CN109325839A - A kind of VAT invoice applied analysis system based on large data center - Google Patents
A kind of VAT invoice applied analysis system based on large data center Download PDFInfo
- Publication number
- CN109325839A CN109325839A CN201811097249.3A CN201811097249A CN109325839A CN 109325839 A CN109325839 A CN 109325839A CN 201811097249 A CN201811097249 A CN 201811097249A CN 109325839 A CN109325839 A CN 109325839A
- Authority
- CN
- China
- Prior art keywords
- data
- invoice
- module
- analysis
- control centre
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q40/00—Finance; Insurance; Tax strategies; Processing of corporate or income taxes
- G06Q40/10—Tax strategies
Landscapes
- Business, Economics & Management (AREA)
- Accounting & Taxation (AREA)
- Development Economics (AREA)
- Finance (AREA)
- Engineering & Computer Science (AREA)
- Economics (AREA)
- Marketing (AREA)
- Strategic Management (AREA)
- Technology Law (AREA)
- Physics & Mathematics (AREA)
- General Business, Economics & Management (AREA)
- General Physics & Mathematics (AREA)
- Theoretical Computer Science (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
Abstract
The VAT invoice applied analysis system based on large data center that the present invention provides a kind of, belongs to tax information process field.The problems such as the present invention is based on the acquisition of the big data of Hadoop, analysis, processing, mainly solve mass data operational performance, data processing time, data sharing and application, and data modeling is processed.The present invention can invoice data to unanimous vote kind, expropriation and management data and declaration data be compared, realize the scanning shown to the multidimensional of all kinds of invoice informations of taxpayer and to various risks point, predict the tendency of invoice behind enterprise management behavior and industrial sectors of national economy, the problems such as to risk doubtful point Enterprises'Forewarning and establishing account publication performance tracking, meets the requirement of a large amount of efficient analysis processing tax reciept data.
Description
Technical field
The invention belongs to tax information process field, in particular to a kind of VAT invoice application based on large data center
Analysis system.
Background technique
The examination & approval of China's VAT invoice and do tax process bred some enterprises by policy " bonus " write out falsely the name of an article, disobey
Rule deduction income, the change name of an article write out falsely invoice, increase emptily production capacity and write out falsely invoice, preferential tax revenue political affairs are enjoyed in few payments of duty of deducting more in violation of rules and regulations
Plan, declare the amount of tax to be paid and actually make out an invoice the amount of tax to be paid it is inconsistent the problems such as, the tax authority generally requires to reinforce to the subsequent of VAT invoice
Monitoring management, trace analysis taxpayer's invoice uses and tax declaration situation.
The country for tax revenue informationization research also constantly explore and innovate, construction of tax informatization course also with
When all into, successively undergo two stages, one breakthrough, the first stage is the tax collection and administration system Construction using CTAIS as core, should
System national tax authorities at various levels establish one it is unified, complete, comprehensive, strict cover three application levels,
The large-scale application system of four networks.This stage research direction is mainly reflected in tax collection and administration and based on data warehouse technology
Tax collection and administration decision support research.Second stage is the core expropriation and management System Construction based on three phase of Golden Taxes (referred to as gold three),
The system around " platform, two-stage treatment, three covering, four systems " overall goal and establish, general requirement
Are as follows: " building is received on apparent sign premised on both sides' right and business, is guiding with risk management, based on specialized management, with
Emphasis tax source management is impetus, and the modernization tax collection and administration system of support is turned to information ".This stage emphasis of research exists
Manage the tax in accordance with the law and enterprise's concerning taxes risk analysis and prevention etc..
In recent years, increase work as battalion changes and move forward steadily, correlation is made out an invoice data, declaration data, impose data present it is several
What grade increases, and especially using electronics bottom account as the data of making out an invoice of core, growth effect is obvious, and the tax authority on the one hand will be based on existing
Some data volumes, accurately analyze the current situation of every profession and trade, each department, each ticket kind, on the other hand existing short slab is wanted
With comparing over the years, ring ratio, on year-on-year basis analysis are carried out to national economic development situation, predict economic development trend.Meanwhile
It to be studied and judged, early warning and effectively be traced for being related to unlawful practice in taxation, therefore, traditional means of numerical analysis is not
It is able to satisfy the analysis requirement of current section, with the continuous maturation of big data theory, big data technology is in tax source management and monitoring side
The application and theoretical research in face are daily active.
It in China's tax revenue informationization starting evening, quickly grows, from earliest CTAIS1.0 to CTAIS2.0 again to golden three cores
Expropriation and management system, the level of IT application is higher and higher, and management also increasingly refines.The emphasis of research is from the tax System establishment to the tax
Informatization arrives tax revenue Controlling research to Tax Compliance management again, progressive.Especially in big data background and associated row
Under industry successful case, data management, data mining and the tax risk management of tax revenue become the emphasis of each scholar research.
Foreign countries are in terms of tax revenue informatization research, the importance of most attention revenue data, and tax revenue big data is considered as one
The important resource of kind pushes tax jurisdiction optimization by analysis and utilization and improves opinion about taxation efficiency, with going deep into for big data
Using foreign scholar starts based on tax revenue big data, analyzes taxpayer's behavior, to tax revenue collection and national every profession and trade
Economic relation and restraining factors are studied, and play the application effect of big data to greatest extent.State has been used for reference in present invention absorption
Outer result of study has also carried out correlative study and design to the economic relation of tax revenue and industrial sectors of national economy.
Summary of the invention
To solve the above-mentioned problems, the present invention provides a kind of VAT invoice applied analysis system based on large data center
System is realized to the VAT invoice data of magnanimity, a variety of data sources, tax collection and administration data, other taxpayer's related datas
It is analyzed and is compared, to find wherein potential tax problems.
A kind of VAT invoice applied analysis system based on large data center, comprising:
Large data center and control centre, the large data center are connect with control centre, for carrying out to tax data
Acquisition, analysis processing;
The large data center is based on Hadoop technology and builds, including Sqoop module, MapReduce module, HDFS distribution
Formula file system, Hive module, relational database, PostgreSQL database and Mahout module, the HDFS distributed file system
Connect the Sqoop module, MapReduce module, Hive module and Mahout module;
The Sqoop module is based on Sqoop technology and acquires data from operation system and be transmitted to the HDFS distribution
File system;
The MapReduce module be based on MapReduce technology from partly-structured data file, journal file and
Data are acquired in Excel table and are transmitted to the distributed file system;
Collected data are carried out ETL process by the Hive module by the HDFS distributed file system, and are led to
Crossing the Hive module, result data is transmitted to the control centre by treated;
The Sqoop module is also used to that result data is transmitted to the relational database, the relationship number by treated
It is used to show the result data polarity data according to library;
The MapReduce module is also used to that result data is transmitted to the PostgreSQL database by treated, described to open
Source database is based on Hbase and carries out data directory;
The Mahout module is used for data mining.
Further, the VAT invoice applied analysis system further includes data analysis module, and the data analyze mould
Block is connect with control centre, receives the result data of the control centre;
The data analysis module include income analysis, pin item analysis, invoice source place analysis, invoice flow direction analyze,
Enterprise's stream and six submodules of cargo stream, for by the excavation and analysis to result data, by invoice stream, cargo stream, enterprise
Stream is shown according to industry and region.
Further, the VAT invoice applied analysis system further includes comprehensive inquiry module, the comprehensive inquiry mould
Block is connect with described with control centre, receives the result data of the control centre;
The comprehensive inquiry module includes that family formula inquiry, income invoice inquiry and sales invoice inquire three submodules,
By to the tax authority, date of making out an invoice, Invoice category, invoice property, taxpayer, invoice codes, invoice number, the tax rate, calcellation
Mark is arranged to realize the accurate lookup to invoice;
Further, the VAT invoice applied analysis system further includes data early warning module, the data early warning mould
Block is connect with described with control centre, receives the result data of the control centre;
The data early warning module include into pin item difference monitoring, customized doubtful point monitoring, procurement of agricultural product invoice monitoring,
Small-scale taxpayer's monitoring up to standard, taxpayer's doubtful point information monitoring, credit note abnormal monitoring, is cancelled declaration form abnormal monitoring
Invoice abnormal monitoring, the amount of money are uprushed, and invoice monitors, pin item account sales monitors, the monitoring of income account sales, tax reduction and exemption exception prison
It controls, declare and red less than 0 abnormal monitoring, common invoice rush abnormal monitoring, special ticket The Scarlet Letter information list abnormal monitoring to make out an invoice and make out an invoice
And there are tax arrear 16 early warning submodules of abnormal monitoring and risk to correspond to work account, for being monitored in real time to the source of tax revenue, data
Systematization analysis and risk are precisely coped with.
Further, the VAT invoice applied analysis system further includes system management module, the system administration mould
Block is connect with described with control centre, receives the result data of the control centre;
The system management module is used to carry out hierarchical management to the VAT invoice applied analysis system.
Further, the VAT invoice applied analysis system further includes seeing plate module today, sees template die described today
Block is connect with described with control centre, receives the result data of the control centre;
See that plate module carries out figure into pin item situation for the VAT invoice to nearest a period of time and indicates to divide described today
Analysis is shown.
Beneficial effects of the present invention: the present invention provides a kind of VAT invoice applied analysis system based on large data center
System largely efficient analysis can handle tax reciept data, reduce the workload of tax staff, improve working efficiency and quality.Pass through
Tax registration information, the processing comparison processing that detail, tax declaration information are issued into sales invoice, enhance subsequent regulatory measure,
Promote the fining of invoice follow-up management.By the Screening Treatment of doubtful point taxpayer and doubtful point invoice, doubtful point information is regularly published, is mentioned
Expropriation and management quality is risen, tax risk is promoted to manage normalization.It is dug by operation information, tax payment information, the depth of financial statement data
Pick is converted with cleaning, is cleared taxpayer and is managed train of thought, discloses source of tax revenue development characteristic between interregional, industry, and tax revenue economy hair is studied and judged
Exhibition trend promotes service economy developing ability specialized, improves the perspective and sensibility of economic tax work.
Detailed description of the invention
Fig. 1 is a kind of knot for VAT invoice applied analysis system based on large data center that the embodiment of the present invention proposes
Structure schematic diagram.
Fig. 2 is the structural schematic diagram of the large data center of the embodiment of the present invention.
Fig. 3 is the structural schematic diagram of the data analysis module of the embodiment of the present invention.
Fig. 4 is the structural schematic diagram of the comprehensive inquiry module of the embodiment of the present invention.
Fig. 5 is the structural schematic diagram of the data early warning module of the embodiment of the present invention.
In figure: 10- VAT invoice applied analysis system;110- control centre;120- large data center;121-HDFS points
Cloth file system;122-Sqoop module;123-MapReduce module;124-Hive module;125- relational database;126-
PostgreSQL database;127-Mahout module;130- data analysis module;140- comprehensive inquiry module;150- data early warning module;
160- system management module;170- sees plate module today.
Specific embodiment
The embodiment of the present invention is described further with reference to the accompanying drawing.
Referring to Fig. 1, the present invention provides a kind of VAT invoice applied analysis system 10 based on large data center 120,
It include: control centre 110, large data center 120, data analysis module 130, comprehensive inquiry module 140, data early warning module
150, plate module 170 is seen system management module 160 and today, control centre 110 is as data transmission maincenter and large data center
120, data analysis module 130, comprehensive inquiry module 140, data early warning module 150, system management module 160 and billboard today
Module 170 connects.
This system uses front and back separated structure, and the software environment used from the background builds Hadoop for (SuSE) Linux OS
Cluster, with hive realize multi-data source ETL process, data source integration on the basis of again pass by data cleansing, data selection,
The processes such as data conversion are selected into model index, are then based on Oracle etl tool combination waterdrop and are carried out to index
Correlation analysis, processing, calculating form index result.Foreground uses J2EE frame structure, and software environment is windows operation system
System, database are Oracle relevant database, are pushed away the index result that large data center 120 is formed by Hive module 124
It is sent to foreground, related data is carried out in conjunction with AOS platform and shows, last major function is to realize that invoice information presses area, industry, product
The classification such as mesh, enterprise are shown, study the economic relation of tax revenue and industrial sectors of national economy;The effective invoice of realization " Hai Tao " unanimous vote kind,
It the doubtful points information such as declares, realizes that the real-time early warning to venture business, dynamic monitor;Realize to the performance of risk release tasks with
Track, it is ensured that VAT invoice managing risk copes with actual effect.
Referring to Fig. 2, the large data center 120 based on Hadoop built includes Sqoop module 122, MapReduce mould
Block 123, HDFS distributed file system 121, Hive module 124, relational database 125, PostgreSQL database 126 and Mahout mould
Block 127, HDFS distributed file system 121 connect Sqoop module 122, MapReduce module 123, Hive module 124 and
Mahout module 127.
In the present embodiment, data acquisition is carried out by Sqoop module 122 and MapReduce module 123.Wherein, it uses
Sqoop technology acquires data, such as golden three expropriation and management, audit system, electronics bottom account etc. from existing operation system database and deposits
It is placed with the database of tax information;With MapReduce technology from a large amount of partly-structured data files, journal file, Excel
Data are acquired in table;Various network datas relevant to taxpayer can also be crawled from internet by web crawlers.
In the present embodiment, the tax data of magnanimity is transmitted to HDFS distributed file system 121 after acquiring by each mode
In, data are analyzed in a series and treatment process.This process includes traditional ETL data cleansing, conversion, collection
At, eventually form the process of data warehouse, also include various monitor control indexes operation and analytic process.Pass through this serial analysis
With treatment process, various Multidimensional Data Models and index operation result are ultimately formed, pass is stored in by Sqoop module 122
It is to be used for data exhibiting in database 125.The large data center 120 based on Hadoop technology that the present invention is built, can have more
Add data analysis technique abundant, more subtly data are analyzed and handled, including dividing taxpayer's operation
It analyses and is labelled, divide classification, classified to its condition of sales and tax behavior, clustering, maintenance data is dug
The mode of pick and machine learning goes to analyze and find the potential problem of taxpayer's tax behavior.
Wherein, ETL process is realized by Hive module 124, and is obtained large data center 120 by Hive module 124
Index result be transmitted to control centre 110.
In the present embodiment, when system after analyzing mass data with treatment process in large quantities, what is eventually formed is
Data volume is little, but includes the result data of a large amount of useful informations, finally deposits in progress data exhibition in relational database 125
It is existing.When carrying out data exhibiting, technology will be showed with the UI of profession, more intuitively show the entirety that mass data is shown
Situation, variation tendency, and by these discovery the problem of, provide help for the decision support of user.
In the present embodiment, this part of the real-time query of mass historical data is being faced, such as to some taxpayer and its into pin
The inquiry of item invoice, by MapReduce module 123, by treated, result data is transmitted to PostgreSQL database 126, is based on
HBase establishes data directory, to realize the efficient quick of data.
In the present embodiment, Mahout module 127 is for carrying out data mining.
In the present embodiment, it polymerize discrete data, forms uniform data standard.The invoice information of different ticket kinds is subjected to data
Integration, it is established that income, sales invoice information and goods information based on unanimous vote kind further set up base on this basis
In unanimous vote kind income, sales invoice information and the goods information of the various dimensions such as the tax authority, industry, the tax rate, article, enterprise, and
Each ticket kind basis expropriation and management information is assigned, to set up unified from three expropriation and management of gold, electronics bottom account to the data declaration system
Propose several standards and modeling standard.
To sum up, present invention employs following technologies:
Mass data operational performance is solved based on Hadoop distributed proccessing.
The range that the present invention studies is related to VAT invoice, common invoice, Shipping invoices, motor vehicle invoice, rolling
Invoice, electronic invoice etc., research field cover income invoice data, sales invoice data, the special ticket data of shipping, motor vehicle pin
It sells, customs's covering warrant, export tax rebate and tax declaration etc., correlation analysis, early warning class index access time span are long, data volume
Greatly, formed study and judge result process it is computationally intensive and complicated, in the constant situation of existing server resource, be distributed by Hadoop
The processing capacity of existing mass data is substantially improved in formula processing technique, shortens the processing time, improves the success that indices execute
Rate.
Parallel processing problem is solved based on MapReduce technology.
In the operating energy loss to analysis, monitoring class index, the runing time of the core monitoring class index of mass data is not
Preferably more than 30 minutes, based on upper member thinking, the blocky cutting techniques of MapReduce are studied, by the number of every monitor control index
According to being distributed on different servers with 32 pieces of compartment model parallel processing, the data of General Promotion types of applications index are fast
Degree shortens the processing time.
The data sharing between cdr structure type and relevant database is solved based on Sqoop technology.
Operation system and the data interaction of large data center 120 based on this project of Sqoop technical research: first is that by business
System self-defining data is synchronized in large data center 120, participates in the cleaning and operation of index;Second is that by large data center 120
Result data after calculating is pushed in operation system, is converted to relational data, by patterned way, is shown in user circle
In face.
Using data warehouse technology thinking, arrangement polymerization is carried out to data.
Present invention research gold three expropriation and management data, electronics bottom account data, the storage characteristics of declaration data, from multiple dimension logarithms
It according to cleaning integration is carried out, comes in every shape several, widely distributed unlinkability data set up height by data warehouse technology
Polymerization and the relational data of strong tie each other form the unanimous vote kind data aggregate to serve as theme into, item two lines,
Extracted on the basis of this unanimous vote kind by the tax authority, industry, article, the tax rate, enterprise etc. into, pin two lines data aggregate,
And assign aggregated data gold three expropriation and management attributes, and then set up a kind of data bottom acquisition standard, it is based on the standard, rapid build
Every analysis and early warning index model.
Data modeling and processing are realized using Hive tool.
ETL process according to the present invention and data modeling, it is quasi- that specification is write based on traditional SQL, by indices mould
Type passes through Hive tool, it then follows writes specification in Hive tool, traditional SQL statement is converted to big data platform execution
Particular statement reduces the technical difficulty of distributed data processing process, promotes development efficiency.
In the present embodiment, VAT invoice applied analysis system 10 further includes data analysis module 130, data analysis module
130 connect with control centre 110, receive the result data of control centre 110.
Referring to Fig. 3, data analysis module 130 includes income analysis, the analysis of pin item, the analysis of invoice source place, invoice stream
To ground analysis, enterprise's stream and six submodules of cargo stream, by the excavation and analysis to data, objectively by invoice stream, cargo
Stream, enterprise's stream are shown according to industry and region, provide data branch for managerial decision, macroscopic analysis and the management of office of base
Support.
VAT invoice applied analysis system 10 further includes comprehensive inquiry module 140, comprehensive inquiry module 140 with control
Center 110 connects, and receives the result data of control centre 110.
In the present embodiment, control centre 110 by the result data obtained from large data center 120 be transmitted to other modules into
Row analysis processing.
Referring to Fig. 4, comprehensive inquiry module 140 includes family formula inquiry, income invoice inquiry and sales invoice inquiry three
A submodule, by the tax authority, the date of making out an invoice, Invoice category, invoice property, taxpayer, invoice codes, invoice number,
The setting of the tax rate, cancel indicator is to realize that panorama type accurately searches the function of invoice.
In the present embodiment, VAT invoice applied analysis system 10 further includes data early warning module 150, data early warning module
150 connect with control centre 110, receive the result data of control centre 110.
Referring to Fig. 5, data early warning module 150 includes into the monitoring of pin item difference, the monitoring of customized doubtful point, procurement of agricultural product
Invoice monitoring, small-scale taxpayer's monitoring up to standard, declaration form abnormal monitoring, taxpayer's doubtful point information monitoring, credit note are abnormal
Monitoring, voided check abnormal monitoring, the amount of money are uprushed, and invoice monitors, pin item account sales monitors, the monitoring of income account sales, deduction and exemption
Tax abnormal monitoring is declared and red less than 0 abnormal monitoring, common invoice rush abnormal monitoring, special ticket The Scarlet Letter information list to make out an invoice and supervise extremely
It controls and makes out an invoice and there are tax arrear 16 early warning submodules of abnormal monitoring and risk to correspond to work account, realize source of tax revenue real time implementation prison
Control, data system analysis and risk precision reply, have explored a comprehensive index monitoring system.From microcosmic upper realization
Real-time early warning, key monitoring early warning taxpayer is into pin item difference, the declaration form for issuing procurement of agricultural product invoice using upgrade version
The comparison of agricultural product declaration data does not issue account sales etc. using taxation control system according to the rules, realizes to Some Enterprises into pin
Mismatch, lack of standardization, ticket table of making out an invoice is not inconsistent, declare it is abnormal etc. be accused of the automatically-monitored of violation situation, further promote risk
Manage specific aim and validity.It is combined by data system analysis and hand picking, it is daily to tax revenue to play tax revenue information
The data supporting of expropriation and management and risk management acts on, and controlling taxation by bills, message tube ticket gradually forms Intellectualized monitoring management.
In the present embodiment, VAT invoice applied analysis system 10 further includes system management module 160, system management module
160 connect with control centre 110, receive the result data of the control centre 110.VAT invoice applied analysis system 10 is adopted
With hierarchical management, only administrator could operate " system administration " menu.System administration is used in everyday to specifically include that user
Management, description of goods management, the maintenance of risk library, the maintenance of account batch.
In the present embodiment, VAT invoice applied analysis system 10 further includes seeing plate module 170 today, and today sees plate module
170 connect with control centre 110, receive the result data of control centre 110.See today plate module 170 for nearest one section
The VAT invoice of time, which carries out figure into pin item situation, indicates that analysis is shown.
Those of ordinary skill in the art will understand that the embodiments described herein, which is to help reader, understands this hair
Bright principle, it should be understood that protection scope of the present invention is not limited to such specific embodiments and embodiments.This field
Those of ordinary skill disclosed the technical disclosures can make according to the present invention and various not depart from the other each of essence of the invention
The specific variations and combinations of kind, these variations and combinations are still within the scope of the present invention.
Claims (6)
1. a kind of VAT invoice applied analysis system based on large data center characterized by comprising
Large data center and control centre, the large data center are connect with control centre, for being acquired to tax data,
Analysis processing;
The large data center is based on Hadoop technology and builds, including the distributed text of Sqoop module, MapReduce module, HDFS
Part system, Hive module, relational database, PostgreSQL database and Mahout module, the HDFS distributed file system connection
The Sqoop module, MapReduce module, Hive module and Mahout module;
The Sqoop module is based on Sqoop technology and acquires data from operation system and be transmitted to the HDFS distributed document
System;
The MapReduce module is based on MapReduce technology from partly-structured data file, journal file and Excel table
Data are acquired in lattice and are transmitted to the distributed file system;
Collected data are carried out ETL process by the Hive module by the HDFS distributed file system, and pass through institute
Stating Hive module, result data is transmitted to the control centre by treated;
The Sqoop module is also used to that result data is transmitted to the relational database, the relational database by treated
For the result data polarity data to be showed;
The MapReduce module is also used to that result data is transmitted to the PostgreSQL database, the open source number by treated
Hbase, which is based on, according to library carries out data directory;
The Mahout module is used for data mining.
2. the VAT invoice applied analysis system based on large data center as described in claim 1, which is characterized in that described
VAT invoice applied analysis system further includes data analysis module, and the data analysis module is connect with control centre, is received
The result data of the control centre;
The data analysis module includes income analysis, the analysis of pin item, the analysis of invoice source place, analyzes to invoice flow direction, enterprise
Stream and six submodules of cargo stream, for by the excavation and analysis to result data, invoice stream, cargo stream, enterprise's stream to be pressed
It is shown according to industry and region.
3. the VAT invoice applied analysis system based on large data center as described in claim 1, which is characterized in that described
VAT invoice applied analysis system further includes comprehensive inquiry module, and the comprehensive inquiry module is connect with the control centre,
Receive the result data of the control centre;
The comprehensive inquiry module includes that family formula inquiry, income invoice inquiry and sales invoice inquire three submodules, is passed through
To the tax authority, date of making out an invoice, Invoice category, invoice property, taxpayer, invoice codes, invoice number, the tax rate, cancel indicator
Be arranged to realize the accurate lookup to invoice;
4. the VAT invoice applied analysis system based on large data center as described in claim 1, which is characterized in that described
VAT invoice applied analysis system further includes data early warning module, and the data early warning module is connect with the control centre,
Receive the result data of the control centre;
The data early warning module includes into the monitoring of pin item difference, the monitoring of customized doubtful point, the monitoring of procurement of agricultural product invoice, small rule
Mould taxpayer monitoring up to standard, declaration form abnormal monitoring, taxpayer's doubtful point information monitoring, credit note abnormal monitoring, voided check
Abnormal monitoring, the amount of money are uprushed, and invoice monitors, pin item account sales monitors, the monitoring of income account sales, tax reduction and exemption abnormal monitoring, Shen
Report red less than 0 abnormal monitoring, common invoice rush abnormal monitoring, special ticket The Scarlet Letter information list abnormal monitoring and makes out an invoice and have deficient to make out an invoice
16 early warning submodules of tax abnormal monitoring and risk correspond to work account, for being monitored in real time to the source of tax revenue, data system
Analysis and risk are precisely coped with.
5. the VAT invoice applied analysis system based on large data center as described in claim 1, which is characterized in that described
VAT invoice applied analysis system further includes system management module, and the system management module is connect with the control centre,
Receive the result data of the control centre;
The system management module is used to carry out hierarchical management to the VAT invoice applied analysis system.
6. the VAT invoice applied analysis system based on large data center as described in claim 1, which is characterized in that described
VAT invoice applied analysis system further includes seeing plate module today, sees that plate module is connect with the control centre described today,
Receive the result data of the control centre;
See that plate module carries out figure into pin item situation for the VAT invoice to nearest a period of time and indicates analysis exhibition described today
Show.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201811097249.3A CN109325839A (en) | 2018-09-20 | 2018-09-20 | A kind of VAT invoice applied analysis system based on large data center |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201811097249.3A CN109325839A (en) | 2018-09-20 | 2018-09-20 | A kind of VAT invoice applied analysis system based on large data center |
Publications (1)
Publication Number | Publication Date |
---|---|
CN109325839A true CN109325839A (en) | 2019-02-12 |
Family
ID=65265862
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN201811097249.3A Pending CN109325839A (en) | 2018-09-20 | 2018-09-20 | A kind of VAT invoice applied analysis system based on large data center |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN109325839A (en) |
Cited By (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN110490722A (en) * | 2019-08-16 | 2019-11-22 | 安徽航天信息有限公司 | A kind of tax risk monitoring method and system based on big data |
CN111192126A (en) * | 2019-12-27 | 2020-05-22 | 航天信息股份有限公司 | Invoice false-proof method and system based on big data analysis |
CN111241175A (en) * | 2019-12-30 | 2020-06-05 | 航天信息(山东)科技有限公司 | Method and system for monitoring product oil consumption tax data |
CN111241141A (en) * | 2019-12-30 | 2020-06-05 | 航天信息(山东)科技有限公司 | Method for rapidly screening problem enterprises of vehicle purchase tax monitoring and management platform |
CN112667702A (en) * | 2020-12-03 | 2021-04-16 | 成都大数据产业技术研究院有限公司 | Big data-based data mining system |
Citations (6)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN104462314A (en) * | 2014-11-28 | 2015-03-25 | 国家电网公司 | Power grid data processing method and device |
CN105139281A (en) * | 2015-08-20 | 2015-12-09 | 北京中电普华信息技术有限公司 | Method and system for processing big data of electric power marketing |
CN105574593A (en) * | 2015-12-18 | 2016-05-11 | 中南大学 | Track state static-state detection and control system and method based on cloud computing and big data |
CN105678398A (en) * | 2015-12-24 | 2016-06-15 | 国家电网公司 | Power load forecasting method based on big data technology, and research and application system based on method |
CN108304454A (en) * | 2017-11-27 | 2018-07-20 | 大象慧云信息技术有限公司 | Invoice data real time aggregation device based on big data |
CN108491191A (en) * | 2018-03-29 | 2018-09-04 | 安徽航天信息有限公司 | A kind of serverless backup FaaS frameworks tax big data system |
-
2018
- 2018-09-20 CN CN201811097249.3A patent/CN109325839A/en active Pending
Patent Citations (6)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN104462314A (en) * | 2014-11-28 | 2015-03-25 | 国家电网公司 | Power grid data processing method and device |
CN105139281A (en) * | 2015-08-20 | 2015-12-09 | 北京中电普华信息技术有限公司 | Method and system for processing big data of electric power marketing |
CN105574593A (en) * | 2015-12-18 | 2016-05-11 | 中南大学 | Track state static-state detection and control system and method based on cloud computing and big data |
CN105678398A (en) * | 2015-12-24 | 2016-06-15 | 国家电网公司 | Power load forecasting method based on big data technology, and research and application system based on method |
CN108304454A (en) * | 2017-11-27 | 2018-07-20 | 大象慧云信息技术有限公司 | Invoice data real time aggregation device based on big data |
CN108491191A (en) * | 2018-03-29 | 2018-09-04 | 安徽航天信息有限公司 | A kind of serverless backup FaaS frameworks tax big data system |
Non-Patent Citations (2)
Title |
---|
大连市国家税务局编: "《 互联网+大数据 税收深度融合研究》", 30 April 2016 * |
贾文娟: "基于hive分布式计算与数据挖掘的关联性营销的设计与实现", 《中国优秀硕士学位论文全文数据库-信息科技辑》 * |
Cited By (6)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN110490722A (en) * | 2019-08-16 | 2019-11-22 | 安徽航天信息有限公司 | A kind of tax risk monitoring method and system based on big data |
CN111192126A (en) * | 2019-12-27 | 2020-05-22 | 航天信息股份有限公司 | Invoice false-proof method and system based on big data analysis |
CN111241175A (en) * | 2019-12-30 | 2020-06-05 | 航天信息(山东)科技有限公司 | Method and system for monitoring product oil consumption tax data |
CN111241141A (en) * | 2019-12-30 | 2020-06-05 | 航天信息(山东)科技有限公司 | Method for rapidly screening problem enterprises of vehicle purchase tax monitoring and management platform |
CN111241141B (en) * | 2019-12-30 | 2023-11-14 | 航天信息(山东)科技有限公司 | Rapid screening method for vehicle purchase tax monitoring management platform problem enterprises |
CN112667702A (en) * | 2020-12-03 | 2021-04-16 | 成都大数据产业技术研究院有限公司 | Big data-based data mining system |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
CN109325839A (en) | A kind of VAT invoice applied analysis system based on large data center | |
US9536225B2 (en) | Aggregating business analytics architecture and configurator | |
Chou et al. | BI and ERP integration | |
CN112163724A (en) | Environment information data resource integration system | |
CN105205575A (en) | Business process performance evaluation and decision analysis system | |
CN106056292A (en) | Business operation intelligent decision support system and method thereof | |
CN110751361B (en) | Bank demand entry level management method and system | |
CN102663557B (en) | MOT management system and its implementation | |
CN101246584A (en) | Tax estimation system model | |
CN202948475U (en) | Information management system of construction material | |
Hikmawati et al. | Improving Data Quality and Data Governance Using Master Data Management: A Review | |
CN111126955A (en) | Business data analysis method, processing server and storage medium | |
Rutz et al. | Practical implications of real time business intelligence | |
CN110490785A (en) | A kind of government budget measure of supervision, system and storage medium | |
Vogelgesang et al. | Celonis PQL: A query language for process mining | |
CN111768280A (en) | Enterprise financial data scheduling visualization platform system | |
Nazarov et al. | Building technology and predictive analytics models in the SAP analytic cloud digital service | |
Liuhong | [Retracted] Research on Tax Collection and Administration Application and Legal Issues Based on Big Data Analysis | |
Jian | Design of enterprise human resources decision support system based on data mining | |
Tytenko et al. | Software and information support for business analysis in enterprise management | |
Kucherenko et al. | Accounting Information System under the Digital Transformation | |
Wong et al. | A strategic management support architecture: integration of the balanced scorecard and enterprise resource planning | |
KR20210053564A (en) | A method of construction information management system with using big data processing | |
CN110490410A (en) | A kind of police service ensures integrated control system and its implementation | |
Ray et al. | Analysing the interface of business intelligence and enterprise resource planning |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
PB01 | Publication | ||
PB01 | Publication | ||
SE01 | Entry into force of request for substantive examination | ||
SE01 | Entry into force of request for substantive examination | ||
RJ01 | Rejection of invention patent application after publication | ||
RJ01 | Rejection of invention patent application after publication |
Application publication date: 20190212 |