CN107844901A - A kind of method and its system of enterprise operation automated analysis - Google Patents
A kind of method and its system of enterprise operation automated analysis Download PDFInfo
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Abstract
The present invention relates to a kind of method and its system of enterprise operation automated analysis, this method includes obtaining enterprise's full information；Enterprise's full information is pre-processed, builds standardization enterprise operation automated analysis model；To enterprise's mass data analytic statistics, statistical result is parameterized；Standardization enterprise operation automated analysis model is adjusted according to parameterized results, is formed and customizes enterprise operation automatic analysis system；By system and Model Matching, industry parameters model needed for the specific business life cycle stage is obtained, the priority parameters weight of six big key elements in enterprise operation is adjusted according to current enterprise life cycle phase；Individual enterprise's operation automatic analysis system is obtained according to parameter model；The operations risks point and Operation Decision point faced to enterpriser is classified, and optimization is corrected using machine learning algorithm.The present invention realizes the precision and efficiency for improving enterprise's each side operation, improves accuracy of analysis, precisely portrays the operation state and Operation Decision demand of enterprise.
Description
Technical field
The present invention relates to enterprise operation analysis method, more specifically refers to a kind of method of enterprise operation automated analysis
And its system.
Background technology
Enterprise operation analysis is analyzed for enterprise operation ability, refers mainly to the efficiency and effect of enterprise operation assets
Benefit, the efficiency of enterprise operation assets refer mainly to the turnover rate or turnaround speed of assets, and the benefit of enterprise operation assets typically refers to
Ratio between the quantum of output and assets occupancy amount of enterprise
Enterprises operation data is all based on to enterprise operation analysis at present, with regard to the analysis of enterprises operation data
Speech, only including balance sheet, sales growth rate, order delivery rate, examination clearing financial data；Inventory cost, fund week
Rate of rotation；, equal hundred yuan of output ratios of R＆D people, fixed assets appropriation budget delivery rate；General expense budget delivery rate.Can not be never
The cognition aspect for having enterprise's big data carrys out traffic-operating period of the dynamic real-time analysis enterprise in different phase, accuracy of analysis be present not
Height, the operation state and Operation Decision demand of enterprise can not be precisely portrayed, also can not the single specific enterprise of automated analysis in real time
Operation key point information running situation and set up threshold value of warning so that the precision of enterprise's each side operation and less efficient.
Therefore, it is necessary to design a kind of method of enterprise operation automated analysis, the single tool of real-time automated analysis is realized
Body enterprise operation key point information running situation and threshold value of warning is set up, improve the precision and efficiency of enterprise's each side operation, carry
The high analyte degree of accuracy, precisely portray the operation state and Operation Decision demand of enterprise.
The content of the invention
The defects of it is an object of the invention to overcome prior art, there is provided a kind of method of enterprise operation automated analysis and
Its system.
To achieve the above object, the present invention uses following technical scheme：A kind of method of enterprise operation automated analysis, institute
The method of stating includes：
Obtain enterprise's full information；
Enterprise's full information is pre-processed, builds standardization enterprise operation automated analysis model；
It is and right according to enterprise's mass data of standardization enterprise operation analysis model analytic statistics enterprise operation lead-time
Statistical result is parameterized；
Standardization enterprise operation automated analysis model is adjusted according to parameterized results, it is automatic to form customization enterprise operation
Change analysis system；
Enterprise operation automatic analysis system and standardization enterprise operation automated analysis Model Matching will be customized, will be obtained
Industry parameters model needed for the specific business life cycle stage, and adjusted according to current enterprise life cycle phase in enterprise operation
The priority parameters weight of six big key elements；
Operation automated analysis system of individual enterprise is obtained according to industry parameters model needed for the specific business life cycle stage
System；
The operations risks point and Operation Decision point faced to enterpriser is classified, and using machine learning algorithm to classification
Operations risks point and Operation Decision point afterwards is corrected optimization.
Its further technical scheme is：Enterprise's full information is pre-processed, builds standardization enterprise operation automation point
The step of analysing model, including step in detail below：
Enterprise's full information is excavated, be layered and classification processing；
Build standardization enterprise operation automated analysis model.
Its further technical scheme is：Standardization enterprise operation automated analysis model, shape are adjusted according to parameterized results
The step of into customization enterprise operation automatic analysis system, including step in detail below：
Served as theme with industry prospect and life cycle phase, adjust the priority ranking of six big key elements in enterprise operation；
The weight of parameter in each key element is adjusted, is formed and customizes enterprise operation automatic analysis system.
Its further technical scheme is：Single enterprise is obtained according to industry parameters model needed for the specific business life cycle stage
Industry is runed the step of automatic analysis system, including step in detail below：
The life cycle phase being presently according to the survival time of enterprise and financing number calculating enterprise；
Big data statistics and information analysis are carried out to each key element of enterprise operation according to different phase, obtain each Life Cycle
The enterprise operation key element priority ranking in stage phase；
According to the enterprise operation key element priority ranking result of each life cycle phase, individual enterprise's operation is formed certainly
Dynamicization analysis system.
Its further technical scheme is：The operations risks point and Operation Decision point faced to enterpriser is classified, and is adopted
The step of optimization is corrected to sorted operations risks point and Operation Decision point with machine learning algorithm, including in detail below
Step：
The operations risks point and Operation Decision point faced to enterpriser is successively refined；
Operations risks point and Operation Decision point are formed into mapping relations；
Priority ranking is carried out according to the enterprise operation key element of each life cycle phase；
Crucial operation key element priority ranking and parameters weighting model result and specific enterprise based on different phase enterprise
Industry parameters model needed for industry life cycle phase, using machine learning algorithm to sorted operations risks point and Operation Decision
Point is corrected optimization.
Present invention also offers a kind of system of enterprise operation automated analysis, including information acquisition unit, standardization mould
Type build unit, parameterized units, customization system formed unit, matching unit, automatic analysis system acquiring unit and
Correct unit；
Described information acquiring unit, for obtaining enterprise's full information；
The standardized model builds unit, for being pre-processed to enterprise's full information, builds standardization enterprise operation
Automated analysis model；
The parameterized units, for according to the standardization enterprise operation analysis model analytic statistics enterprise operation lead-time
Enterprise's mass data, and statistical result is parameterized；
The customization system forms unit, for adjusting standardization enterprise operation automated analysis according to parameterized results
Model, formed and customize enterprise operation automatic analysis system；
The matching unit, for enterprise operation automatic analysis system and standardization enterprise operation automation will to be customized
Analysis model matches, and obtains industry parameters model needed for the specific business life cycle stage, and according to current enterprise life cycle
The priority parameters weight of six big key elements in stage adjustment enterprise operation；
The automatic analysis system acquiring unit, for the industry parameters mould according to needed for the specific business life cycle stage
Type obtains individual enterprise's operation automatic analysis system；
The correction unit, operations risks point and Operation Decision point for being faced to enterpriser are classified, and are used
Machine learning algorithm is corrected optimization to sorted operations risks point and Operation Decision point.
Its further technical scheme is：The standardized model, which builds unit, to be included message processing module and builds mould
Block；
Described information processing module, for enterprise's full information is excavated, is layered and classification processing；
It is described to build module, for building standardization enterprise operation automated analysis model.
Its further technical scheme is：The customization system, which forms unit, includes sequence adjusting module and weight adjustment
Module；
The sequence adjusting module, for being served as theme with industry prospect and life cycle phase, adjust six in enterprise operation
The priority ranking of big key element；
The weight adjusting module, for adjusting the weight of parameter in each key element, it is automatic to form customization enterprise operation
Change analysis system.
Its further technical scheme is：The automatic analysis system acquiring unit includes computing module, information analysis mould
Block and system form module；
The computing module, the Life Cycle being presently in for the survival time according to enterprise and financing number calculating enterprise
Stage phase；
Described information analysis module, for carrying out big data statistics simultaneously to each key element of enterprise operation according to different phase
Information analysis, obtain the enterprise operation key element priority ranking of each life cycle phase；
The system forms module, for the enterprise operation key element priority ranking knot according to each life cycle phase
Fruit, form individual enterprise's operation automatic analysis system.
Its further technical scheme is：The correction unit includes refinement module, mapping block, order module and optimization
Module；
The refinement module, operations risks point and Operation Decision point for being faced to enterpriser are successively refined；
The mapping block, for operations risks point and Operation Decision point to be formed into mapping relations；
The order module, for carrying out priority ranking according to the enterprise operation key element of each life cycle phase；
The optimization module, for crucial operation key element priority ranking and parameters weighting mould based on different phase enterprise
Industry parameters model needed for type result and specific business life cycle stage, using machine learning algorithm to sorted operation
Risk point and Operation Decision point are corrected optimization.
Compared with the prior art, the invention has the advantages that：A kind of side of enterprise operation automated analysis of the present invention
Method, by obtaining enterprise's full information, standard enterprise operation analysis model is built, with reference to the related operation mass data of enterprise, formed
Enterprise operation automatic analysis system is customized, obtains industry parameters mould needed for the specific business life cycle stage on this basis
Type, individual enterprise's operation automatic analysis system is obtained with the parameter model, automatic analysis system is runed using individual enterprise
Operations risks point during enterprise operation and Operation Decision point are analyzed, and optimization is corrected using machine learning,
Realize the single specific enterprise operation key point information running situation of real-time automated analysis and set up threshold value of warning, it is each to improve enterprise
The precision and efficiency of aspect operation, accuracy of analysis is improved, precisely portray the operation state and Operation Decision demand of enterprise, can be with
All kinds of enterprises or mechanism are helped more to understand enterprise in the risk of operation different phase and obtain Operation Decision support, and data obtain
Take cost relatively low.
The invention will be further described with specific embodiment below in conjunction with the accompanying drawings.
Brief description of the drawings
Fig. 1 is a kind of flow chart one of the method for enterprise operation automated analysis that the specific embodiment of the invention provides；
Fig. 2 is a kind of flowchart 2 of the method for enterprise operation automated analysis that the specific embodiment of the invention provides；
Fig. 3 is the flow chart for building standardization enterprise operation automated analysis model that the specific embodiment of the invention provides；
Fig. 4 is the flow chart that the formation that the specific embodiment of the invention provides customizes enterprise operation automatic analysis system；
Fig. 5 is the flow chart for obtaining individual enterprise and runing automatic analysis system that the specific embodiment of the invention provides；
Fig. 6 uses machine learning algorithm to sorted operations risks point and operation for what the specific embodiment of the invention provided
Decision point is corrected the flow chart of optimization；
Fig. 7 is a kind of structured flowchart of the system for enterprise operation automated analysis that the specific embodiment of the invention provides；
Fig. 8 is the structured flowchart that the standardized model that the specific embodiment of the invention provides builds unit；
Fig. 9 is the structured flowchart that the customization system that the specific embodiment of the invention provides forms unit；
Figure 10 is the structured flowchart for the automatic analysis system acquiring unit that the specific embodiment of the invention provides；
Figure 11 is the structured flowchart for the correction unit that the specific embodiment of the invention provides.
Embodiment
In order to more fully understand the technology contents of the present invention, technical scheme is entered with reference to specific embodiment
One step introduction and explanation, but it is not limited to this.
Specific embodiment as shown in Fig. 1~11, a kind of method for enterprise operation automated analysis that the present embodiment provides,
It can be used in during the OA operation analysis of each life cycle of enterprise, realize the single specific enterprise operation of real-time automated analysis
Key point information running situation and threshold value of warning is set up, improve the precision and efficiency of enterprise's each side operation, it is accurate to improve analysis
Degree, precisely portray the operation state and Operation Decision demand of enterprise.
As shown in figure 1, present embodiments providing a kind of method of enterprise operation automated analysis, this method includes：
S1, obtain enterprise's full information；
S2, enterprise's full information is pre-processed, build standardization enterprise operation automated analysis model；
S3, enterprise's mass data according to the standardization enterprise operation analysis model analytic statistics enterprise operation lead-time,
And statistical result is parameterized；
S4, standardization enterprise operation automated analysis model is adjusted according to parameterized results, formed and customize enterprise operation
Automatic analysis system；
S5, enterprise operation automatic analysis system and standardization enterprise operation automated analysis Model Matching will be customized,
Industry parameters model needed for the specific business life cycle stage is obtained, and according to current enterprise life cycle phase adjustment enterprise fortune
The priority parameters weight of six big key elements in battalion；
S6, the industry parameters model according to needed for the specific business life cycle stage obtain individual enterprise's operation automated analysis
System；
S7, the operations risks point faced to enterpriser and Operation Decision point are classified, and use machine learning algorithm pair
Sorted operations risks point and Operation Decision point are corrected optimization.
For above-mentioned S1 steps, specifically using crawler technology, enterprise's full information is crawled from internet, the enterprise believes entirely
Breath includes Back ground Information, relevent information, information on services etc., based on the big data technology of maturation, utilizes enterprise's full information of magnanimity
Analyzed and processed, ensure mass data safety storage, ensure mass data distributed treatment, efficiency high, the degree of accuracy with
The accumulation of data is constantly lifted, and is collected and handled based on internet public information, in the absence of sensitive information, data acquisition cost
It is relatively low；And enterprise can autonomous sensitive parameter needed for input system, realize data management and analysis.
In addition, if the later stage needs, enterprise, which can add related operation data and realize, more accurately to analyze and predicts, can be with
Help all kinds of enterprises or mechanism more to understand enterprise in the risk of operation different phase and obtain Operation Decision support, improve satisfied
The precision and efficiency of each side operation.
Further, in certain embodiments, above-mentioned S2 steps, are pre-processed to enterprise's full information, build mark
The step of standardization enterprise operation automated analysis model, including step in detail below：
S21, enterprise's full information is excavated, be layered and classification processing；
S22, build standardization enterprise operation automated analysis model.
Using a standardization enterprise operation automated analysis model is built to enterprise's full information, realization is based on the big number of enterprise
According to cognition aspect analyze enterprise operation situation, the degree of accuracy is higher.
In addition, for above-mentioned S3 steps, looked forward to specifically based on the research to the enterprise operation lead-time and to the complete period
The analytic statistics of industry mass data, and parameterized for statistical result, such as：Survival time, financing number, financing gold
The statistical results of the modules such as volume, industry prospect parameterizes, and can utilize the module after parametrization according to different enterprises or enterprise
The analysis of being customized of different phase of industry, so as to improve the degree of accuracy of analysis.
Further, in certain embodiments, for above-mentioned S4 steps, standardization enterprise is adjusted according to parameterized results
Industry runs automated analysis model, forms the step of customizing enterprise operation automatic analysis system, including step in detail below：
S41, served as theme with industry prospect and life cycle phase, adjust the priority row of six big key elements in enterprise operation
Sequence；
The weight of parameter, forms and customizes enterprise operation automatic analysis system in S42, each key element of adjustment.
Above-mentioned S41 steps, six big key elements include product, vertical industry, consumer group's positioning, manpower, finance and canal
Road.
For above-mentioned S42 steps, when customization enterprise operation automatic analysis system analyzes six big key elements respectively, formed
Six large-sized models, such as：Product demand market analysis forecast model, fund spend plentifully analysis model, fund configuration optimization auxiliary mould
Type, talent of high caliber flow monitoring model, industrial chain node linkage coefficient analysis model and consumer consumption behavior and requirement forecasting
Analysis model；Wherein, product demand market analysis forecast model is used for product analysis, and fund spends plentifully analysis model and fund
Configuration optimization submodel is used for financial analysis, and talent of high caliber flows monitoring model and is used for manpower analysis, the linkage of industrial chain node
Coefficient analysis model is analyzed for vertical industry, and consumer consumption behavior and requirement forecasting analysis model are used for consumer group's positioning point
Analysis, different automated analysis models is customized based on six big key elements, can more accurately portray operation state and the operation of enterprise
Decision requirements, the characteristics of being different from conventional enterprises service unification, the service to the different phase of enterprise will more become more meticulous, are fixed
Inhibition and generation；Realize monitoring and early warning in ex ante forecasting, thing, continue dynamic analysis afterwards.
It is based on for standardization enterprise operation analysis model to build and customize enterprise operation analysis system, that is, is standardized
Enterprise operation analysis model is general class, and six major class key element data class names form, such as：Product number, senior executive's influence power, into
The vertical time limit, financing round, total patent number, works flexible strategy, annual net profit etc.；When specific individual enterprise passes through our bottom datas
It can be generated after the completion of matching and enterprise self-determining interpolation data and customize enterprise operation analysis system, the system is related according to enterprise
The work model of data movement and dynamic analysis.
For above-mentioned S4 steps, according to standardization enterprise operation automated analysis model to marking in the specific enterprise of typing not
Same parameter, it can be generated by industry prospect and business life cycle stage and customize enterprise operation automatic analysis system, typing
Specific enterprise parameter:Industry, survival time and financing number and the amount of money etc., wherein industry prospect correspondingly have trade classification method by oneself
System, industry is specifically determined according to enterprise external product data sheet enterprise's input validation of seeking peace；The business life cycle stage leads to
Spend survival time and the sum determination of financing number.
In addition, for above-mentioned S5 steps, customization enterprise operation automatic analysis system and the standardization enterprise of generation
Automated analysis Model Matching is runed, the matching mechanisms specifically used are using industry prospect+business life cycle stage to be main
Matching source, industry parameters model needed for the current specific business life cycle stage is obtained, and press current enterprise life cycle phase
To adjust the priority parameters weight of six big key elements in enterprise operation, the purpose of matching is for enterprise's full information and corporate behavior
In track data insertion enterprise operation analysis model, accomplish to meet following intelligent epoch enterprise operation analysis method system.
Further, in certain embodiments, above-mentioned S6 steps, according to row needed for the specific business life cycle stage
Industry parameter model obtains the step of individual enterprise's operation automatic analysis system, including step in detail below：
S61, the life cycle phase that enterprise is presently in is calculated according to the survival time and financing number of enterprise；
S62, big data statistics and information analysis carried out to each key element of enterprise operation according to different phase, obtain each life
Order the enterprise operation key element priority ranking in the phase of the cycles；
S63, the enterprise operation key element priority ranking result according to each life cycle phase, form individual enterprise's fortune
Seek automatic analysis system.
For above-mentioned S61 steps, it is presently in using the survival time of enterprise and financing number etc. to calculate enterprise
Life cycle phase i.e. residing stage, such as company A survival so far 4 years, finance 2 times, be judged as according to model in growth
Phase in this stage.
For above-mentioned S62 steps and S63 steps, entered according to different phase all kinds of key elements influential on enterprise operation
After row big data statistics and information analysis, the enterprise operation key element priority ranking of each life cycle phase, such as A are drawn
Company is in growth stage key OA operation analysis key element：Finance, product, manpower, consumer group's positioning etc..According to each of individual enterprise
The enterprise operation key element priority ranking result of life cycle phase, individual enterprise's operation automatic analysis system is formed,
The single specific enterprise operation key point information running situation of automated analysis and threshold value of warning can be set up in real time.
Further, in certain embodiments, above-mentioned S7 steps, the operations risks point faced to enterpriser and operation
Decision point is classified, and is corrected optimization to sorted operations risks point and Operation Decision point using machine learning algorithm
The step of, including step in detail below：
S71, the operations risks point faced to enterpriser and Operation Decision point are successively refined；
S72, operations risks point and Operation Decision point formed into mapping relations；
S73, according to the enterprise operation key element of each life cycle phase carry out priority ranking；
S74, the crucial operation key element priority ranking based on different phase enterprise and parameters weighting model result and tool
Industry parameters model needed for the body business life cycle stage, using machine learning algorithm to sorted operations risks point and operation
Decision point is corrected optimization.
Above-mentioned S71 steps, the specifically analysis based on enterprise operation each side, the possible operation that enterpriser is faced
Risk point and Operation Decision point are classified, six big from product, upstream and downstream product, consumer group's positioning, manpower, finance, channel
Aspect successively refine to specific individual enterprise's operation automatic analysis system.
For above-mentioned S72 steps, enterprise operation risk point and Operation Decision point are into mapping relations, and specifically, enterprise transports
Based on risk point is sought by industry analysis classical analysis method Michael Porter's Five Forces Model, including by the product orientation market risk, production
Product price positioning risk, product barrier risk etc., enterprise operation risk point is formed with Operation Decision point to be mapped, it is possible to achieve multidimensional
Risk of policy making point and decision-making key point in degree identification enterprise operation, power-assisted health hair in automation, intelligent decision making in enterprise
Exhibition.
For above-mentioned S73 and above-mentioned S74 steps, the crucial operation based on the different phase enterprise drawn will
Plain priority ranking and parameters weighting model result, it contains or corresponded in enterprise operation per a kind of concrete analysis decision model
Specific operations risks point and Operation Decision point, and add big data and machine learning in-depth technology, continue to optimize correction, and
It is exactly that characterize specific is fallen on the model of Operation Decision point that big data and machine learning algorithm technology, which embody,；For example A is public
Taking charge of the operation key model paid close attention in growth stage needs is：Product-product demand market analysis forecast model, manpower-high-end people
Just flow monitoring model etc..The intelligent Operation Decision system of Automatic Optimal and the analysis model of machine learning；More defer to enterprise
Objective data, risk of policy making point and decision-making key point in various dimensions identification enterprise operation, power-assisted enterprise determines in automation, intellectuality
Developed in a healthy way in plan, accurately portray the operation state and Operation Decision demand of enterprise, the service to the different phase of enterprise will more
Add and become more meticulous, customize；Realize monitoring and early warning in ex ante forecasting, thing, continue dynamic analysis afterwards, and machine learning Continuous optimization
In.
One aspect is the dynamic and characteristic of the data based on enterprise itself, accomplishes the monitoring to related data change
Updated with dynamic, another aspect be by machine learning using special algorithm to the dynamic supervisories of a large amount of enterprise operation situations and
Study, based on substantial amounts of enterprise operation situation train learn, accomplish new firms come in or data dynamic update after system it is automatic
Adjustment and renewal threshold value of warning, accomplish to remind in advance, prevent in advance！For example：Based on a large amount of ripe enterprise operation situations
Machine learning and Algorithm for Training, it can be predicted or adjust next stage operations risks point and Operation Decision point, such as in the growth stage
Enterprise, then issued product again, when a new round of coming in financing, that is, met the stage of phase of growing up-take off, engineering
The mapping relations of its some operation key points can be predicted and adjust according to enterprise's self-growth situation by practising, constantly excellent so as to reach
Change the purpose of correction, allow system that there is a kind of self study from the ability grown up.
A kind of method of above-mentioned enterprise operation automated analysis, by obtaining enterprise's full information, build standard enterprise fortune
Analysis model is sought, with reference to the related operation mass data of enterprise, is formed and customizes enterprise operation automatic analysis system, it is basic herein
It is upper to obtain industry parameters model needed for the specific business life cycle stage, individual enterprise's operation automation is obtained with the parameter model
Analysis system, automatic analysis system is runed to the operations risks point and Operation Decision during enterprise operation using individual enterprise
Point is analyzed, and is corrected optimization using machine learning, realizes that the single specific enterprise operation of real-time automated analysis is crucial
Put information running situation and set up threshold value of warning, improve the precision and efficiency of enterprise's each side operation, improve accuracy of analysis, essence
Standard portrays the operation state and Operation Decision demand of enterprise, and all kinds of enterprises or mechanism can be helped more to understand enterprise in operation not
Risk and acquisition Operation Decision with the stage are supported, and data acquisition cost is relatively low.
As shown in fig. 7, the present embodiment additionally provides a kind of system of enterprise operation automated analysis, it includes acquisition of information
Unit 1, standardized model build unit 2, parameterized units 3, customization system and form unit 4, matching unit 5, automation point
Analysis system acquiring unit 6 and correction unit 7.
Information acquisition unit 1, for obtaining enterprise's full information.
Standardized model builds unit 2, and for being pre-processed to enterprise's full information, it is automatic to build standardization enterprise operation
Change analysis model.
Parameterized units 3, for according to the standardization enterprise operation analysis model analytic statistics enterprise operation lead-time
Enterprise's mass data, and statistical result is parameterized.
Customization system forms unit 4, for adjusting standardization enterprise operation automated analysis mould according to parameterized results
Type, formed and customize enterprise operation automatic analysis system.
Matching unit 5, for enterprise operation automatic analysis system and standardization enterprise operation automation point will to be customized
Model Matching is analysed, obtains industry parameters model needed for the specific business life cycle stage, and according to current enterprise life cycle rank
The priority parameters weight of six big key elements in section adjustment enterprise operation.
Automatic analysis system acquiring unit 6, for the industry parameters model according to needed for the specific business life cycle stage
Obtain individual enterprise's operation automatic analysis system.
Unit 7 is corrected, operations risks point and Operation Decision point for being faced to enterpriser are classified, and use machine
Learning algorithm is corrected optimization to sorted operations risks point and Operation Decision point.
Crawler technology is specifically used for above-mentioned information acquisition unit 1, enterprise's full information is crawled from internet, the enterprise
Industry full information includes Back ground Information, relevent information, information on services etc., based on the big data technology of maturation, utilizes the enterprise of magnanimity
Full information is analyzed and processed, and ensures that the safety of mass data stores, guarantee mass data distributed treatment, efficiency high, accurately
Degree is constantly lifted with the accumulation of data, and is collected and handled based on internet public information, and in the absence of sensitive information, data obtain
Take cost relatively low；And enterprise can autonomous sensitive parameter needed for input system, realize data management and analysis.
In addition, if the later stage needs, enterprise, which can add related operation data and realize, more accurately to analyze and predicts, can be with
Help all kinds of enterprises or mechanism more to understand enterprise in the risk of operation different phase and obtain Operation Decision support, improve satisfied
The precision and efficiency of each side operation.
Further, in certain embodiments, standardized model builds unit 2 and includes message processing module 21 and take
Model block 22.
Message processing module 21, for enterprise's full information is excavated, is layered and classification processing.
Module 22 is built, for building standardization enterprise operation automated analysis model.
Using a standardization enterprise operation automated analysis model is built to enterprise's full information, realization is based on the big number of enterprise
According to cognition aspect analyze enterprise operation situation, the degree of accuracy is higher.
In addition, for parameterized units 3, specifically based on the research to the enterprise operation lead-time and to the complete period
The analytic statistics of enterprise's mass data, and parameterized for statistical result, such as：Survival time, financing number, financing gold
The statistical results of the modules such as volume, industry prospect parameterizes, and can utilize the module after parametrization according to different enterprises or enterprise
The analysis of being customized of different phase of industry, so as to improve the degree of accuracy of analysis.
Further, in certain embodiments, system is customized to form unit 4 including sequence adjusting module 41 and weigh
Recanalization module 42.
Sort adjusting module 41, and for being served as theme with industry prospect and life cycle phase, six is big in adjustment enterprise operation
The priority ranking of key element.Six big key elements include product, vertical industry, consumer group's positioning, manpower, finance and channel.
Weight adjusting module 42, for adjusting the weight of parameter in each key element, formed and customize enterprise operation automation
Analysis system.When customization enterprise operation automatic analysis system analyzes six big key elements respectively, six large-sized models are formed, such as：Production
Product market analysis forecast model, fund spend plentifully analysis model, fund configuration optimization submodel, talent of high caliber's flowing prison
Control model, industrial chain node linkage coefficient analysis model and consumer consumption behavior and requirement forecasting analysis model；Wherein, product
Market analysis forecast model is used for product analysis, and fund spends plentifully analysis model and fund configuration optimization submodel is used
In financial analysis, talent of high caliber flows monitoring model and is used for manpower analysis, and industrial chain node linkage coefficient analysis model is used for
Downstream industry is analyzed, and consumer consumption behavior and requirement forecasting analysis model are used for consumer group's positioning analysis, determined based on six big key elements
Make different automated analysis models, can more accurately portray the operation state and Operation Decision demand of enterprise, be different from
Toward the characteristics of enterprises service unification, the service to the different phase of enterprise will more become more meticulous, customize；Realize in advance pre-
Survey, monitoring and early warning in thing, continue dynamic analysis afterwards.
For customizing system and forming unit 4, according to standardization enterprise operation automated analysis model to marking typing
Different parameters in specific enterprise, it can be generated by industry prospect and business life cycle stage and customize enterprise operation automation point
Analysis system, the specific enterprise parameter of typing:Industry, survival time and financing number and the amount of money etc., wherein industry prospect are corresponding own
Trade classification method system, industry is specifically determined according to enterprise external product data sheet enterprise's input validation of seeking peace；Enterprise gives birth to
The life phase of the cycles passes through survival time and the sum determination of financing number.
It is based on for standardization enterprise operation analysis model to build and customize enterprise operation analysis system, that is, is standardized
Enterprise operation analysis model is general class, and six major class key element data class names form, such as：Product number, senior executive's influence power, into
The vertical time limit, financing round, total patent number, works flexible strategy, annual net profit etc.；When specific individual enterprise passes through our bottom datas
It can be generated after the completion of matching and enterprise self-determining interpolation data and customize enterprise operation analysis system, the system is related according to enterprise
The work model of data movement and dynamic analysis.
In addition, for above-mentioned matching unit 5, the customization enterprise operation automatic analysis system and standard of generation
Change enterprise operation automated analysis Model Matching, the matching mechanisms specifically used are with industry prospect+business life cycle stage
For main matching source, industry parameters model needed for the current specific business life cycle stage is obtained, and press current enterprise Life Cycle
Stage phase adjusts the priority parameters weight of six big key elements in enterprise operation, and the purpose of matching is for enterprise's full information and enterprise
In industry action trail data insertion enterprise operation analysis model, accomplish to meet following intelligent epoch enterprise operation analysis method body
System.
Further, in certain embodiments, above-mentioned automatic analysis system acquiring unit 6 includes computing module
61st, information analysis module 62 and system form module 63.
Computing module 61, the life cycle being presently in for the survival time according to enterprise and financing number calculating enterprise
Stage.The i.e. residing rank of life cycle phase that enterprise is presently in is calculated using the survival time of enterprise and financing number etc.
Section, such as company A survival so far 4 years, finance 2 times, be judged as being in growth stage in this stage according to model.
Information analysis module 62, for carrying out big data statistics to each key element of enterprise operation according to different phase and believing
Breath analysis, obtain the enterprise operation key element priority ranking of each life cycle phase.
System forms module 63, for the enterprise operation key element priority ranking knot according to each life cycle phase
Fruit, form individual enterprise's operation automatic analysis system.
After carrying out big data statistics and information analysis according to different phase all kinds of key elements influential on enterprise operation, draw
The enterprise operation key element priority ranking of each life cycle phase, such as company A are in growth stage key OA operation analysis and wanted
Element is：Finance, product, manpower, consumer group's positioning etc..It is critical to according to the enterprise operation of each life cycle phase of individual enterprise
Plain priority ranking result, formed individual enterprise operation automatic analysis system, can in real time automated analysis it is single specifically look forward to
Industry runs key point information running situation and sets up threshold value of warning.
Further, above-mentioned correction unit 7 includes refinement module 71, mapping block 72, order module 73 and excellent
Change module 74.
Refinement module 71, operations risks point and Operation Decision point for being faced to enterpriser are successively refined.Specifically
It is the analysis based on enterprise operation each side, possible the operations risks point and Operation Decision point minute that enterpriser is faced
Class, specific single enterprise is successively refine to from six product, upstream and downstream product, consumer group's positioning, manpower, finance, channel broad aspects
Industry runs automatic analysis system.
Mapping block 72, for operations risks point and Operation Decision point to be formed into mapping relations.Enterprise operation risk point and
Operation Decision point is into mapping relations, and specifically, enterprise operation risk point passes through the power mould of industry analysis classical analysis method baud five
Based on type, including by the product orientation market risk, product price positioning risk, product barrier risk etc., enterprise operation risk
Point is formed with Operation Decision point to be mapped, it is possible to achieve risk of policy making point and decision-making key point in various dimensions identification enterprise operation, is helped
Power develops in a healthy way in enterprise in automation, intelligent decision making.
Order module 73, for carrying out priority ranking according to the enterprise operation key element of each life cycle phase.
Optimization module 74, for crucial operation key element priority ranking and parameters weighting model based on different phase enterprise
As a result and industry parameters model needed for the specific business life cycle stage, using machine learning algorithm to sorted operation wind
Danger point and Operation Decision point are corrected optimization.
Crucial operation key element priority ranking and parameters weighting model result based on the different phase enterprise drawn,
It contains or corresponded to specific the operations risks point and Operation Decision point in enterprise operation per a kind of concrete analysis decision model,
And big data and machine learning in-depth technology are added, correction is continued to optimize, and big data and machine learning algorithm technology embody just
It is that characterize specific is fallen on the model of Operation Decision point；Such as the operation key mould that company A needs to pay close attention in the growth stage
Type is：Product-product demand market analysis forecast model, manpower-talent of high caliber flow monitoring model etc..Automatic Optimal and machine
The intelligent Operation Decision system of the analysis model of study；Enterprise's objective data is more deferred to, in various dimensions identification enterprise operation certainly
Plan risk point and decision-making key point, power-assisted enterprise develop in a healthy way in automation, intelligent decision making, accurately portray the operation of enterprise
State and Operation Decision demand, the service to the different phase of enterprise will more become more meticulous, customize；Realize ex ante forecasting, thing
Middle monitoring and early warning, continue dynamic analysis afterwards, and in machine learning Continuous optimization.
One aspect is the dynamic and characteristic of the data based on enterprise itself, accomplishes the monitoring to related data change
Updated with dynamic, another aspect be by machine learning using special algorithm to the dynamic supervisories of a large amount of enterprise operation situations and
Study, based on substantial amounts of enterprise operation situation train learn, accomplish new firms come in or data dynamic update after system it is automatic
Adjustment and renewal threshold value of warning, accomplish to remind in advance, prevent in advance！For example：Based on a large amount of ripe enterprise operation situations
Machine learning and Algorithm for Training, it can be predicted or adjust next stage operations risks point and Operation Decision point, such as in the growth stage
Enterprise, then issued product again, when a new round of coming in financing, that is, met the stage of phase of growing up-take off, engineering
The mapping relations of its some operation key points can be predicted and adjust according to enterprise's self-growth situation by practising, constantly excellent so as to reach
Change the purpose of correction, allow system that there is a kind of self study from the ability grown up.
A kind of system of above-mentioned enterprise operation automated analysis, by obtaining enterprise's full information, build standard enterprise fortune
Analysis model is sought, with reference to the related operation mass data of enterprise, is formed and customizes enterprise operation automatic analysis system, it is basic herein
It is upper to obtain industry parameters model needed for the specific business life cycle stage, individual enterprise's operation automation is obtained with the parameter model
Analysis system, automatic analysis system is runed to the operations risks point and Operation Decision during enterprise operation using individual enterprise
Point is analyzed, and is corrected optimization using machine learning, realizes that the single specific enterprise operation of real-time automated analysis is crucial
Put information running situation and set up threshold value of warning, improve the precision and efficiency of enterprise's each side operation, improve accuracy of analysis, essence
Standard portrays the operation state and Operation Decision demand of enterprise, and all kinds of enterprises or mechanism can be helped more to understand enterprise in operation not
Risk and acquisition Operation Decision with the stage are supported, and data acquisition cost is relatively low.
The above-mentioned technology contents that the present invention is only further illustrated with embodiment, in order to which reader is easier to understand, but not
Represent embodiments of the present invention and be only limitted to this, any technology done according to the present invention extends or recreation, by the present invention's
Protection.Protection scope of the present invention is defined by claims.
Claims (10)
- A kind of 1. method of enterprise operation automated analysis, it is characterised in that methods described includes：Obtain enterprise's full information；Enterprise's full information is pre-processed, builds standardization enterprise operation automated analysis model；According to enterprise's mass data of standardization enterprise operation analysis model analytic statistics enterprise operation lead-time, and to statistics As a result parameterized；Standardization enterprise operation automated analysis model is adjusted according to parameterized results, is formed and customizes enterprise operation automation point Analysis system；Enterprise operation automatic analysis system and standardization enterprise operation automated analysis Model Matching will be customized, will be obtained specific Industry parameters model needed for the business life cycle stage, and it is big according in the adjustment enterprise operation of current enterprise life cycle phase six The priority parameters weight of key element；Individual enterprise's operation automatic analysis system is obtained according to industry parameters model needed for the specific business life cycle stage；The operations risks point and Operation Decision point faced to enterpriser is classified, and using machine learning algorithm to sorted Operations risks point and Operation Decision point are corrected optimization.
- 2. the method for a kind of enterprise operation automated analysis according to claim 1, it is characterised in that to enterprise's full information Pre-processed, build the step of standardizing enterprise operation automated analysis model, including step in detail below：Enterprise's full information is excavated, be layered and classification processing；Build standardization enterprise operation automated analysis model.
- 3. the method for a kind of enterprise operation automated analysis according to claim 2, it is characterised in that tied according to parametrization Fruit adjustment standardization enterprise operation automated analysis model, forms the step of customizing enterprise operation automatic analysis system, bag Include step in detail below：Served as theme with industry prospect and life cycle phase, adjust the priority ranking of six big key elements in enterprise operation；The weight of parameter in each key element is adjusted, is formed and customizes enterprise operation automatic analysis system.
- 4. the method for a kind of enterprise operation automated analysis according to claim 3, it is characterised in that according to specific enterprise Industry parameters model needed for life cycle phase obtains the step of individual enterprise's operation automatic analysis system, including in detail below Step：The life cycle phase being presently according to the survival time of enterprise and financing number calculating enterprise；Big data statistics and information analysis are carried out to each key element of enterprise operation according to different phase, obtain each life cycle rank The enterprise operation key element priority ranking of section；According to the enterprise operation key element priority ranking result of each life cycle phase, individual enterprise's operation automation is formed Analysis system.
- 5. the method for a kind of enterprise operation automated analysis according to any one of Claims 1-4, it is characterised in that right The operations risks point and Operation Decision point that enterpriser faces are classified, and using machine learning algorithm to sorted operation wind The step of danger point and Operation Decision point are corrected optimization, including step in detail below：The operations risks point and Operation Decision point faced to enterpriser is successively refined；Operations risks point and Operation Decision point are formed into mapping relations；Priority ranking is carried out according to the enterprise operation key element of each life cycle phase；Crucial operation key element priority ranking and parameters weighting model result and the life of specific enterprise based on different phase enterprise Industry parameters model needed for the phase of the cycles is ordered, sorted operations risks point and Operation Decision are clicked through using machine learning algorithm Row correction optimization.
- 6. a kind of system of enterprise operation automated analysis, it is characterised in that built including information acquisition unit, standardized model Unit, parameterized units, customize system formation unit, matching unit, automatic analysis system acquiring unit and correction list Member；Described information acquiring unit, for obtaining enterprise's full information；The standardized model builds unit, and for being pre-processed to enterprise's full information, it is automatic to build standardization enterprise operation Change analysis model；The parameterized units, for the enterprise according to the standardization enterprise operation analysis model analytic statistics enterprise operation lead-time Industry mass data, and statistical result is parameterized；The customization system forms unit, for adjusting standardization enterprise operation automated analysis mould according to parameterized results Type, formed and customize enterprise operation automatic analysis system；The matching unit, for enterprise operation automatic analysis system and standardization enterprise operation automated analysis will to be customized Model Matching, industry parameters model needed for the specific business life cycle stage is obtained, and according to current enterprise life cycle phase Adjust the priority parameters weight of six big key elements in enterprise operation；The automatic analysis system acquiring unit, obtained for the industry parameters model according to needed for the specific business life cycle stage Individual enterprise is taken to run automatic analysis system；The correction unit, operations risks point and Operation Decision point for being faced to enterpriser are classified, and use machine Learning algorithm is corrected optimization to sorted operations risks point and Operation Decision point.
- A kind of 7. system of enterprise operation automated analysis according to claim 6, it is characterised in that the standardization mould Type, which builds unit, to be included message processing module and builds module；Described information processing module, for enterprise's full information is excavated, is layered and classification processing；It is described to build module, for building standardization enterprise operation automated analysis model.
- 8. the system of a kind of enterprise operation automated analysis according to claim 7, it is characterised in that described to customize system System, which forms unit, includes sequence adjusting module and weight adjusting module；The sequence adjusting module, for being served as theme with industry prospect and life cycle phase, six greatly will in adjustment enterprise operation The priority ranking of element；The weight adjusting module, for adjusting the weight of parameter in each key element, formed and customize enterprise operation automation point Analysis system.
- A kind of 9. system of enterprise operation automated analysis according to claim 8, it is characterised in that the automation point Analysis system acquiring unit includes computing module, information analysis module and system and forms module；The computing module, the life cycle rank being presently in for the survival time according to enterprise and financing number calculating enterprise Section；Described information analysis module, for carrying out big data statistics and information to each key element of enterprise operation according to different phase Analysis, obtain the enterprise operation key element priority ranking of each life cycle phase；The system forms module, for the enterprise operation key element priority ranking result according to each life cycle phase, Form individual enterprise's operation automatic analysis system.
- 10. the system of a kind of enterprise operation automated analysis according to claim 9, it is characterised in that the correction is single Member includes refinement module, mapping block, order module and optimization module；The refinement module, operations risks point and Operation Decision point for being faced to enterpriser are successively refined；The mapping block, for operations risks point and Operation Decision point to be formed into mapping relations；The order module, for carrying out priority ranking according to the enterprise operation key element of each life cycle phase；The optimization module, for crucial operation key element priority ranking and parameters weighting model knot based on different phase enterprise Industry parameters model needed for fruit and specific business life cycle stage, using machine learning algorithm to sorted operations risks Point and Operation Decision point are corrected optimization.
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