the evaluation module is used for judging the deviation degree of the deviation data according to the diagnosis report and generating a corresponding evaluation report according to the deviation degree;
the monitoring module is used for acquiring the change data of the internal information of the enterprise in real time, summarizing the change data into a comparison data set, and comparing the comparison data set with the evaluation report;
if so, indicating that the change data of the internal information of the enterprise is associated with the evaluation report, positioning change nodes of the change data of the internal information of the enterprise, and taking the change nodes as critical points to split the evaluation report into an original evaluation report and a change evaluation report;
if not, the change data of the internal information of the enterprise is not influenced on the evaluation report.
As described above, in the daily operation of an enterprise, the internal information of the enterprise is constantly in a changing state, wherein the generated project information is constantly in a circulation state for the operation of the enterprise, in order to ensure the confidentiality of the project information, project data related to the project information can be acquired for functional departments related to the project information, the project data are relatively confidential for unrelated functional departments, in order to avoid the leakage of the project data during the circulation process and track the circulation dynamics of the project data in real time, along with the development of the informatization technology, an information management platform of the enterprise becomes one of necessary tools for managing the project data of the enterprise, the information management platform of the enterprise provided by the scheme firstly generates a corresponding organization structure according to the internal information of the enterprise, and further facilitates the subsequent distribution of management authority to the internal personnel of the enterprise, at the same time, the project data of the enterprise are integrated by using a project coding module, and a corresponding data channel is constructed according to the requirements of the functional departments, because the operation condition and the operation service of the enterprise are different, the internal project data channels are integrated by using the project coding module, and the search module can also can be used for providing a plurality of diagnosis and diagnosis report for the internal information sharing after the search module is established, and the search module can be used for the search module to provide a plurality of the search results of the report of the enterprise, whether the difference exists between the enterprise information and the plan report is judged, the existing difference is finally evaluated through the evaluation report, the evaluation report is displayed, for the abnormal evaluation report, whether the change condition related to the project occurs in the information in the enterprise in the project process can be judged through the supervision module, the functional department causing the project to be abnormal or the personnel in the enterprise can be accurately tracked according to the result fed back by the supervision module, the information in the enterprise is orderly integrated and distributed, meanwhile, a powerful data support can be provided for the judgment of a manager of the enterprise, after the change node is determined, the change report is correspondingly analyzed, the specific process is consistent with the evaluation process of the abnormal evaluation report, and repeated description is omitted.
In a preferred embodiment, the process of constructing the service processing area specifically includes the following steps:
s1, acquiring enterprise business information, and performing classification processing to obtain a plurality of business storage sets, wherein the enterprise business information in each business storage set is independent;
s2, constructing a plurality of mutually independent data channels, wherein each data channel corresponds to a service storage set;
s3, acquiring repeated service information and a service storage set corresponding to the repeated service information, and calibrating the service storage set into a shared data set;
s4, a unidirectional data channel is constructed between the shared data set and the corresponding service storage set, wherein the data flow direction in the unidirectional data channel is as follows: the shared data set stream is transferred to the business storage set.
As described in the foregoing steps S1 to S4, generally, a plurality of functional departments exist in a business inside an enterprise, and the business in charge of each functional department is also different, so that data required for daily operation of each functional department is also independent from each other, and certainly, business contact also exists between the functional departments, which undoubtedly results in commonly required data, and based on this, the commonly required data is calibrated as a shared data set, and on the premise of avoiding data islanding, the redundancy of the data can be reduced, and when the data are circulated, a data unidirectional data channel is constructed according to the requirements of each functional department, that is, only required data can be called, and no project information can be fed back to other departments through the channel, so as to ensure the confidentiality of the data between each functional department, and certainly, when the data are required to be supplemented to the shared data set, a technical department or a third party needs to be contacted for supervision, so as to further enhance the confidentiality of the data.
In a preferred embodiment, the project coding module further includes a project construction unit, where the project construction unit is configured to call project data from the service processing area according to the enterprise service information, and construct the project data as a shared data area, where n is set as n shared data areas, and a value of n is a positive integer;
acquiring all business departments which are mutually associated with the project data, and calibrating the business departments as project demand departments;
acquiring project data required by each project demand department, and constructing a data interaction channel with the corresponding shared data area;
the data interaction channel comprises a unidirectional channel and a multidirectional channel.
In the embodiment, after the project is determined, a shared data area is constructed according to data required by the project execution, the purpose is to provide a piece of pre-data support for the project execution, the project execution is ensured to be stable, meanwhile, for the functional departments associated with the project, a unidirectional channel and a multidirectional channel are constructed in the shared data area and the functional departments according to the departments respectively responsible for the functional departments, the unidirectional channel is set to provide data support for the functional departments, the multidirectional channel is a channel for providing data circulation among the functional departments, the shared data area and other associated departments, based on the above, the pre-processing of project information can be completed, and the data circulation of the project in the execution process can be ensured to be tracked.
In a preferred embodiment, the deviating data includes duplicate data, missing data, and differentiated data;
repeating data to be common data in the result report, the result report and the plan report;
the missing data is data missing from the results report and the results flow report relative to the plan report;
the differential data are newly added items in the ending report and the ending report;
the evaluation priority of the missing data is higher than that of the differentiated data, and the evaluation priority of the differentiated data is higher than that of the repeated data.
In this embodiment, after the end item report and the end flow report are generated, both the end item report and the end flow report need to be compared with the plan report, so that the completion degree after the execution of the project can be definitely obtained, in this process, data which is identical to the plan report but has a difference exists, in this embodiment, the end item report and the end flow report are calibrated to be repeated data, data which is missing with respect to the plan report is calibrated to be missing data, data which is newly added with respect to the plan report is calibrated to be differentiated data, and based on experience of the execution of the project, the probability of the missing data affecting the execution of the project is higher, so that the evaluation priority of the missing data is set to be the highest.
In a preferred embodiment, the evaluation report includes a normal evaluation report and an abnormal evaluation report, and the specific detail of the deviation data is determined from the diagnosis report when the evaluation module is executed;
acquiring the importance of the deviation data, and performing sequencing processing;
acquiring plan data corresponding to the deviation data, synchronously outputting deviation of the deviation data, and judging the health degree of a transfer-stopping report and a flow-stopping report according to the value of the deviation;
if the value of the deviation is greater than or equal to zero, judging that the health degree of the forward report and the backward report is normal, and generating a normal evaluation report;
and if the value of the deviation is less than zero, judging that the health degree of the carry-over report and the carry-over report is abnormal, and calibrating the health degree as an abnormal evaluation report.
As described above, when it is determined that there is deviation data between the plan report and the carry-over report or the carry-over report, the specific details (the repeated data < the differentiated data < the missing data) in the deviation data are sorted according to the above method, and then the evaluation is performed step by step, for the text data, an evaluation interval can be set, and converted into a digitized score, and then compared with the plan data in the plan report, and finally the health status of the carry-over report and the carry-over report can be determined according to the value of the deviation, and the normal evaluation report and the abnormal evaluation report can be output correspondingly.
In a preferred embodiment, after the abnormal evaluation report is generated, acquiring a project department corresponding to the deviation data from the abnormal evaluation report, and calibrating the project department as a to-be-evaluated department;
acquiring the change data of a department to be evaluated from the comparison data set;
if the department to be evaluated does not have the changed data, the department to be evaluated is marked as an abnormal department;
if the variable data exist in the department to be evaluated, synchronously acquiring the variable nodes and calibrating the variable nodes as the nodes to be evaluated;
and acquiring project data under the node to be evaluated, inputting the project data into the trend evaluation model, outputting the trend of the project data, and judging whether the changed data has influence on the abnormal evaluation report according to the trend of the project data.
In the embodiment, after the abnormal evaluation report is generated, the change information inside the enterprise is obtained through the supervision module, whether the change information is associated with the project department or not is determined, if the association phenomenon does not exist, it is indicated that the project department corresponding to the deviated data in the abnormal evaluation report is abnormal, the abnormal project department is marked as the abnormal department, and then the operation condition of the department is evaluated according to the deviated data.
In a preferred embodiment, the specific process of determining whether the changed data has an influence on the abnormal evaluation report according to the trend of the project data is as follows:
stp1, acquiring all historical project data before a changed node from an abnormal evaluation report, and calibrating a time period before the changed node as a time period to be evaluated;
stp2, equally dividing the time period to be evaluated into a plurality of sampling intervals, and acquiring historical item data in each sampling interval and independently summarizing the historical item data into a subset to be evaluated;
stp3, obtaining an evaluation function from a trend evaluation model;
stp4, inputting historical item data of the sampling interval into an evaluation function to obtain a change trend value of the item data;
stp5, acquiring previous state item data adjacent to the changed node, performing combined operation with the change trend value, and outputting predicted item data;
if the predicted project data are consistent with the project data under the change node, judging that the change data have no influence on the abnormal evaluation report;
and if the predicted item data is not consistent with the item data under the changed node, judging that the changed data is the dominant data of the abnormal evaluation report.
As described in the above steps Stp1 to Stp5, when performing trend analysis, the trend analysis is performed based on historical project data, in the present embodiment, a required time period to be evaluated is constructed according to a change node, and the project data of the time period to be evaluated is subjected to partition analysis, so as to ensure the accuracy of a trend analysis result, where an evaluation function in a trend model is:
in, is greater than or equal to>
Represents a trend value of the change of the item data, and->
，
Indicating the length of the time interval of the sampling interval>
，/>
Representing a quantity of project data that participates in a trend operation>
，/>
The item data is represented, it should be noted here that, according to different sampling intervals, the fluctuation of the item data inside may not be consistent, in order to ensure the accuracy of the calculation result of the variation trend value, it may be selectively eliminated when inputting the variation trend value into the evaluation function, of course, a fluctuation threshold value may also be preset, so as to achieve the purpose of automatic screening, and then the summation operation is performed with the previous state item data as a reference, so as to determine the predicted item data under the variation node, and of course, when comparing with the actual item data under the variation node, an allowable deviation amount may also be set, so as to avoid the influence of a small amount of deviation on the judgment of the administrator.
In a preferred embodiment, the variation trend value is input into the verification model for verification after being output;
acquiring a plurality of groups of adjacent historical project data from each sampling interval, and calibrating the historical project data into calibration data;
acquiring a check function from the check model, and inputting check data into the check function to obtain the accuracy of the check function;
obtaining a confidence evaluation threshold value, and comparing the confidence evaluation threshold value with the accuracy of the check function;
if the accuracy of the check function is greater than or equal to the confidence evaluation threshold, the change trend value can be used as a judgment condition of the trend of the project data;
if the accuracy of the check function is smaller than the confidence evaluation threshold, the change trend value cannot be used as a judgment condition of the trend of the project data, and the change trend value of the project data is recalculated.
As described above, the verification of the trend values is performed based on known historical item data, specifically by evaluationThe function is performed, wherein the evaluation function is:
in, is greater than or equal to>
And &>
And counting the occupation ratio of the history item data meeting the formula to obtain the accuracy after the execution of the check function, further determining whether the change trend value can be used as a judgment condition for the trend of the item data, and continuously screening the history item data with larger fluctuation value until the change trend value meets the judgment condition under the condition that the change trend value does not meet the judgment condition.
The invention also provides an enterprise informatization management terminal based on big data, which is characterized in that: the method comprises the following steps:
at least one processor;
and a memory communicatively coupled to the at least one processor;
the storage stores a computer program executable by the at least one processor, and the computer program is executed by the at least one processor, so that the at least one processor can execute the big data-based enterprise information management integrated platform.
Those skilled in the art will appreciate that the enterprise informatization management terminal of the present invention may be specially designed and manufactured for the required purposes, or may also comprise known devices found in general purpose computers. These devices have stored therein computer programs or applications that are selectively activated or reconfigured. Such a computer program may be stored in a device (e.g., computer) readable medium, including, but not limited to, any type of disk including floppy disks, hard disks, optical disks, CD-ROMs, and magnetic-optical disks, ROMs (Read-Only memories), RAMs (Random access memories), EPROMs (Erasable Programmable Read-Only memories), EEPROMs (Electrically Erasable Programmable Read-Only memories), flash memories, magnetic cards, or optical cards, or any type of media suitable for storing electronic instructions, and each coupled to a bus. That is, a readable medium includes any medium that stores or transmits information in a form readable by a device (e.g., a computer).
It should be noted that, in this document, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, apparatus, article, or method 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, apparatus, article, or method. Without further limitation, an element defined by the phrase "comprising a … …" does not exclude the presence of another identical element in a process, apparatus, article, or method that comprises the element.
The foregoing is only a preferred embodiment of the present invention, and it should be noted that those skilled in the art can make various improvements and modifications without departing from the principle of the present invention, and these improvements and modifications should also be construed as the protection scope of the present invention. Structures, devices, and methods of operation not specifically described or illustrated herein are generally practiced in the art without specific recitation or limitation.
Claims (10)
1. The utility model provides an enterprise information management integration platform based on big data, includes basic data acquisition module, project code module, carry forward module, diagnosis module, evaluation module and supervision module, its characterized in that:
the basic data acquisition module is used for acquiring internal information of an enterprise, wherein the internal information of the enterprise at least comprises enterprise organization architecture information, enterprise business information and enterprise personnel information;
the project coding module is used for generating a project module corresponding to the internal information of the enterprise, wherein the project module at least comprises an organization unit, a business unit, a circulation unit and an information interaction unit;
the enterprise business management system comprises an organization unit, a business unit, a circulation unit and an information interaction unit, wherein the organization unit is used for constructing multi-level management authorities according to enterprise organization architecture information, the business unit is used for constructing a plurality of business processing areas according to enterprise business information, the circulation unit is used for constructing a data circulation channel according to the management authorities, and the information interaction unit is used for integrating the enterprise business information in the business processing areas;
the balance module is used for balancing and storing the project task finished by the service unit and the flow task finished by the circulation unit and respectively marking the project task finished by the balance report and the flow task finished by the circulation unit as a balance report and a flow report;
the diagnosis module is used for acquiring plan reports corresponding to the ending reports and the ending reports, comparing the plan reports with the ending reports and the ending reports to obtain deviation data, and summarizing the deviation data into a diagnosis report;
the evaluation module is used for judging the deviation degree of the deviation data according to the diagnosis report and generating a corresponding evaluation report according to the deviation degree;
the monitoring module is used for acquiring the change data of the internal information of the enterprise in real time, summarizing the change data into a comparison data set, and comparing the comparison data set with an evaluation report;
if so, indicating that the change data of the internal information of the enterprise is associated with the evaluation report, positioning change nodes of the change data of the internal information of the enterprise, and taking the change nodes as critical points to split the evaluation report into an original evaluation report and a change evaluation report;
if not, the change data of the internal information of the enterprise is not influenced on the evaluation report.
2. The big-data-based enterprise informatization management integration platform according to claim 1, wherein: the enterprise information retrieval system further comprises a retrieval module, and the retrieval module is used for searching and retrieving enterprise internal information according to the keywords.
3. The big-data-based enterprise informatization management integration platform according to claim 1, wherein: the process of constructing the service processing area specifically comprises the following steps:
acquiring enterprise business information, and performing classification processing to obtain a plurality of business storage sets, wherein the enterprise business information in each business storage set is independent;
constructing a plurality of mutually independent data channels, wherein each data channel corresponds to a service storage set;
acquiring repeated service information and a service storage set corresponding to the repeated service information, and calibrating the repeated service information and the service storage set into a shared data set;
constructing a unidirectional data channel between a shared data set and a corresponding service storage set, wherein the data flow direction in the unidirectional data channel is as follows: the shared data set stream is transferred to the service storage set.
4. The big-data-based enterprise informatization management integration platform according to claim 3, wherein: the project coding module also comprises a project construction unit, wherein the project construction unit is used for calling project data from the service processing area according to enterprise service information and constructing the project data into a shared data area, the number of the shared data area is n, and the value of n is a positive integer;
acquiring all service departments which are mutually associated with the project data and calibrating the service departments as project demand departments;
acquiring project data required by each project demand department, and constructing a data interaction channel with the corresponding shared data area;
the data interaction channel comprises a unidirectional channel and a multidirectional channel.
5. The big-data-based enterprise informatization management integration platform according to claim 1, wherein: the deviation data comprises repeated data, missing data and differentiated data;
the repeated data is common data in the result report, the result report and the plan report;
the missing data is data missing from the results report and the results flow report relative to the plan report;
the differential data are newly added items in the result report and the result report;
wherein the evaluation priority of the missing data is higher than that of the differentiated data, and the evaluation priority of the differentiated data is higher than that of the repeated data.
6. The big-data-based enterprise informatization management integration platform according to claim 1, wherein: the assessment report comprises a normal assessment report and an abnormal assessment report, and when the assessment module executes, specific details of the deviation data are determined from the diagnosis report;
acquiring the importance of the deviation data, and performing sequencing processing;
acquiring plan data corresponding to the deviation data, synchronously outputting deviation of the deviation data, and judging the health degree of the carry-over report and the carry-over report according to the value of the deviation;
if the value of the deviation is larger than or equal to zero, judging that the health degree of the carry-over report and the carry-over report is normal, and generating a normal evaluation report;
and if the value of the deviation is less than zero, judging that the health degree of the carry-over report and the carry-over report is abnormal, and calibrating the report to be an abnormal evaluation report.
7. The big-data-based enterprise informatization management integration platform according to claim 6, wherein: after the abnormal evaluation report is generated, acquiring a project department corresponding to the deviation data from the abnormal evaluation report, and calibrating the project department as a to-be-evaluated department;
acquiring the change data of a department to be evaluated from the comparison data set;
if the department to be evaluated does not have the change data, the department to be evaluated is marked as an abnormal department;
if the department to be evaluated has the change data, synchronously acquiring the change node and calibrating the change node as the node to be evaluated;
and acquiring the project data under the node to be evaluated, inputting the project data into a trend evaluation model, outputting the trend of the project data, and judging whether the changed data has influence on an abnormal evaluation report according to the trend of the project data.
8. The big-data-based enterprise informatization management integration platform according to claim 7, wherein: the specific process of judging whether the changed data has influence on the abnormal evaluation report according to the trend of the project data is as follows:
acquiring all historical project data before a node is changed from the abnormal evaluation report, and marking a time period before the node is changed as a time period to be evaluated;
equally dividing the time period to be evaluated into a plurality of sampling intervals, and acquiring historical item data in each sampling interval and individually summarizing the historical item data into a subset to be evaluated;
obtaining an evaluation function from the trend evaluation model;
inputting the historical project data of the sampling interval into an evaluation function to obtain a variation trend value of the project data;
acquiring previous state project data adjacent to the change node, performing combined operation with the change trend value, and outputting predicted project data;
if the predicted project data are consistent with the project data under the changed nodes, judging that the changed data have no influence on an abnormal evaluation report;
and if the predicted project data is not consistent with the project data under the changed node, judging that the changed data is the dominant data of the abnormal evaluation report.
9. The big-data-based enterprise informatization management integration platform according to claim 8, wherein: after the variation trend value is output, inputting the variation trend value into a verification model for verification;
acquiring a plurality of groups of adjacent historical project data from each sampling interval, and calibrating the historical project data into calibration data;
acquiring a check function from the check model, and inputting check data into the check function to obtain the accuracy of the check function;
obtaining a confidence evaluation threshold value, and comparing the confidence evaluation threshold value with the accuracy of the check function;
if the accuracy of the check function is greater than or equal to the confidence evaluation threshold, the change trend value can be used as a judgment condition of the trend of the project data;
if the accuracy of the check function is smaller than the confidence evaluation threshold, the change trend value is indicated to be incapable of being used as a judgment condition of the trend of the project data, and the change trend value of the project data is recalculated.
10. The utility model provides an enterprise information-based management terminal based on big data which characterized in that: the method comprises the following steps:
at least one processor;
and a memory communicatively coupled to the at least one processor;
wherein the memory stores a computer program executable by the at least one processor to enable the at least one processor to execute the big data-based enterprise information management integration platform of any of claims 1-9.
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