CN115879748B - Enterprise informatization management integrated platform based on big data - Google Patents
Enterprise informatization management integrated 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. According to the method, the deviation data existing in the project data can be evaluated through the evaluation report, the evaluation report is displayed, whether the information in the enterprise is related to the project or not can be judged through the supervision module according to the abnormal evaluation report, the result fed back by the supervision module can accurately track the functional department or personnel in the enterprise causing the project to be abnormal, and therefore powerful data support can be provided for the judgment of the manager of the enterprise while the information in the enterprise is orderly integrated and distributed.
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 enterprises, a large amount of circulation data exists among functional departments, and the departments are relatively independent, so that the information circulation inside the enterprises is not timely, and along with the rapid development of information technology, more and more enterprises are equipped with an information management integration platform so as to integrate the information inside the enterprises.
The existing enterprise informatization management platform is used for tracking and positioning the circulation and trend of the internal information of an enterprise, the evaluation of item data in the daily operation of the enterprise is lacking, departments or personnel of a set unit are always required to carry out verification after the item is turned, the item turning period is prolonged certainly, meanwhile, in the verification process, all functional departments are also required to be abutted one by one to participate in the data processed in the item process, but due to the possibility of fluctuation of the internal information of the enterprise, the evaluation report is abnormal, the phenomenon of abnormal factors cannot be traced, and obviously, the evaluation report is extremely unfavorable for the development of the enterprise, and based on the fact, the scheme provides the informatization integrated management platform capable of evaluating the fluctuation of the internal item information of the enterprise.
Disclosure of Invention
The invention aims to provide an enterprise informatization management integrated platform based on big data, which can accurately judge whether the abnormality of a junction item report or a junction flow report is related to the changed data when the information in an enterprise changes, and ensure that corresponding responsible persons or functional departments can be found when the abnormal item data in the enterprise appears.
The technical scheme adopted by the invention is as follows:
an enterprise informatization management integrated platform based on big data comprises a basic data acquisition module, an item coding module, a turning module, a diagnosis module, an evaluation module and a supervision module;
the basic data acquisition module is used for acquiring enterprise internal information, wherein the enterprise internal information at least comprises enterprise organization architecture information, enterprise service information and enterprise personnel information;
the project coding module is used for generating a project module corresponding to the enterprise internal information, wherein the project module at least comprises an organization unit, a business unit, a circulation unit and an information interaction unit;
the business unit is used for constructing a plurality of business processing areas according to the business information, the circulation unit is used for constructing a data circulation channel according to the management authority, and the information interaction unit is used for integrating the business information in the business processing areas;
the turning module is used for turning and storing project tasks ended by the business unit and flow tasks ended by the circulation unit, and respectively calibrating the project tasks and the flow tasks as a junction report and a junction report;
the diagnosis module is used for acquiring a plan report corresponding to the junction item report and the junction flow report, comparing the plan report with the junction item report and the junction flow report 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 supervision module is used for acquiring the change data of the enterprise internal information in real time, summarizing the change data into a comparison data set, and comparing the comparison data set with an evaluation report;
if yes, indicating that the change data of the enterprise internal information is related to the evaluation report, positioning a change node of the change data of the enterprise internal information, and dividing the evaluation report into an original evaluation report and a change evaluation report by taking the change node as a critical point;
if not, the change data of the enterprise internal information has no influence on the evaluation report.
In a preferred scheme, the system further comprises a retrieval module, wherein the retrieval module is used for searching and retrieving the enterprise internal information according to the keywords.
In a preferred scheme, the construction process of the service processing area is specifically as follows:
acquiring enterprise business information, classifying to obtain a plurality of business storage sets, wherein the enterprise business information in each business storage set is mutually 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 as a shared data set;
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 flows to the traffic storage set.
In a preferred scheme, the project coding module further comprises a project construction unit, wherein the project construction unit is used for calling project data from the business processing area according to the business information of the enterprise and constructing the project data into a shared data area, n shared data areas are arranged, and the value of n is a positive integer;
acquiring all business departments related to 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 a corresponding shared data area;
the data interaction channel comprises a unidirectional channel and a multidirectional channel.
In a preferred embodiment, the deviation data includes duplicate data, missing data, and differential data;
the repeated data is shared data between a junction report and between a plan report;
the missing data are the missing data of the junction item report and the junction flow report relative plan report;
the differential data are newly added items in a junction item report and a junction stream 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 a preferred embodiment, the assessment report includes a normal assessment report and an abnormal assessment report, and the specific details of the deviation data are determined from the diagnostic report when the assessment module is executing;
acquiring importance of the deviation data, and performing sorting processing;
acquiring plan data corresponding to the deviation data, synchronously outputting the deviation amount of the deviation data, and judging the health degree of the junction item report and the junction flow report according to the value of the deviation amount;
if the value of the deviation is greater than or equal to zero, judging that the health degree of the junction item report and the junction flow report is normal, and generating a normal evaluation report;
and if the value of the deviation is smaller than zero, judging that the health degree of the junction item report and the junction flow report is abnormal, and calibrating the abnormal report as an abnormal evaluation report.
In a preferred scheme, after the abnormal evaluation report is generated, acquiring project departments corresponding to the deviation data from the abnormal evaluation report, and calibrating the project departments as departments to be evaluated;
acquiring change data of departments to be evaluated from the comparison data set;
if the change data does not exist in the department to be evaluated, the department to be evaluated is marked as an abnormal department;
if the change data exists in the department to be evaluated, synchronously acquiring a 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 change 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 change node from the abnormal evaluation report, and calibrating a period before the change node as a 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 to be independently summarized into a subset to be evaluated;
acquiring 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 pre-state project data adjacent to the change node, carrying out combination operation with the change trend value, and outputting predicted project data;
if the predicted project data is consistent with project data under the change node, judging that the change data has no influence on the abnormal evaluation report;
and if the predicted project data is inconsistent with project data under the change node, judging that the change data is dominant data of an abnormal evaluation report.
In a preferred scheme, after the change trend value is output, the change 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 as verification data;
obtaining a check function from a check model, and inputting check data into the check function to obtain the accuracy of the check function;
acquiring 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 judging 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 unable to be used as a judging 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:
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 informatization management integration platform.
The invention has the technical effects that:
according to the invention, the deviation data existing in the project data can be evaluated through the evaluation report, the evaluation report is displayed, and aiming at the abnormal evaluation report, whether the information in the enterprise is related to the project or not can be judged through the supervision module in the project process, the result fed back by the supervision module can be accurately tracked to the functional department or personnel in the enterprise causing the project to be abnormal, so that the information in the enterprise is orderly integrated and distributed, and meanwhile, a powerful data support can be provided for the judgment of the manager of the enterprise.
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FIG. 1 is a system block diagram provided by an embodiment of the present invention;
FIG. 2 is a flow chart of system execution provided by an embodiment of the present invention.
Detailed Description
In order that the above-recited objects, features and advantages of the present invention will become more readily apparent, a more particular description of the invention will be rendered by reference to specific embodiments thereof which are illustrated in the appended drawings.
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 other than those described herein, and persons skilled in the art will readily appreciate that the present invention is not limited to the specific embodiments disclosed below.
Further, reference herein to "one embodiment" or "an embodiment" means that a particular feature, structure, or characteristic can be 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 2, the invention provides an enterprise informatization management integrated platform based on big data, which comprises a basic data acquisition module, an item coding module, a turning module, a diagnosis module, an evaluation module and a supervision module;
the basic data acquisition module is used for acquiring enterprise internal information, wherein the enterprise internal information at least comprises enterprise organization architecture information, enterprise service 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 system comprises an organization unit, a business unit, a data flow channel, an information interaction unit and a data flow channel, wherein the organization unit is used for constructing a multi-level management authority 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 flow unit is used for constructing a data flow channel according to the management authority, and the information interaction unit is used for integrating shared information in the business processing areas;
the transfer module is used for transferring and storing project tasks ended by the service unit and flow tasks ended by the circulation unit, and calibrating the project tasks as a junction report and a junction report respectively;
the diagnosis module is used for acquiring a plan report corresponding to the junction report and the junction report, comparing the plan report with the junction report and the junction report 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 supervision module is used for acquiring 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 yes, indicating that the change data of the enterprise internal information is related to the evaluation report, positioning a change node of the change data of the enterprise internal information, and dividing the evaluation report into an original evaluation report and a change evaluation report by taking the change node as a critical point;
if not, the change data of the enterprise internal information has no influence on the evaluation report.
As described above, in daily operation of an enterprise, the internal information of the enterprise is in a change state at all times, wherein, for the operation of the enterprise, the generated project information is also in a circulation state at all times, in order to ensure confidentiality of the project information, for functional departments related to the project information, the project data related to the project information can be acquired, for unrelated functional departments, the project data are relatively confidential, in order to avoid leakage of the project data in the circulation process, and track circulation dynamics of the project data in real time, along with development of the informatization technology, the enterprise information management platform provided by the scheme firstly generates a corresponding organization structure according to the internal information of the enterprise, thereby facilitating subsequent allocation of management rights for internal personnel of the enterprise, and simultaneously, the project coding module is utilized to integrate the project data in the enterprise, and according to requirements of each functional department, because the different conditions and operation services of each enterprise require the enterprise to participate in and allocate, the enterprise management personnel are not specifically limited, so that the internal project data do not need to be shared by the diagnostic modules in the circulation units, the information can be further provided by the integrated operation modules after the development of the information management platform, the diagnosis modules can be further provided by the integrated information module for the diagnosis and the information retrieval module according to the development of the information of the enterprise, the information management platform can be further completed by the development of a plurality of the critical modules, judging whether the difference exists between the project and the plan report, finally, evaluating the difference through the evaluation report, and displaying the evaluation report, wherein for the abnormal evaluation report, a supervision module is also used for judging whether the information in the enterprise is related to the project in the process of carrying out the project, and the result fed back by the supervision module can accurately track the functional department or personnel in the enterprise causing the project to be abnormal, so that when the information in the enterprise is orderly integrated and distributed, a powerful data support can be provided for the judgment of the manager of the enterprise, after the determination of the change node, the corresponding analysis is also carried out on the change report, the specific process of the change report is consistent with the evaluation process of the abnormal evaluation report, and repeated redundant description is omitted.
In a preferred embodiment, the process of constructing the service processing area is specifically as follows:
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 mutually 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 repeated service information as a shared data set;
s4, constructing a unidirectional data channel 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 flows to the traffic storage set.
As described in the above steps S1-S4, the business in the enterprise generally has multiple functional departments, the business in each functional department is different, so that the data required by daily operation of each functional department is independent, and certainly, business connection exists between the functional departments, which definitely has commonly required data, therefore, the commonly required data is marked as a shared data set, on the premise of avoiding data islands, the redundancy of the data can be reduced, and when the data is circulated, a data unidirectional data channel is constructed according to the requirement of each functional department, namely only the required data can be called, item information cannot be fed back to other departments through the channel, the confidentiality of the data between each functional department is ensured, and of course, when the data needs to be supplemented in the shared data set, the technical department or the third party department needs to be contacted for supervision, and the confidentiality of the data is further enhanced.
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 number of shared data areas are set, and n number of values is a positive integer;
acquiring all business departments related to 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 a corresponding shared data area;
the data interaction channel comprises a unidirectional channel and a multidirectional channel.
In this embodiment, after the project is determined, a shared data area is constructed according to the data required by the project in execution, so as to provide a support for pre-data for the project in execution, ensure the stability of the project in execution, and simultaneously, for the functional departments associated with the project, according to the departments responsible for each of the functional departments, construct a unidirectional channel and a multidirectional channel in the shared data area, where the unidirectional channel is set to provide data support for the functional departments, and the multidirectional channel is a channel for providing data circulation among the functional departments, the shared data area and other related departments, so that the pre-processing of the project information can be completed, and ensure that the circulation of the data in the execution process of the project can be determined as tracking.
In a preferred embodiment, the deviation data includes duplicate data, missing data, and differential data;
the repeated data is common data between the junction report and the junction flow report and the plan report;
the missing data is the missing data of the junction item report and the junction flow report relative to the plan report;
the differentiated data are new items in the junction item report and the junction stream 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 generation of the summary report and the summary report, the summary report and the summary report need to be compared with the plan report, so that the completion degree after the project execution is finished can be clearly obtained, in this process, data which is repeated with the plan report but has a difference is marked as repeated data, the missing data of the plan report is marked as missing data, the newly added data of the plan report is marked as differentiated data, and the probability that the missing data affects the project execution is greater based on the experience of the project execution, so that the evaluation priority is set to be the highest, and similarly, the evaluation priority of the differentiated data is set to be higher than the evaluation priority of the repeated data.
In a preferred embodiment, the assessment report includes a normal assessment report and an abnormal assessment report, and the specific details of the deviation data are determined from the diagnostic report when the assessment module is executing;
acquiring importance of the deviated data and performing sorting treatment;
acquiring plan data corresponding to the deviation data, synchronously outputting the deviation amount of the deviation data, and judging the health degree of the junction item report and the junction flow report according to the value of the deviation amount;
if the value of the deviation is greater than or equal to zero, judging that the health degree of the junction item report and the junction flow report is normal, and generating a normal evaluation report;
if the value of the deviation is smaller than zero, judging that the health degree of the junction item report and the health degree of the junction flow report are abnormal, and calibrating the abnormal report as an abnormal evaluation report.
When deviation data exists between the plan report and the junction report or between the plan report and the junction report, the specific details (repeated data < differentiated data < missing data) in the deviation data are ordered according to the mode, then the specific details are evaluated step by step, for text data, an evaluation interval can be set, the evaluation interval is converted into a digital score, the digital score is then compared with the plan data in the plan report, finally the health degree state of the junction report and the junction report can be determined according to the value of the deviation, and the normal evaluation report and the abnormal evaluation report can be correspondingly output.
In a preferred embodiment, after the abnormal evaluation report is generated, acquiring an item department corresponding to the deviation data from the abnormal evaluation report, and calibrating the item department as a department to be evaluated;
acquiring change data of departments to be evaluated from the comparison data set;
if the change data does not exist in the department to be evaluated, the department to be evaluated is marked as an abnormal department;
if the change data exists in the department to be evaluated, synchronously acquiring the change node, and calibrating the change node as the node to be evaluated;
and acquiring project data under the node to be evaluated, inputting the project data into a trend evaluation model, outputting trend of the project data, and judging whether the change data has influence on the abnormal evaluation report according to the trend of the project data.
In this embodiment, after the abnormal evaluation report is generated, the monitoring module obtains the change information in the enterprise and determines whether the change information is associated with the project department, if no associated phenomenon exists, the project department corresponding to the deviation data in the abnormal evaluation report is indicated to have an abnormality, and is calibrated as an abnormal department, then the operation condition of the department is evaluated according to the deviation data, at this time, the intervention processing of personnel in the enterprise is required, excessive explanation and limitation are not required, and if the associated phenomenon exists, whether the generation of the deviation data has an association with the change of the information in the enterprise is required to be clear, so that the dominant factor of the generation of the deviation data is accurately tracked.
In a preferred embodiment, the specific process of determining whether the change data has an influence on the abnormality evaluation report according to the trend of the project data is as follows:
stp1, acquiring all historical project data before a change node from an abnormal evaluation report, and calibrating a period before the change node as a period to be evaluated;
stp2 equally dividing a period to be evaluated into a plurality of sampling intervals, and acquiring historical item data in each sampling interval to be independently summarized into a subset to be evaluated;
stp3, obtaining an evaluation function from the trend evaluation model;
stp4, inputting the historical project data of the sampling interval into an evaluation function to obtain a variation trend value of the project data;
stp5, acquiring pre-state project data adjacent to the change node, and carrying out combination operation with the change trend value to output predicted project data;
if the predicted project data is consistent with the project data under the change node, judging that the change data has no influence on the abnormal evaluation report;
if the predicted item data does not match the item data at the change node, the change data is determined to be the dominant data of the abnormality evaluation report.
As described in steps Stp1-Stp5 above, in-processIn the embodiment, the required period to be evaluated is constructed according to the change node, and the project data of the period to be evaluated is subjected to partition analysis, so that the accuracy of a trend analysis result is ensured, wherein an evaluation function in a trend model is as follows:
wherein Q represents the change trend value of the project data, t a ，t b The period length of the sampling interval is represented, n, m represents the number of item data participating in trend operation, X i ，X j It should be noted that, in order to ensure the accuracy of the calculation result of the trend value, it is possible to selectively reject the calculation result when the calculation result is input into the evaluation function, of course, a fluctuation threshold may be preset to achieve the purpose of automatic screening, and then the calculation is performed with the previous state item data as a reference, so that the predicted item data under the change node can be determined. In a preferred embodiment, the 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 as verification data;
obtaining a check function from the check model, and inputting check data into the check function to obtain the accuracy of the check function;
acquiring 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 judging 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 unable to be used as a judging condition of the trend of the project data, and the change trend value of the project data is recalculated.
As described above, when verifying the change trend value, the verification is performed based on the known historical item data, specifically by an evaluation function, where the evaluation function is: r is R k ＝R k-1 +Q, wherein R k And R is k-1 And for adjacent historical item data, counting the occupation ratio of the historical item data meeting the formula, and obtaining the accuracy after the verification function is executed, so that whether the change trend value can be used as a judgment condition for the trend of the item data or not can be determined, and for the condition that the judgment condition is not met, continuously screening the historical item data with larger fluctuation value until the change trend value meets the judgment condition.
The invention also provides an enterprise informatization management terminal based on big data, which comprises:
at least one processor;
and a memory communicatively coupled to the at least one processor;
the memory 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 enterprise informatization management integrated platform based on big data.
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 desired purpose, or may comprise a known device in a general purpose computer. These devices have computer programs or applications stored therein that are selectively activated or reconfigured. Such a computer program may be stored in a device (e.g., a computer) readable medium or any type of medium suitable for storing electronic instructions and respectively coupled to a bus, including, but not limited to, any type of disk (including floppy disks, hard disks, optical disks, CD-ROMs, and magneto-optical disks), ROMs (Read-Only memories), RAMs (Random AccessMemory, random access memories), EPROMs (Erasable Programmable Read-Only memories), EEPROMs (Electrically Erasable Programmable Read-Only memories), flash memories, magnetic cards, or optical cards. 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 one … …" does not exclude the presence of other like elements in a process, apparatus, article or method that comprises the element.
The foregoing is merely a preferred embodiment of the present invention and it should be noted that modifications and adaptations to those skilled in the art may be made without departing from the principles of the present invention, which are intended to be comprehended within the scope of the present invention. Structures, devices and methods of operation not specifically described and illustrated herein, unless otherwise indicated and limited, are implemented according to conventional means in the art.
Claims (9)
1. The utility model provides an enterprise informatization management integrated platform based on big data, includes basic data acquisition module, project coding module, turning over module, diagnostic module, evaluation module and supervision module, its characterized in that:
the basic data acquisition module is used for acquiring enterprise internal information, wherein the enterprise internal information at least comprises enterprise organization architecture information, enterprise service information and enterprise personnel information;
the project coding module is used for generating a project module corresponding to the enterprise internal information, wherein the project module at least comprises an organization unit, a business unit, a circulation unit and an information interaction unit;
the business unit is used for constructing a plurality of business processing areas according to the business information, the circulation unit is used for constructing a data circulation channel according to the management authority, and the information interaction unit is used for integrating the business information in the business processing areas;
the construction process of the service processing area is specifically as follows:
acquiring enterprise business information, classifying to obtain a plurality of business storage sets, wherein the enterprise business information in each business storage set is mutually 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 as a shared data set;
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 flows to the business storage set;
the turning module is used for turning and storing project tasks ended by the business unit and flow tasks ended by the circulation unit, and respectively calibrating the project tasks and the flow tasks as a junction report and a junction report;
the diagnosis module is used for acquiring a plan report corresponding to the junction item report and the junction flow report, comparing the plan report with the junction item report and the junction flow report 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 supervision module is used for acquiring the change data of the enterprise internal information in real time, summarizing the change data into a comparison data set, and comparing the comparison data set with an evaluation report;
if yes, indicating that the change data of the enterprise internal information is related to the evaluation report, positioning a change node of the change data of the enterprise internal information, and dividing the evaluation report into an original evaluation report and a change evaluation report by taking the change node as a critical point;
if not, the change data of the enterprise internal information has no influence on the evaluation report.
2. The enterprise informatization management integration platform based on big data according to claim 1, wherein: the system also comprises a retrieval module, wherein the retrieval module is used for searching and retrieving the internal information of the enterprise according to the keywords.
3. The enterprise informatization management integration platform based on big data according to claim 1, wherein: the project coding module further comprises a project construction unit, wherein the project construction unit is used for calling project data from the business processing area according to business information of an enterprise and constructing the project data into a shared data area, n shared data areas are arranged, and the value of n is a positive integer;
acquiring all business departments related to 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 a corresponding shared data area;
the data interaction channel comprises a unidirectional channel and a multidirectional channel.
4. The enterprise informatization management integration platform based on big data according to claim 1, wherein: the deviation data comprises repeated data, missing data and differentiated data;
the repeated data is shared data between a junction report and between a plan report;
the missing data are the missing data of the junction item report and the junction flow report relative plan report;
the differential data are newly added items in a junction item report and a junction stream 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.
5. The enterprise informatization management integration platform based on big data according to claim 1, wherein: the assessment reports include a normal assessment report and an abnormal assessment report, and when the assessment module is executing, determining a specific detail of the deviation data from the diagnostic report;
acquiring importance of the deviation data, and performing sorting processing;
acquiring plan data corresponding to the deviation data, synchronously outputting the deviation amount of the deviation data, and judging the health degree of the junction item report and the junction flow report according to the value of the deviation amount;
if the value of the deviation is greater than or equal to zero, judging that the health degree of the junction item report and the junction flow report is normal, and generating a normal evaluation report;
and if the value of the deviation is smaller than zero, judging that the health degree of the junction item report and the junction flow report is abnormal, and calibrating the abnormal report as an abnormal evaluation report.
6. The enterprise informatization management integration platform based on big data according to claim 5, wherein: after the abnormal evaluation report is generated, acquiring project departments corresponding to the deviation data from the abnormal evaluation report, and calibrating the project departments as departments to be evaluated;
acquiring change data of departments to be evaluated from the comparison data set;
if the change data does not exist in the department to be evaluated, the department to be evaluated is marked as an abnormal department;
if the change data exists in the department to be evaluated, synchronously acquiring a 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 change data has influence on an abnormal evaluation report according to the trend of the project data.
7. The enterprise informatization management integration platform based on big data according to claim 6, wherein: the specific process of judging whether the change 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 change node from the abnormal evaluation report, and calibrating a period before the change node as a 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 to be independently summarized into a subset to be evaluated;
acquiring 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 pre-state project data adjacent to the change node, carrying out combination operation with the change trend value, and outputting predicted project data;
if the predicted project data is consistent with project data under the change node, judging that the change data has no influence on the abnormal evaluation report;
and if the predicted project data is inconsistent with project data under the change node, judging that the change data is dominant data of an abnormal evaluation report.
8. The enterprise informatization management integration platform based on big data according to claim 7, wherein: after the change trend value is output, the change 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 as verification data;
obtaining a check function from a check model, and inputting check data into the check function to obtain the accuracy of the check function;
acquiring 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 judging 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 unable to be used as a judging condition of the trend of the project data, and the change trend value of the project data is recalculated.
9. An enterprise informatization management terminal based on big data, which is characterized in that: comprising 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 informatization management integration platform of any one of claims 1 to 8.
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