CN105335814B - Online big data intelligent cloud auditing method and system - Google Patents
Online big data intelligent cloud auditing method and system Download PDFInfo
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- CN105335814B CN105335814B CN201510620827.7A CN201510620827A CN105335814B CN 105335814 B CN105335814 B CN 105335814B CN 201510620827 A CN201510620827 A CN 201510620827A CN 105335814 B CN105335814 B CN 105335814B
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Abstract
The invention discloses a kind of online big data intelligent cloud auditing method and system, this method to include：Data acquisition, the basic data of cloud audit is gathered according to audit project, and basic data includes dynamic data and the market big data associated with enterprise, and real-time update basic data；Data processing, basic data is handled to obtain the first data for data analysis；Data analysis, the first data are analyzed by corresponding audit model according to audit demand to obtain the second data for service enterprise's production and management decision-making management；Data storage, the second data are stored using distributed high in the clouds storage mode, for subsequent calls.Both online audit is realized, and dynamic data and market big data are gathered by on-line search, realize online dynamic auditing, data are processed to obtain the data for service enterprise's management decision-making using corresponding audit model according to audit demand, from company interest real-time and efficient service can be provided for the life complete period of enterprise.
Description
Technical field
The present invention relates to information audit technical field, especially, be related to a kind of online big data intelligent cloud auditing method and
System.
Background technology
Cloud computing is a kind of brand-new leading information technology, and supercomputing and storage energy are realized with reference to IT technologies and internet
Power, and the power for promoting cloud computing to rise is the development of high speed internet and virtualization technology, it is more cheap and powerful in function
Chip and hard disk, the development of data center.Cloud computing can be regarded as Distributed Calculation, parallel computation, effectiveness is calculated, network is deposited
The traditional computers such as storage, virtualization, load balancing and the product of network technical development fusion.The key technology that cloud computing is related to has
A lot, including：Communication, Large-Scale Distributed Storage Technology, mass data processing technology, resource management, virtualization technology etc..
Big data (big data), or flood tide data, refer to that involved data quantity is huge to can not pass through
Main software instrument at present, acquisition, management are reached within the reasonable time, is handled and is arranged turns into help enterprise management decision-making more
The information of positive purpose.Big data has 4V features：Volume (a large amount of), Velocity (high speed), Variety (various),
Value (value).Big data needs special technology, effectively to handle the data in the substantial amounts of tolerance elapsed time.
The arrival of " mobile Internet+", it is meant that transboundary merge, innovation driving, remold structure, respect human nature, open life
The epoch of state arrive." mobile Internet+" is exactly " internet "+each traditional industries, utilizes computer technology, information communication skill
Art, cloud computing technology and internet platform, allow internet to carry out depth integration with traditional industries, create new development industry situation.
Big data, cloud computing era have penetrated into all conglomerate and operation function fields, turn into important part.According to authority
NIST definition, existing cloud computing is broadly divided into three kinds of service modes, is that infrastructure services IAAS respectively
(infrastructure as a service), predominantly user's service of providing infrastructures, including it is computer, server, anti-
Wall with flues, storage device and network equipment etc.；Platform services PAAS (platform as a service), and predominantly user carries
For application development, test and deployment platform, be by a complete system platform, including application design, application and development,
User is supplied to using test, using deployment and AH, all a kind of service of conduct；Software services SAAS (software
As a service), mainly provide the user the softwares such as application program.It can be said that these three service modes of cloud computing are all
From the angle of hardware device.
The major companies such as external Amazon, Google, IBM, Microsoft are all the forerunners of cloud computing, for example, Amazon makes
With elastic calculation cloud and simple storage service, calculating and storage service are provided for enterprise.GoogleDocs is the cloud released earliest
Application is calculated, it is similar to the office of Microsoft online office software, can handle and search for document, form, lantern slide, also
It can be shared by network with other people and Share Permissions are set.IBM is proposed the " blue of " change game rule " in November, 2007
Cloud " calculating platform, the cloud computing platform bought i.e. is brought for client.Cloud computing paces are closelyed follow by Microsoft, are pushed away in October, 2008
Windows Azure operating systems are gone out, have been after Windows substitutes DOS, the subversiveness again of Microsoft makes the transition-passed through
New cloud computing platform is made in internet, allows Windows really to be extended to by PC on " blue sky ".But external major company is in cloud computing
Research only relates to public service, data processing, on-line storage or the field such as shared, belongs to versatility research and development, it is not related to
And the correlation technique combined to cloud computing, big data with audit field.
Increasingly mature with cloud computing technology and application, the more users in China start to apply the service based on cloud, more
More enterprises starts to land cloud computing.However, it is such as universal Baidu/google search engine, or the drop of service-specific type
Row/58 is oozed with city etc., is all that personalized service is provided the user with big data information, thus its towards object mainly collect
In in user or consumer.
And traditional forms of enterprises's finance also rest on the initial stage done accounts of book keeping operation, traditional audit yet rest on check account audit,
The stage of post-event accounting.Even computer-assisted audit, such as the Computerized Accounting System of constituent parts, it is also only will audit
During voucher, the digitization such as information, and relate only to the historical data of individual enterprise, cause information island, counseling services
All it is disposable, needs to understand the situation of each enterprise again every time, and can not be the data relevant enterprise, trade trend number
According to etc. carry out pool utilization.In order to tackle increasingly severeer market challenges, it would be highly desirable to the sea by technological means to business finance
Utilization is excavated and analyzed to amount data, strengthens the data utilization ratio and the market competitiveness of enterprise.
The content of the invention
The invention provides a kind of online big data intelligent cloud auditing method and system, led with solving traditional information audit
Domain can not realize the technical problem of online dynamic continuance audit.
The technical solution adopted by the present invention is as follows：
According to an aspect of the present invention, there is provided a kind of online big data intelligent cloud auditing method, based on cloud computing and greatly
The combination of data, this method include：
Data acquisition, the basic data of cloud audit is gathered according to audit project, what basic data included associating with enterprise moves
State data, and real-time update basic data；
Data processing, basic data is handled to obtain the first data for data analysis；
Data analysis, the first data are analyzed to obtain for servicing enterprise by corresponding audit model according to audit demand
Second data of industry production and management decision-making management；
Data storage, the second data are stored using distributed high in the clouds storage mode, for subsequent calls.
Further, basic data includes but is not limited to：Enterprise's its data, enterprise are as the market residing for main market players
Information big data, public policy information data, industry guideline data, expertise data, on-line operation daily record data.
Further, data processing be it is a kind of in being loaded by data cleansing, data conversion, Data Integration and data or
It is a variety of to operate the first data that basic data is converted to the normalized number evidence for meeting accounting standard.
Further, intelligent auditing model and/or big data correlation of the data analysis based on auditor's knowledge mapping are examined
Meter method model obtains the second data.
Further, the inventive method also includes：
Data output, for the second data to be met into the visual pattern of users ' individualized requirement exports.
Further, audit project is cost accounting, and basic data includes but is not limited to：Internal cost, external cost, OK
Industry comparative costs, professional standard cost, preposition cost, society auerage cost；Wherein,
Internal cost includes all for enterprises decision-making, management, production, the tangible and nothing managed overall process and needed
The shape resource cost items of cost；
External cost refer to as enterprise itself beyond, economic environment as residing for enterprise, legal regulatory environment, market supplies
Ask environment, regional environment, social PE, relevant cost index caused by resource environment；
Industry comparative costs refer in enterprise's the industry as public's reference, objective reality, compare with cost
The leading indicator of costs of the enterprise of advantage and leading dynamic cost index；
Professional standard cost refer to same type enterprise in industry produce the same kind of goods or provide service of the same race it is average into
This；
Preposition cost include enterprise can reasonable prediction, can ensure that enterprise's going concern, and possess cost comparative advantages
Implicit costs project；
Society auerage cost referred within the time and space residing for enterprise, with reference to related price index, the consumption index, purchase
Buy power index, the consecutive mean cost index of economic tolerance.
According to another aspect of the present invention, there is provided a kind of online big data intelligent cloud auditing system, based on cloud computing and greatly
The combination of data, the system include：
Data acquisition unit, for gathering the basic data of cloud audit according to audit project, basic data includes and enterprise
The dynamic data of association, and real-time update basic data；
Data processing unit, for being handled basic data to obtain the first data for data analysis；
Data analysis unit, used for being analyzed according to audit demand by corresponding audit model the first data
In the second data of service enterprise's production and management decision-making management；
Data storage cell, for storing the second data using distributed high in the clouds storage mode, for subsequent calls.
Further, data acquisition unit uses NoSQL databases, including：
Static data import modul, for receiving static data；
Dynamic data handling module, for capturing dynamic data；
Dynamic Data Mining analysis module, for being excavated according to demand to the data in big data and analysis obtains institute
The target data needed.
Further, data storage cell includes：
Data encryption module, for setting data access authority；
Track storage module is analyzed, is identified and stores for the analysis track to data；
Doubtful point library storage module, for updating doubtful point storehouse and being called for data analysis unit, and when occurring with category information
Automatic early-warning.
Further, present system also includes：
Data outputting unit, for the second data to be met into the visual pattern of users ' individualized requirement exports.
The invention has the advantages that：
Online big data intelligent cloud auditing method of the invention and system, by the way that the technology of cloud computing and big data is applied extremely
Traditional audit field, online audit is both realized, and the dynamic data of enterprise's association is gathered by on-line search, realized online
Dynamic auditing, further, data are processed to obtain using corresponding audit model according to audit demand and given birth to for service enterprise
Industry seeks the data of administrative decision, can provide real-time and efficient service from company interest for the life complete period of enterprise.
Data message isolated island scattered in the past is connected by big data, and the integration of data is carried out by cloud computing technology, dug
Pick and analysis, the directiveness effect of big data is played, meanwhile, auditing method of the invention and system, time and region can be broken away from
Limitation, overturned traditional audit, brand-new auditing method and cost value reason be filled with for wisdom enterprise, wisdom economy
Read, liberated the producer, service entities economy, truly realize the producer, the two-way liberation of consumer and economic life
State balances.
In addition to objects, features and advantages described above, the present invention also has other objects, features and advantages.
Below with reference to figure, the present invention is further detailed explanation.
Brief description of the drawings
The accompanying drawing for forming the part of the application is used for providing a further understanding of the present invention, schematic reality of the invention
Apply example and its illustrate to be used to explain the present invention, do not form inappropriate limitation of the present invention.In the accompanying drawings：
Fig. 1 is the schematic flow sheet of the online big data intelligent cloud auditing method of the preferred embodiment of the present invention；
Fig. 2 is the schematic flow sheet of another online big data intelligent cloud auditing method of preferred embodiment of the present invention；
Fig. 3 is the structural representation of the online big data intelligent cloud auditing system of the preferred embodiment of the present invention；
Fig. 4 is the structural representation of preferred embodiment of the present invention data acquisition unit；
Fig. 5 is the structural representation of preferred embodiment of the present invention data storage cell.
Embodiment
It should be noted that in the case where not conflicting, the feature in embodiment and embodiment in the application can phase
Mutually combination.Describe the present invention in detail below with reference to the accompanying drawings and in conjunction with the embodiments.
The preferred embodiments of the present invention provide a kind of online big data intelligent cloud auditing method, based on cloud computing and big number
According to combination, to reform traditional auditing method and pattern, the present embodiment method is based on cloud computing platform and big data system, from
And substantial amounts of hardware resource is incorporated, and distribute resource according to the actual requirements beyond the clouds, and then more efficiently realize some row
The data analysis technique of hardware based powerful calculating ability, audited with serving online dynamic continuance.Reference picture 1, this implementation
Example method includes：
Step S100, data acquisition, the basic data of cloud audit is gathered according to audit project, basic data includes and enterprise
The dynamic data of association, and real-time update basic data；Gather the basic data related to audit project, the pass of the present embodiment
Key, which improves, to be, can not only gather itself history static data that audit project is related to enterprise, moreover it is possible to adopt by big data system
The collection various dynamic datas related to audit project, to realize online dynamic auditing, carried for the production and management decision-making management of enterprise
For the guide data of more science.
As a kind of preferable embodiment, in the present embodiment cloud audit process, basic number is used for using NoSQL databases
According to collection.NoSQL, refer to the database of non-relational, the generation of NoSQL databases is exactly to solve large-scale dataset
The challenge that multiple data species is brought, especially big data application problem are closed, can be that big data establishes quick, expansible deposit
Bank., it is necessary to first carry out logical data base setting in traditional relevant database, line character length is entered to each storage variable
Degree, type are set, and its data pattern is static.And in big data environment, data pattern is dynamic change, traditional
Database technology can not solve.Meanwhile for the amplification of data type, as data class such as document, form, picture, audio, videos
Type can not be stored among relevant database, and these will all turn into the data message needed for the audit of online cloud, because
This needs collection of the NoSQL databases for data.
As a kind of preferable embodiment, in the present embodiment data collection steps, online acquisition is all to be passed through for enterprise
Seek the basic data that management development provides advisory opinion, both imported comprising static interface, further include dynamic data grabber with
And Dynamic Data Mining and analysis, all data will be built into a large data center, for follow-up different audit model or
The various data analysing methods of person are processed.The present embodiment basic data includes but is not limited to the data letter of following six aspect
Breath：
1st, enterprise's its data：Include financial data, asset data, storage data, sales data, internal control flow number
According to etc..
2nd, enterprise is as the market information big data residing for main market players, such as residing industrial chain related data：Different rows
Industry it is different to the susceptibility of industrial chain demand data, it is necessary to data message it is also different, the degree of association and integration to data
Demand is less.By taking production enterprise as an example, it is necessary first to for the composition of the product back-tracing raw material of its production, pass through original
Material traces back to upstream supplier, supplier data can divider mould, a point region display, then pass through employer's organization or price
Office or the material quotation information that supplier is obtained with channels such as the cooperations of supplier, are referred to for manufacturing enterprise, to supply
Business carries out comprehensive comparison and screening, so as to select most suitable supplier, reaches permanent cooperative relationship.It is in addition, logical
The product for crossing production traces back to downwards client, and now enterprise is exactly the supplier as client, so circulation, and data can divide
Level reference, there is provided information.For new high-tech enterprise and service-type firm, human cost and R＆D costs are higher, Ke Nenggeng
The demand to talents information is laid particular emphasis on, so by arrangement of the large data center of foundation to talents information, can be precisely aligned
The demand of enterprise, remove the serial cost such as enterprises recruitment, communication, break-in from, this also by as an important ring for entreprise cost management and control,
Create value.
3rd, public policy information data：Include the related items of enterprise domestic and international economy, finance, tax revenue, trade, law etc.
Policies and regulations class data.
4th, industry guideline data：Associated dynamic information comprising enterprise's the industry, industry marker data information.
5th, expertise data：The serial on-line operation of expert is formed into record, and can be divided by computer technology
Analysis, machine is instructed according to the experience of the different risk partiality of expert, different field, different decision aidings is learnt, by people
Work language conversion is completed online intellectual analysis and exchanged into intelligent computer language.
6th, on-line operation daily record data：It is identified comprising the identity to user, is for example financial staff or high-rise pipe
Reason personnel, to the difference of the attention rate of problem, system carries out intellectual analysis, the user in different posies or different scales, difference
Which the most interested management problem of the enterprise of industry has, and then system carries out intelligent Matching, is timely and effectively enterprise
Automatically rational suggestion is provided.
Step S200, data processing, basic data is handled to obtain the first data for data analysis；
The present embodiment data processing be it is a kind of in being loaded by data cleansing, data conversion, Data Integration and data or
It is a variety of to operate the first data that basic data is converted to the normalized number evidence for meeting accounting standard.Data cleansing herein, number
It is existing data mart modeling processing means according to conversion, Data Integration, data loading, no longer it is described in detail herein.
As a kind of preferable mode, the present embodiment data processing uses the distributed processors system in cloud computing platform
System, is directed into distributed processor system, such as distributed data base or distributed storage collection by the basic data of front-end collection
Group, and clean on the basis of importing or pretreatment work, the processing needs of mass data, the importing of each second can be met
Amount often can reach 100,000,000, or even omen rank.Preferably, distributed processor system incorporates dynamic load leveling and group
Allotment mechanism is managed, platform can monitor the running status of each node of total system in real time, dynamically adjust and balanced complete set
The load of different resource in the range of system, so as to which the reasonable employment for solving large scale system well is asked with what is effectively managed
Topic.
Step S300, data analysis, the first data are analyzed to obtain by corresponding audit model according to audit demand
The second data for service enterprise's management decision-making；
The audit demand of the present embodiment, refers to the counseling services demand of user, i.e., the enterprise that is used for that user wants to obtain passes through
Seek administrative decision information or data, the present embodiment data analysis, by between analyzing financial data and financial data with
Relation between non-financial data, obtain correlation conclusion, comprising establish calculate middle table, with financial audit analysis model,
Multidimensional data analysis, data mining etc. carry out Audit data analysis.
As a kind of preferable embodiment, the present embodiment data analysis uses the distributed processors in cloud computing platform
System, such as distributed data base or distributed storage cluster, so as to being analyzed the mass data stored in the inner and/or
The processing such as Classifying Sum.Preferably, distributed processor system incorporates dynamic load leveling and management and group allotment mechanism, puts down
Platform can monitor the running status of each node of total system in real time, dynamically adjust and the difference money in balanced system-wide
The load in source, so as to solve the problems, such as the reasonable employment of large scale system and effectively management well.
As a kind of preferable embodiment, the present embodiment data analysis is entered based on the machine learning under big data environment
Row intellectual analysis, machine learning herein refer to find current ignorant thing among uncertain details.Machine learning
Conventional field has：Speech recognition, character recognition (OCR), text classification etc..The online cloud audit of the present embodiment is in big data environment
Under, carry out Audit data analysis and utilization machine learning, solve clustering problem, classification problem, Mining Frequent Itemsets Based.Occur for new
Text Audit data type, machine learning can by cluster application by it by feature packet；Quilt is corrected by classification problem
The Audit data information of misascription；Frequent item set mining can then be used for the frequent co-occurrence feature in Audit data, illustrate it
Between have certain association.Preferably, the present embodiment data analysis more analyze on line collecting with dependency relation and
It was found that audit information.Because big data technology provides unprecedented dimension that is cross-cutting, being available for quantization so that audit issues
Substantial amounts of relevant information can be able to record and calculate analysis.The cause and effect that big data, cloud computing technology do not change between things is closed
System, but the development and utilization in big data, cloud computing technology to dependency relation so that data analysis is to causal logic relation
Dependence reduces, or even more tends to apply the data analysis based on dependency relation, based on dependency relation is analyzed
Checking is big data, a key character of cloud computing technology.The present embodiment online audit comes from traditional dependence causality
Audit evidence is collected and found, is transformed into and collects and find audit evidence using dependency relation on line.
As a kind of preferable embodiment, " sample=totality " is implanted into the mould of online audit by the present embodiment data analysis
In formula.Compared to dependent on part, finite decimal evidence and digital accuracy, closing solidification pattern, the stronger adjusting data of big data it is wide
General property, representativeness, correlation and timeliness so that further to the truth of things, online big data intelligent cloud audit is pursued
Be things " overall picture " and " efficient ", accurately dock problem, solve problem.Around big data, when implementing online audit,
Using big data, cloud computing technology, the new skills such as distributed topological structure, cloud database, cluster audit, data mining are used
Art means and instrument, solves most of work on line.
As a kind of preferable embodiment, intelligent auditing mould of the present embodiment data analysis based on auditor's knowledge mapping
Type and/or big data correlation auditing method model obtain the second data.Wherein, intelligent auditing model and/or big data are related
Property auditing method model can preset and be stored on cloud computing platform, for data analysis call.
By taking the data processing and data analysis of medical industry as an example, such as, gather pharmaceuticals industry upstream product or material valency
Lattice information, then classified：Pricing information etc. between a few class product informations and timesharing such as point Chinese medicine, Western medicine, Chinese and Western medicine, with user
Some product in some classification and the price of same time in unit drug stock management system are compared, and screen, from
Difference and division difference section of the dynamic identification with trade information pricing information, the then essential information in Subscriber Unit and submission
It is further analyzed on the basis of other data informations, what this analysis can not isolate treats each product, allows
Each product of Subscriber Unit is cleaned, rather than traditional takes the mode of sampling or directly to select the amount of money bigger
Foundation of the product as analysis.Analyzed using pharmaceuticals industry upstream product or material price information and look for dependency relation evidence
Prove whether the price of product true as further analysis, rather than using traditional causality, be data and data it
Between analysis rather than traditional numeral between relation, then further search gap the reason for, finally reach preferably
Analytical effect.And the analysis track of process also can be identified and retain, the data as method base.The data of big data analysis are not
Only it is macro-data, in addition to endlessly collects the multidate information of enterprise, and doubtful point storehouse, method base, continuous renewal
Data, same category information occur can be with automatic early-warning.
Step S400, data storage, the second data are stored using distributed high in the clouds storage mode, for subsequent calls.
In the present embodiment, all data include copy and backup, and being stored in contract, SLA and regulation allows
Geographical position.Preferably, data storage establishes data access control, it is highly preferred that carrying out data encryption and/or data being entered
Row data grade distinguishing, separately storage.The present embodiment high in the clouds data storage, both safe and secret, the hardware for saving enterprise again is set
Standby space and acquisition cost, maintenance cost.In addition, by high in the clouds data interaction and rights management, enterprise information system is no longer
One information island, enterprise can ask for data to affiliate, supplier, agent at any time, and the transmission of data is direct
Carry out beyond the clouds, substantially increase efficiency.
In another embodiment, reference picture 2, the inventive method also include：
Step S500, data output, for the second data to be met into the visual pattern of users ' individualized requirement exports.
This step utilizes computer graphics, image processing techniques or other office softwares, such as excel, by data
Or data results are converted into the forms such as figure, image, form, file, and processing can be interacted, so can be apparent
Information is given expression to, and client can be consigned to as service product.
The present embodiment had both realized online examine by the way that the technology of cloud computing and big data is applied to traditional audit field
Meter, and dynamic data is gathered by on-line search, online dynamic auditing is realized, further, according to audit demand using corresponding
Audit model is processed to obtain the data for service enterprise's management decision-making to data, can be from company interest
The life complete period of enterprise provides to be serviced in real time and efficiently.Data message isolated island scattered in the past is contacted by big data
Come, and integration, excavation and the analysis of data are carried out by cloud computing technology, play the directiveness effect of big data, meanwhile, this hair
Bright auditing method, the limitation of time and region can be broken away from, has overturned traditional audit, be wisdom enterprise, wisdom economy note
Brand-new auditing method and cost value theory are entered, have liberated the producer, service entities economy, truly realized life
Production person, the two-way liberation of consumer and Economic ecological balance.
Come below using cost accounting as dynamic auditing project special case is continued online to the present embodiment online big data intelligence
Auditing method illustrates：
First, data acquisition, the various productions that entreprise cost refers to occur to produce certain product expend, given birth to comprising product
The flexibe work(labour) and all aspects of objectivized labour that production expends, i.e. enterprise's totle drilling cost=∑ PiQi, i 1~n of ∈, wherein, P is single
Items of cost price, Q are the quantity of single cost project, and i is i-th kind of items of cost, and n is the n kind items of cost.Mainly comprising interior
It is interior in terms of portion's cost, external cost, industry comparative costs, professional standard cost, preposition cost, society auerage cost six
Hold, six big costs herein are defined as follows：
1st, internal cost include it is all for enterprises decision-making, management, production, manage overall process and need tangible and
Intangible resource Expenses Cost project.Internal cost herein is static, closing, solidification historical cost data.
2nd, economic environment beyond external cost refers to as enterprise itself, as residing for enterprise, legal regulatory environment, market
Supply and demand environment, regional environment, social PE, relevant cost index caused by resource environment.The present embodiment passes through cloud meter
Calculate the platform external cost related to big data system acquisition enterprise, based on data one of content.
3rd, industry comparative costs refer in enterprise's the industry as the public reference, objective reality, there is cost ratio
The leading indicator of costs and leading dynamic cost index compared with the enterprise of advantage.
4th, professional standard cost refers to that same type enterprise produces the same kind of goods or provides being averaged for service of the same race in industry
Cost；Professional standard cost is typically organized to set up by large range of specialized company or authorities, is had in a big way
Adaptability.
5th, preposition cost include enterprise can reasonable prediction, can ensure that enterprise's going concern, and possess cost comparative advantages
Implicit costs project；For example, environmental pollution improvement's cost, carbon emission prevention cost, science and technology renewal cost.
6th, society auerage cost referred within the time and space residing for enterprise, with reference to related price index, the consumption index,
Buying power index, the consecutive mean cost index of economic tolerance.
Above-mentioned cost parameter not only will be recorded and presented, example with the static various chart datas of enterprise, lteral data information
Such as various raw material information tables, public raw material material consumption table, wage accounting table, buying deck watch, absorption of costs table, intermediate products cost
Computational chart, account for sales etc.；Meanwhile can also collect various dynamic data messages, such as public tax revenue policy information, converge in time
Rate rate information, the credit file information of client, tax invoice statistical information, professional standard value information, identical product society are flat
Equal cost information；Further include with reference to market big data to the latency environment pollution of same industry and treatment cost analysis index, science and technology
Renewal speed constitutes a threat to the related data information of index to this enterprise.The present embodiment passes through cloud computing platform and big data system
Above-mentioned six big cost data are gathered, the data source of more science is provided for follow-up cost accounting, it is scientific and rational to obtain
Forecasting of cost, enterprise Risk-warning ability, so as to maintain an edge and establish oneself in an unassailable position in market competition.
2nd, data processing, the system first production procedure to company's various products and Decision-Making of Cost process are patterned
Modeling, therefrom takes out mathematical modeling；Then, the demand that system is sent according to model to the demand of relevant cost parameter and user
Application, is cleaned to the data message collected, is screened, changed and load, and is transported to data analysis module, is carried out specific
Data analysis works.
3rd, data analysis, the setting of foundation and rule based on dynamic cost model under big data environment is into Mobile state
The basis of data analysis, mainly treated cost data information is divided automatically by establishing the dynamic model of series
Analysis, draw corresponding valuable output information.
Because the type of costs that different enterprises are related to is various, each not phase of flow of different types of enterprise's production product
Together, intermediate products and final products species are various, and each manufacture course of products may because of buy new equipment, improve life
Produce step and changed, so dynamic cost algorithm model must have flexibility and the scalability of height, to adapt to reality
The change at any time of border production process demand, so as to by the simplification of complicated practical problem, be abstracted as rational computer data
The process of structure.Then go to analyze and solve problem using computerized algorithm, substitute the manual operations of cost accounting teacher, carry out intelligence
The cost accounting work of energyization, help carry out Decision-Making of Cost.
In data analysis process, it is crucial to set specific dynamic cost model and algorithmic rule, utilizes big data technology
Various cost parameters are subjected to depth excavation and analysis, and are combined with various models, draw the data message of various combination, from
The all angles of Decision-Making of Cost carry out multidimensional analysis and displaying, draw comprehensive instruction.
4th, data storage, data storage and management mode based on high in the clouds.
5th, data visualization exports：In face of the visualization data output of enterprise customer's individual demand.System supports figure
A variety of output forms such as shape, image, chart, word, user can be according to the requirements that most can clearly express oneself demand, to cost
Adjust and the expression way of the result of decision is selected.
The present embodiment is established on the basis of big data for the big data intelligent cloud audit of cost accounting, bases oneself upon six great achievements
This, i.e. internal cost, external cost, industry comparative costs, professional standard cost, preposition cost, society auerage cost, not only from
The product design of enterprises to produce and sell and after-sale service whole business process, around the inside of enterprise's complete cost
Management and control, more based on long-range, overall development strategic objective, seek the persevering cost advantage of enterprise, with special
Method provide enterprise in itself and its rival analysis of data, help manager formed and evaluation corporate strategy, so as to create
Competitive advantage, to reach the purpose that enterprise effectively adapts to the outside environment persistently changed., can be with for example, by cost accounting
Ensure that enterprise occupies leading position during competitive tender mark.
The present embodiment big data intelligent auditing cost management begins to reduce cost from design phase and exploitation programming phase
Activity, cost benefit idea is established, forecasting of cost and level of decision-making, the overall efficiency with enterprise are improved from comprehensive, overall process
Connect, cost and its control problem are treated with dynamic cost benefit concept, treated from the comparative analysis of input and output
Necessity, the reasonability of input, go to determine the lifting of cost from the angle of benefit, the dynamic pipe of cost is carried out centered on benefit
Reason；Scientific and technical innovation idea is established, adheres to that technology is combined with economy.Efficiently with new technology, new equipment, new technology and green wood
Material, product cost is reduced by modern science and technology.Meanwhile be considered as in cost accounting by the scientific and technological content of product include arrive into
In this, it is easy to enterprise to carry out correct decision-making.
According to another aspect of the present invention, a kind of online big data intelligent cloud auditing system is also provided, based on cloud computing and
The online big data intelligent cloud of the combination of big data, the online big data intelligent cloud auditing system of the present embodiment and above-described embodiment is examined
Meter method is corresponding, and reference picture 3, the present embodiment system includes：
Data acquisition unit 100, for gathering the basic data of cloud audit according to audit project, basic data includes and enterprise
The dynamic data of industry association, and real-time update basic data；The basic data related to audit project is gathered, the present embodiment
It is critical that itself history static data that audit project is related to enterprise can not only be gathered, moreover it is possible to pass through big data system acquisition
The various dynamic datas related to audit project, to realize online dynamic auditing, more science is provided for the business decision of enterprise
Guide data.
As a kind of preferable embodiment, in the present embodiment cloud audit process, basic number is used for using NoSQL databases
According to collection.NoSQL, refer to the database of non-relational, the generation of NoSQL databases is exactly to solve large-scale dataset
The challenge that multiple data species is brought, especially big data application problem are closed, can be that big data establishes quick, expansible deposit
Bank., it is necessary to first carry out logical data base setting in traditional relevant database, line character length is entered to each storage variable
Degree, type are set, and its data pattern is static.And in big data environment, data pattern is dynamic change, traditional
Database technology can not solve.Meanwhile for the amplification of data type, as data class such as document, form, picture, audio, videos
Type can not be stored among relevant database, and these will all turn into the data message needed for the audit of online cloud, because
This needs collection of the NoSQL databases for data.
Include as a kind of preferable embodiment, reference picture 4, data acquisition unit 100：
Static data import modul 110, for receiving static data；
Dynamic data handling module 120, for capturing dynamic data；
Dynamic Data Mining analysis module 130, for the data in big data to be excavated and analyzed according to demand
To required target data.
The present embodiment data acquisition unit 100, online acquisition is all to provide advisory opinion for enterprise operation and management development
Basic data, comprising static data, further include dynamic data grabber and Dynamic Data Mining and analysis, all data
A large data center will be built into, will be processed for follow-up different audit model or various data analysing methods.
The present embodiment basic data includes but is not limited to the data message of following six aspect：Enterprise's its data, enterprise are as market master
Market information data residing for body, such as residing industrial chain related data, public policy information data, industry guideline data, expert
Empirical data, on-line operation daily record data.The definition reference method embodiment of above-mentioned data, here is omitted.
Data processing unit 200, for being handled basic data to obtain the first data for data analysis；
The present embodiment data processing unit 200 is one in being loaded by data cleansing, data conversion, Data Integration and data
Kind or a variety of operations are converted to basic data the first data of the normalized number evidence for meeting accounting standard.Data herein are clear
Wash, data conversion, Data Integration, data loading be existing data mart modeling processing means, no longer it is carried out in detail herein
Repeat.
As a kind of preferable mode, the present embodiment data processing unit 200 is used at the distribution in cloud computing platform
Device system is managed, the basic data of front-end collection is directed into distributed processor system, such as distributed data base or distribution
Storage cluster, and clean on the basis of importing or pretreatment work, the processing needs of mass data, each second can be met
Import volume often can reach 100,000,000, or even omen rank.Preferably, distributed processor system incorporates dynamic load leveling
Mechanism is allocated with management and group, platform can monitor the running status of each node of total system in real time, dynamically adjust and
The load of different resource in the system-wide that weighs, so as to solve the reasonable employment of large scale system and effectively management well
The problem of.
Data analysis unit 300, for by corresponding audit model analyze to the first data according to audit demand
To the second data for service enterprise's management decision-making；
As a kind of preferable embodiment, the present embodiment data analysis unit 300 is using the distribution in cloud computing platform
Formula processor system, such as distributed data base or distributed storage cluster, so as to be carried out to the mass data stored in the inner
The processing such as analysis and/or Classifying Sum.Preferably, distributed processor system incorporates dynamic load leveling and management and group is adjusted
With mechanism, platform can monitor the running status of each node of total system in real time, dynamically adjust and balanced system-wide
The load of interior different resource, so as to solve the problems, such as the reasonable employment of large scale system and effectively management well.
As a kind of preferable embodiment, the present embodiment data analysis unit 300 is based on the machine under big data environment
Device study carries out intellectual analysis, and machine learning herein refers to find current ignorant thing among uncertain details.
The conventional field of machine learning has：Speech recognition, character recognition (OCR), text classification etc..The online cloud audit of the present embodiment is big
Under data environment, carry out Audit data analysis and utilization machine learning, solve clustering problem, classification problem, Mining Frequent Itemsets Based.It is right
In emerging text Audit data type, it can be grouped by machine learning by clustering application by feature；Asked by classification
Topic is corrected by the Audit data information of misascription；The frequent co-occurrence that frequent item set mining can then be used in Audit data is special
Sign, illustrates there is certain association between them.Preferably, the present embodiment data analysis is more analyzed with dependency relation on line
To collect and find audit information.Because big data technology provides unprecedented dimension that is cross-cutting, being available for quantization so that
The substantial amounts of relevant information of audit issues can be able to record and calculate analysis.Big data, cloud computing technology do not change between things
Causality, but the development and utilization in big data, cloud computing technology to dependency relation so that data analysis is patrolled cause and effect
The dependence for the relation of collecting reduces, or even more tends to apply the data analysis based on dependency relation, is analyzed with dependency relation
Based on checking be big data, a key character of cloud computing technology.The present embodiment online audit from traditional dependence because
Audit evidence is collected and found to fruit relation, is transformed into and collects and find audit evidence using dependency relation on line.
As a kind of preferable embodiment, " sample=totality " is implanted into online by the present embodiment data analysis unit 300
In the pattern of audit.More emphasize to count compared to dependent on local finite small data and digital accuracy, closing solidification pattern, big data
According to popularity, representativeness, correlation and timeliness so that further to the truth of things, online big data intelligent cloud is examined
What meter was pursued is things " overall picture " and " efficient ", Dock With Precision Position problem, solves problem.Around big data, implementing online examine
Timing, it is new using distributed topological structure, cloud database, cluster audit, data mining etc. using big data, cloud computing technology
The technological means and instrument of type, solves most of work on line.
As a kind of preferable embodiment, intelligence of the present embodiment data analysis unit 300 based on auditor's knowledge mapping
Energy audit model and/or big data correlation auditing method model obtain the second data.Wherein, intelligent auditing model and/or big
Data dependence auditing method model can preset and be stored on cloud computing platform, so that data analysis is called.
Data storage cell 400, for storing the second data using distributed high in the clouds storage mode, for subsequent calls.
Include as a kind of preferable embodiment, reference picture 5, data storage cell 400：
Data encryption module 410, for setting data access authority；
Track storage module 420 is analyzed, is identified and stores for the analysis track to data；
Doubtful point library storage module 430, for updating doubtful point storehouse and being called for data analysis unit, and there is same category information
When automatic early-warning.
In the present embodiment, all data include copy and backup, and being stored in contract, SLA and regulation allows
Geographical position.Preferably, data access control is established to data storage by data encryption module 410, it is highly preferred that carrying out
Data encryption and/or to data carry out data level differentiation, separately storage.The present embodiment high in the clouds data storage, it is both safe and secret,
Hardware device space and acquisition cost, the maintenance cost of enterprise are saved again.In addition, pass through high in the clouds data interaction and authority pipe
Reason, enterprise information system is no longer an information island, and enterprise can ask for number to affiliate, supplier, agent at any time
According to, and the transmission of data is directly carried out beyond the clouds, substantially increases efficiency.Preferably, by analyzing track storage module
420, the process of data processing store and supplier Faku County is called, the intelligent level of lifting cloud audit.Preferably, pass through
Doubtful point library storage module 430 updates doubtful point storehouse, realizes and occurs with automatic early-warning during category information, enterprise is moved in real time so as to realize
State is audited, and meets the audit demand of enterprise's Life cycle.
Alternatively, present system also includes：
Data outputting unit 500, for the second data to be met into the visual pattern of users ' individualized requirement exports.
The utilization of data outputting unit 500 computer graphics, image processing techniques or other office softwares, such as excel,
Data or data results are converted into the forms such as figure, image, form, file, and processing can be interacted, so can be more
Information is clearly given expression to, and client can be consigned to as service product.
Description more than is it is known that the online big data intelligent cloud auditing method of the present embodiment and system, by by cloud
Calculate and applied with the technology of big data to traditional audit field, both realize online audit, and dynamic is gathered by on-line search
Data, online dynamic auditing is realized, further, data are processed to obtain using corresponding audit model according to audit demand
For the data of service enterprise's management decision-making, can from company interest, for enterprise the life complete period provide in real time and
Efficient service.Data message isolated island scattered in the past is connected by big data, and line number is entered by cloud computing technology
According to integration, excavation and analysis, play big data directiveness effect, meanwhile, auditing method of the invention and system, can break away from
Time and the limitation of region, have overturned traditional audit, for wisdom enterprise, wisdom economy be filled with brand-new auditing method and
Cost value theory, the producer, service entities economy are liberated, truly realized the two-way solution of the producer, consumer
Put and Economic ecological balance.
The preferred embodiments of the present invention are the foregoing is only, are not intended to limit the invention, for the skill of this area
For art personnel, the present invention can have various modifications and variations.Within the spirit and principles of the invention, that is made any repaiies
Change, equivalent substitution, improvement etc., should be included in the scope of the protection.
Claims (9)
1. a kind of online big data intelligent cloud auditing method, it is characterised in that the combination based on cloud computing and big data, the side
Method includes：
Data acquisition, the basic data of cloud audit is gathered according to audit project, and the basic data relates to including the audit project
And enterprise itself history static data, by the big data system acquisition various dynamic datas related to the audit project,
And basic data described in real-time update；
Data processing, the basic data is handled to obtain the first data for data analysis；First data are
Meet the normalized number evidence of accounting standard；Data analysis, corresponding audit model is pressed to first data according to audit demand
Analyzed to obtain the second data for service enterprise's production and management decision-making management；The data analysis is based in big data ring
Machine learning under border carries out intellectual analysis, intelligent auditing model of the data analysis based on auditor's knowledge mapping and/or
Big data correlation auditing method model obtains second data；
Data storage, second data are stored using distributed high in the clouds storage mode, for subsequent calls.
2. online big data intelligent cloud auditing method according to claim 1, it is characterised in that
The basic data includes but is not limited to：Enterprise's its data, enterprise are as the big number of market information residing for main market players
According to, public policy information data, industry guideline data, expertise data, on-line operation daily record data.
3. online big data intelligent cloud auditing method according to claim 1, it is characterised in that
The data processing is one or more kinds of operations in being loaded by data cleansing, data conversion, Data Integration and data
The basic data is converted to first data for the normalized number evidence for meeting accounting standard.
4. online big data intelligent cloud auditing method according to claim 1, it is characterised in that also include：
Data output, for second data to be met into the visual pattern of users ' individualized requirement exports.
5. online big data intelligent cloud auditing method according to claim 1, it is characterised in that
The audit project is cost accounting, and the basic data includes but is not limited to：Internal cost, external cost, industry ratio
Compared with cost, professional standard cost, preposition cost, society auerage cost；Wherein,
The internal cost includes all for enterprises decision-making, management, production, the tangible and nothing managed overall process and needed
The shape resource cost items of cost；
The external cost refer to as enterprise itself beyond, economic environment as residing for enterprise, legal regulatory environment, market supplies
Ask environment, regional environment, social PE, relevant cost index caused by resource environment；
The industry comparative costs refer in enterprise's the industry as public's reference, objective reality, compare with cost
The leading indicator of costs of the enterprise of advantage and leading dynamic cost index；
The professional standard cost refer to same type enterprise in industry produce the same kind of goods or provide service of the same race it is average into
This；
The preposition cost include enterprise can reasonable prediction, caused will have during following going concern and continue cost
The implicit costs project of advantage；
The society auerage cost referred within the time and space residing for enterprise, with reference to related price index, the consumption index, purchase
Buy power index, the consecutive mean cost index of economic tolerance.
A kind of 6. online big data intelligent cloud auditing system, it is characterised in that the combination based on cloud computing and big data, including：
Data acquisition unit, for gathering the basic data of cloud audit according to audit project, the basic data includes described examine
Meter project is related to itself history static data of enterprise, by various dynamic related to the audit project of big data system acquisition
State data, and basic data described in real-time update；
Data processing unit, for being handled the basic data to obtain the first data for data analysis；Described
One data are to meet the normalized number evidence of accounting standard；
Data analysis unit, used for being analyzed according to audit demand by corresponding audit model first data
In the second data of service enterprise's production and management decision-making management；The data analysis unit is based on the machine under big data environment
Study carries out intellectual analysis, and the intelligent auditing model based on auditor's knowledge mapping and/or big data correlation auditing method
Model obtains second data；
Data storage cell, for storing second data using distributed high in the clouds storage mode, for subsequent calls.
7. online big data intelligent cloud auditing system according to claim 6, it is characterised in that
The data acquisition unit uses NoSQL databases, including：
Static data import modul, for receiving static data；
Dynamic data handling module, for capturing dynamic data；
Dynamic Data Mining analysis module, it is required for the data in big data being excavated and being analyzed according to demand obtain
Target data.
8. online big data intelligent cloud auditing system according to claim 6, it is characterised in that
The data storage cell includes：
Data encryption module, for setting data access authority；
Track storage module is analyzed, is identified and stores for the analysis track to data；
Doubtful point library storage module, for updating doubtful point storehouse and being called for the data analysis unit, and when occurring with category information
Automatic early-warning.
9. according to any described online big data intelligent cloud auditing system of claim 6 to 8, it is characterised in that also include：
Data outputting unit, for second data to be met into the visual pattern of users ' individualized requirement exports.
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