CN112651829A - System for fusing and managing bank data by applying big data technology and middle platform architecture - Google Patents
System for fusing and managing bank data by applying big data technology and middle platform architecture Download PDFInfo
- Publication number
- CN112651829A CN112651829A CN202110012127.5A CN202110012127A CN112651829A CN 112651829 A CN112651829 A CN 112651829A CN 202110012127 A CN202110012127 A CN 202110012127A CN 112651829 A CN112651829 A CN 112651829A
- Authority
- CN
- China
- Prior art keywords
- data
- module
- layer
- bank
- technology
- 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
- 238000005516 engineering process Methods 0.000 title claims abstract description 26
- 238000007405 data analysis Methods 0.000 claims abstract description 26
- 238000013500 data storage Methods 0.000 claims abstract description 20
- 238000007726 management method Methods 0.000 claims abstract description 20
- 238000004140 cleaning Methods 0.000 claims abstract description 15
- 230000005540 biological transmission Effects 0.000 claims description 19
- 238000007781 pre-processing Methods 0.000 claims description 11
- 238000005065 mining Methods 0.000 claims description 10
- 230000004927 fusion Effects 0.000 claims description 7
- 238000012216 screening Methods 0.000 claims description 7
- 238000004458 analytical method Methods 0.000 claims description 5
- 238000001914 filtration Methods 0.000 claims description 4
- 230000000007 visual effect Effects 0.000 claims description 4
- 238000010801 machine learning Methods 0.000 claims description 3
- 238000012544 monitoring process Methods 0.000 claims description 3
- 230000008520 organization Effects 0.000 claims description 3
- 238000010223 real-time analysis Methods 0.000 claims description 3
- 238000012384 transportation and delivery Methods 0.000 claims description 3
- 238000000034 method Methods 0.000 abstract description 10
- 238000013523 data management Methods 0.000 abstract description 9
- 230000006870 function Effects 0.000 abstract description 6
- 238000010276 construction Methods 0.000 abstract description 5
- 238000007418 data mining Methods 0.000 abstract description 3
- 230000008569 process Effects 0.000 description 7
- 238000011161 development Methods 0.000 description 4
- 230000007246 mechanism Effects 0.000 description 4
- 230000009471 action Effects 0.000 description 3
- 238000004364 calculation method Methods 0.000 description 3
- 238000006243 chemical reaction Methods 0.000 description 3
- 239000000284 extract Substances 0.000 description 3
- 230000009466 transformation Effects 0.000 description 3
- 238000009412 basement excavation Methods 0.000 description 2
- 230000009286 beneficial effect Effects 0.000 description 2
- 238000010586 diagram Methods 0.000 description 2
- 230000000694 effects Effects 0.000 description 2
- 238000012545 processing Methods 0.000 description 2
- 230000002860 competitive effect Effects 0.000 description 1
- 238000013480 data collection Methods 0.000 description 1
- 230000002950 deficient Effects 0.000 description 1
- 230000006872 improvement Effects 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
Images
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
- G06Q40/02—Banking, e.g. interest calculation or account maintenance
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/21—Design, administration or maintenance of databases
- G06F16/215—Improving data quality; Data cleansing, e.g. de-duplication, removing invalid entries or correcting typographical errors
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/24—Querying
- G06F16/245—Query processing
- G06F16/2458—Special types of queries, e.g. statistical queries, fuzzy queries or distributed queries
- G06F16/2462—Approximate or statistical queries
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/25—Integrating or interfacing systems involving database management systems
- G06F16/254—Extract, transform and load [ETL] procedures, e.g. ETL data flows in data warehouses
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/28—Databases characterised by their database models, e.g. relational or object models
- G06F16/284—Relational databases
Landscapes
- Engineering & Computer Science (AREA)
- Theoretical Computer Science (AREA)
- Databases & Information Systems (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Data Mining & Analysis (AREA)
- General Engineering & Computer Science (AREA)
- Business, Economics & Management (AREA)
- Finance (AREA)
- Accounting & Taxation (AREA)
- Probability & Statistics with Applications (AREA)
- Technology Law (AREA)
- Economics (AREA)
- Marketing (AREA)
- Strategic Management (AREA)
- Development Economics (AREA)
- General Business, Economics & Management (AREA)
- Quality & Reliability (AREA)
- Fuzzy Systems (AREA)
- Mathematical Physics (AREA)
- Software Systems (AREA)
- Computational Linguistics (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
Abstract
The invention discloses a system for fusing and managing bank data by applying a big data technology and a middle platform architecture, which comprises a data source, a data acquisition layer, a data storage layer, a data analysis layer and a data application layer, wherein the data acquisition layer is connected with the data storage layer and the data analysis layer. The method can quickly complete data association and cleaning according to the actual conditions of the business and the client object, construct the most valuable financial data assets, and quickly and efficiently meet different data management scenes and data mining and analyzing requirements of financial institutions in various banking industries; by adopting the technical architecture of advanced cloud and micro-service in the industry, the hot plug of a big data algorithm and an application function is realized, the customizable, configurable, expandable and flexible innovation of platform functions are ensured, the service innovation requirements and the management refinement and flow requirements of the bank in various environments are supported by the maximum flexibility, the intelligent bank is established, and the construction of the agile bank is promoted.
Description
Technical Field
The invention relates to the technical field of science, technology, finance and banking systems, in particular to a system for fusing and managing bank data by applying a big data technology and a middle platform architecture.
Background
In recent years, internet banking and shadow banking are increasingly popularized, the business of large-scale nationally owned banks gradually sinks, the competitive pressure of banking financial institutions such as small and medium banks, local legal banks, agricultural banks, credit agencies and the like is obviously increased, and a digital transformation strategy is proposed for dealing with the competition of the banking financial institutions of large and large banking industries in the whole country, but the initial information construction of the banking financial institutions only meets the requirements of operation and business handling, and because different supervision departments have different supervision apertures, the internal data of the banks are often split according to departments and lines, the data quality is uneven, uniform specifications and management systems are lacked, and the data are difficult to be comprehensively utilized; because most traditional banks still execute a well-leveled pyramid management mechanism, the vertical management of each line of each department enables each department to stand on the wall, each department has own system, flow and data, the extension of the department rights is higher than the consideration of benefits of the whole bank, the inter-department and inter-line cooperative mechanism is deficient, the phenomena of data island and data vertical shaft are serious, and the data safety is not guaranteed; therefore, the most core pain point of the bank digital transformation is 'data management', if the basic data management architecture is imperfect and the data management work is incomplete, the ideal 'digital transformation' target is difficult to achieve, and the accurate customer insight, the accurate marketing and service and the business process reconstruction are difficult to achieve.
Disclosure of Invention
The invention aims to provide a system for fusing and managing bank data by applying a big data technology and a middle platform architecture, so as to solve the problems in the background technology.
In order to solve the technical problems, the invention provides the following technical scheme: a system for fusing and managing bank data by applying big data technology and a middle platform architecture comprises a data source, a data acquisition layer, a data storage layer, a data analysis layer and a data application layer, wherein the data acquisition layer is connected with the data storage layer and the data analysis layer, and the data analysis layer is connected with the data storage layer and the data application layer.
In a preferred embodiment, the data sources refer to banking data and data outside banks, and include relational databases, data files, and application data.
In a preferred embodiment, the data acquisition layer includes a data transmission unit and a data preprocessing unit, the data transmission unit is used for acquiring banking data and data outside banks, and the data preprocessing unit is used for filtering, converting, cleaning and mining the acquired data.
In a preferred embodiment, the data transmission unit includes an ETL data transmission module, an FTP data transmission module, and a data gateway transmission module.
In a preferred embodiment, the data preprocessing unit includes a data parsing module, a data duplicate removal module, a data screening module, a data cleaning module, a data merging module, a data classification module, and a data conversion module, where the data parsing module is configured to parse received data, the data duplicate removal module is configured to remove duplicate from the parsed data, the data screening module is configured to filter and screen data, the data cleaning module is configured to clean data, the data merging module is configured to merge the cleaned data, the data classification module is configured to classify data, and the data conversion module is configured to convert data.
In a preferred embodiment, the data store layer is used for storing data, and the data store layer comprises a Hadoop data store and a system relational database.
In a preferred embodiment, the data storage layer stores data by using a distributed file storage technology, and the data analysis layer analyzes the data to form a theme database.
In a preferred embodiment, the data analysis layer is used for mining and analyzing the collected data to obtain a data result useful for banks, and the data analysis layer comprises an SQL module, a basic operation module, a machine learning module, a data statistics module, a real-time analysis module, a custom operation workflow module, a tag system module and an integrating system module.
In a preferred embodiment, the data application layer is used for displaying the data after mining analysis, and the data application layer displays the data by using a table, a chart or a visual display.
In a preferred embodiment, the data application layer comprises a customer portrait module, a life-benefit module, a post-delivery management module, a customer hierarchical classification module, a business monitoring module, a task management module, an organization system module and a staff assessment module.
Compared with the prior art, the invention has the following beneficial effects:
1. the invention is applied to bank data management, greatly improves the data processing capacity, simultaneously carries out mining application on data under the condition of ensuring the original form of the data, flexibly calculates the data according to the development strategy and business needs of the middle and small-sized banking financial institutions, extracts the data analysis result through the interface, realizes the known, usable, controllable and associable data, can quickly and completely solve the problem of 'data management' of the banking financial institutions, is an application platform for uniformly managing the whole volume, the whole dimension and the whole life cycle of the bank data, adopts the most advanced big data technology and the data classification management mechanism, efficiently realizes the collection, cleaning, fusion, excavation and application of internal and external data required by the bank, helps the bank to form high-value data assets, promotes the application of the big data technology, and remolds an IT bottom layer for the middle and small-sized banking financial institutions, establishing a complete data warehouse; by getting through a chimney type informatization system, pain points such as low data availability, poor safety and the like caused by a data island problem are solved, endogenous data in each informatization system are fused, various personalized external data (including the collection of multi-source heterogeneous data such as internet data, government data, local enterprise data, social group operation data, industrial chain data and the like) are flexibly collected, data association and cleaning are rapidly completed according to actual conditions of business and client objects, the most valuable financial data assets are constructed, and different data governance scenes and data mining and analysis requirements of financial institutions in the banking industry are met rapidly and efficiently;
2. the invention can effectively integrate the original business IT systems developed by various chimney types of banking financial institutions, get through the data islands of various chimney systems, effectively manage bank data assets, mine data value, and can quickly reflect an information center platform supporting business development; secondly, standardizing the business process, standardizing the work standard, supporting the customer manager to improve the marketing ability, quantizing the work effect and supporting the scientific performance to further improve the bank management ability; thirdly, financial product innovation is supported, business marketing innovation is supported, and multidimensional analysis business conditions are provided with decision support, so that business marketing capacity is effectively improved, in addition, the platform applies an industry-advanced cloud and micro-service technical framework, hot plug of a big data algorithm and an application function is realized, customizable, configurable, expandable and flexible innovation of the platform function is ensured, business innovation requirements and management refinement and process requirements of a bank under various environments are supported with the maximum flexibility, an intelligent bank is established, and agile bank construction is promoted.
Drawings
The accompanying drawings, which are included to provide a further understanding of the invention and are incorporated in and constitute a part of this specification, illustrate embodiments of the invention and together with the description serve to explain the principles of the invention and not to limit the invention. In the drawings:
FIG. 1 is a schematic diagram of the frame construction of the present invention;
FIG. 2 is a schematic view of the overall structure of the present invention;
FIG. 3 is a schematic structural diagram of one embodiment of the present invention;
in the figure: 1, a data source; 2 a data acquisition layer; 3 a data storage layer; 4 a data analysis layer; 5, a data application layer; 6 a relational database; 7, a data file; 8, application data; 9 a data transmission unit; 10 data preprocessing unit.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Referring to fig. 1-3, the invention provides a system for fusing and managing bank data by applying a big data technology and a middle platform architecture, which comprises a data source 1, a data acquisition layer 2, a data storage layer 3, a data analysis layer 4 and a data application layer 5, wherein the data acquisition layer 2 is connected with the data storage layer 3 and the data analysis layer 4, and the data analysis layer 4 is connected with the data storage layer 3 and the data application layer 5.
In a preferred embodiment, the data source 1 refers to banking data and data outside a bank, and the data source 1 includes a relational database 6, a data file 7, and application data 8.
In a preferred embodiment, the data acquisition layer 2 includes a data transmission unit 9 and a data preprocessing unit 10, the data transmission unit 9 is used for acquiring banking data and data outside banks, and the data preprocessing unit 10 is used for filtering, converting, cleaning and mining the acquired data.
In a preferred embodiment, the data transmission unit 9 includes an ETL data transmission module, an FTP data transmission module, and a data gateway transmission module.
In a preferred embodiment, the data preprocessing unit 10 includes a data parsing module, a data deduplication module, a data screening module, a data cleaning module, a data merging module, a data classifying module, and a data converting module, where the data parsing module is configured to parse received data, the data deduplication module is configured to deduplicate the parsed data, the data screening module is configured to filter and screen data, the data cleaning module is configured to clean data, the data merging module is configured to merge the cleaned data, the data classifying module is configured to classify data, and the data converting module is configured to convert data.
In a preferred embodiment, the data store layer 4 is used for storing data, and the data store layer 4 includes a Hadoop data store and a system relational database.
In a preferred embodiment, the data storage layer 4 stores data by using a distributed file storage technology, and the subject database is formed after the data analysis layer 4 analyzes the data.
In a preferred embodiment, the data analysis layer 4 is configured to mine and analyze the collected data to obtain a data result useful for a bank, and the data analysis layer 4 includes an SQL module, a basic operation module, a machine learning module, a data statistics module, a real-time analysis module, a custom operation workflow module, a tag system module, and an integral system module.
In a preferred embodiment, the data application layer 5 is configured to display the data after mining analysis, and the data application layer 5 displays the data by using a table, a chart or a visual display.
In a preferred embodiment, the data application layer 5 comprises a customer portrait module, a life-benefit module, a post-delivery management module, a customer hierarchical classification module, a business monitoring module, a task management module, an organization system module and a staff assessment module.
The working principle of the invention is as follows: the provincial society issues data to a bank file server, a data acquisition layer 2 extracts the data from the bank file server, the extracted data is verified through a data preprocessing unit 10, integrity, timeliness and correctness of the early warning data are warned, then the data are stored in a distributed file storage system in a data storage layer 3, the data are analyzed, deduplicated, filtered, cleaned, combined and converted through a data analysis layer 4, data useful for a bank are obtained and stored in the data storage layer 3, the obtained data are transmitted to a data application layer 5, and the obtained data can be displayed by the data application layer 5 in a form, a chart or visual display mode and the like for people to check.
The invention has the beneficial effects that: 1. the invention is applied to bank data management, greatly improves the data processing capacity, simultaneously carries out mining application on data under the condition of ensuring the original form of the data, flexibly calculates the data according to the development strategy and business needs of the middle and small-sized banking financial institutions, extracts the data analysis result through the interface, realizes the known, usable, controllable and associable data, can quickly and completely solve the problem of 'data management' of the banking financial institutions, is an application platform for uniformly managing the whole volume, the whole dimension and the whole life cycle of the bank data, adopts the most advanced big data technology and the data classification management mechanism, efficiently realizes the collection, cleaning, fusion, excavation and application of internal and external data required by the bank, helps the bank to form high-value data assets, promotes the application of the big data technology, and remolds an IT bottom layer for the middle and small-sized banking financial institutions, establishing a complete data warehouse; by opening a chimney type information system, the pain points of low data availability, poor safety and the like caused by a data island problem are solved, endogenous data in each information system are fused, various personalized external data (comprising the collection of multi-source heterogeneous data such as internet data, government data, local enterprise data, social group operation data, industrial chain data and the like) are flexibly collected, data association and cleaning are rapidly completed according to the actual conditions of business and client objects, the most valuable financial data assets are constructed, different data governance scenes and data mining and analysis requirements of financial institutions in the banking industry are met rapidly and efficiently, the collected data are more comprehensive in data collection dimension, the speed can be increased by 2600 times in speed at least, more abundant and perfect data conditions can be taken in data calculation dimension, and the accuracy of calculation results is greatly improved, the calculation rate is improved by more than 300 times, the conversion from a department management mode to a central management mode is realized, the data management and control capability and the data security management capability of the banking financial institution are greatly improved, the management capability and the innovation capability of the banking financial institution are effectively improved through data fusion, and the bank can be helped to really have the digitization capability of accurate marketing and personalized financial services;
2. the invention can effectively integrate the original business IT systems developed by various chimney types of banking financial institutions, get through the data islands of various chimney systems, effectively manage bank data assets, mine data value, and can quickly reflect an information center platform supporting business development; secondly, standardizing the business process, standardizing the work standard, supporting the customer manager to improve the marketing ability, quantizing the work effect and supporting the scientific performance to further improve the bank management ability; thirdly, financial product innovation is supported, business marketing innovation is supported, and multidimensional analysis business conditions are provided with decision support, so that business marketing capacity is effectively improved, in addition, the platform applies an industry-advanced cloud and micro-service technical framework, hot plug of a big data algorithm and an application function is realized, customizable, configurable, expandable and flexible innovation of the platform function is ensured, business innovation requirements and management refinement and process requirements of a bank under various environments are supported with the maximum flexibility, an intelligent bank is established, and agile bank construction is promoted.
It is noted that, herein, relational terms such as first and second, and the like may be used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Also, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus.
Finally, it should be noted that: although the present invention has been described in detail with reference to the foregoing embodiments, it will be apparent to those skilled in the art that changes may be made in the embodiments and/or equivalents thereof without departing from the spirit and scope of the invention. Any modification, equivalent replacement, or improvement made within the spirit and principle of the present invention should be included in the protection scope of the present invention.
Claims (10)
1. A system for fusing and managing bank data by applying big data technology and a middle platform architecture is characterized in that: the data acquisition system comprises a data source (1), a data acquisition layer (2), a data storage layer (3), a data analysis layer (4) and a data application layer (5), wherein the data acquisition layer (2) is connected with the data storage layer (3) and the data analysis layer (4), and the data analysis layer (4) is connected with the data storage layer (3) and the data application layer (5).
2. The system for fusing and managing bank data by applying big data technology and middle platform architecture according to claim 1, wherein: the data source (1) refers to banking data and data outside banks, and the data source (1) comprises a relational database (6), a data file (7) and application data (8).
3. The system for fusing and managing bank data by applying big data technology and middle platform architecture according to claim 1, wherein: the data acquisition layer (2) comprises a data transmission unit (9) and a data preprocessing unit (10), the data transmission unit (9) is used for acquiring banking data and data outside a bank, and the data preprocessing unit (10) is used for filtering, converting, cleaning and mining the acquired data.
4. The system for managing the fusion of bank data by applying big data technology and middle platform architecture according to claim 3, wherein: the data transmission unit (9) comprises an ETL data transmission module, an FTP data transmission module and a data gateway transmission module.
5. The system for managing the fusion of bank data by applying big data technology and middle platform architecture according to claim 3, wherein: the data preprocessing unit (10) comprises a data analyzing module, a data duplication removing module, a data screening module, a data cleaning module, a data merging module, a data classifying module and a data converting module, wherein the data analyzing module is used for analyzing received data, the data duplication removing module is used for removing duplication of the analyzed data, the data screening module is used for filtering and screening the data, the data cleaning module is used for cleaning the data, the data merging module is used for merging the cleaned data, the data classifying module is used for classifying the data, and the data converting module is used for converting the data.
6. The system for fusing and managing bank data by applying big data technology and middle platform architecture according to claim 1, wherein: the data storage layer (4) is used for storing data, and the data storage layer (4) comprises a Hadoop data storage and a system relational database.
7. The system for managing the fusion of bank data by applying big data technology and middle platform architecture according to claim 6, wherein: the data storage layer (4) stores data by adopting a distributed file storage technology, and a theme database is formed after the data analysis layer (4) analyzes the data.
8. The system for fusing and managing bank data by applying big data technology and middle platform architecture according to claim 1, wherein: the data analysis layer (4) is used for mining and analyzing the collected data to obtain a data result which is useful for banks, and the data analysis layer (4) comprises an SQL module, a basic operation module, a machine learning module, a data statistics module, a real-time analysis module, a user-defined operation workflow module, a label system module and an integral system module.
9. The system for fusing and managing bank data by applying big data technology and middle platform architecture according to claim 1, wherein: the data application layer (5) is used for displaying the data after mining and analysis, and the data application layer (5) displays the data by using a table, a chart or visual display.
10. The system for managing the fusion of bank data by applying big data technology and middle platform architecture according to claim 9, wherein: the data application layer (5) comprises a customer portrait module, a life-benefiting module, a post-delivery management module, a customer hierarchical classification module, a business monitoring module, a task management module, an organization system module and a staff assessment module.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202110012127.5A CN112651829A (en) | 2021-01-06 | 2021-01-06 | System for fusing and managing bank data by applying big data technology and middle platform architecture |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202110012127.5A CN112651829A (en) | 2021-01-06 | 2021-01-06 | System for fusing and managing bank data by applying big data technology and middle platform architecture |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN112651829A true CN112651829A (en) | 2021-04-13 |
Family
ID=75367494
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202110012127.5A Pending CN112651829A (en) | 2021-01-06 | 2021-01-06 | System for fusing and managing bank data by applying big data technology and middle platform architecture |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN112651829A (en) |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113836215A (en) * | 2021-11-09 | 2021-12-24 | 神州数码***集成服务有限公司 | Financial scene type user perception information processing method, system, equipment and application |
Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104392291A (en) * | 2014-09-05 | 2015-03-04 | 宁波和佳软件技术有限公司 | Financial service management information platform |
| CN108428173A (en) * | 2018-01-31 | 2018-08-21 | 孙中东 | 1+1+N Internet banks application architecture and its business model application |
| CN110489459A (en) * | 2019-08-07 | 2019-11-22 | 国网安徽省电力有限公司 | A kind of enterprise-level industry number fused data analysis system based on big data platform |
| CN110968571A (en) * | 2018-09-28 | 2020-04-07 | 广州威阿科技有限公司 | Big data analysis and processing platform for financial information service |
| CN111461739A (en) * | 2020-03-18 | 2020-07-28 | 福建省农村信用社联合社 | Bank mobile comprehensive service system and device suitable for second-level legal person |
| CN111475557A (en) * | 2020-04-03 | 2020-07-31 | 山东爱城市网信息技术有限公司 | Platform construction system in general financial service platform data |
| CN111858713A (en) * | 2020-07-21 | 2020-10-30 | 浪潮云信息技术股份公司 | Object-based government information asset management method and system |
-
2021
- 2021-01-06 CN CN202110012127.5A patent/CN112651829A/en active Pending
Patent Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104392291A (en) * | 2014-09-05 | 2015-03-04 | 宁波和佳软件技术有限公司 | Financial service management information platform |
| CN108428173A (en) * | 2018-01-31 | 2018-08-21 | 孙中东 | 1+1+N Internet banks application architecture and its business model application |
| CN110968571A (en) * | 2018-09-28 | 2020-04-07 | 广州威阿科技有限公司 | Big data analysis and processing platform for financial information service |
| CN110489459A (en) * | 2019-08-07 | 2019-11-22 | 国网安徽省电力有限公司 | A kind of enterprise-level industry number fused data analysis system based on big data platform |
| CN111461739A (en) * | 2020-03-18 | 2020-07-28 | 福建省农村信用社联合社 | Bank mobile comprehensive service system and device suitable for second-level legal person |
| CN111475557A (en) * | 2020-04-03 | 2020-07-31 | 山东爱城市网信息技术有限公司 | Platform construction system in general financial service platform data |
| CN111858713A (en) * | 2020-07-21 | 2020-10-30 | 浪潮云信息技术股份公司 | Object-based government information asset management method and system |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113836215A (en) * | 2021-11-09 | 2021-12-24 | 神州数码***集成服务有限公司 | Financial scene type user perception information processing method, system, equipment and application |
| CN113836215B (en) * | 2021-11-09 | 2023-11-24 | 神州数码***集成服务有限公司 | Financial scene user perception information processing method, system, equipment and application |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN109767255B (en) | Method for realizing intelligent operation and accurate marketing through big data modeling | |
| CN104820670B (en) | A kind of acquisition of power information big data and storage method | |
| CN110796470A (en) | Market subject supervision and service oriented data analysis system | |
| CN105139281A (en) | Method and system for processing big data of electric power marketing | |
| CN110851667A (en) | Integrated analysis method and tool for multi-source large data | |
| CN113722383A (en) | Investigation device and method based on time sequence information | |
| CN110825716A (en) | Data full life cycle management system, method and medium | |
| Raja et al. | Market behavior analysis using descriptive approach | |
| CN104182466A (en) | House information base network system | |
| CN112883001A (en) | Data processing method, device and medium based on marketing and distribution through data visualization platform | |
| CN112651829A (en) | System for fusing and managing bank data by applying big data technology and middle platform architecture | |
| Sawalha et al. | Towards an efficient big data management schema for IoT | |
| CN116483822B (en) | Service data early warning method, device, computer equipment and storage medium | |
| CN106250406A (en) | A kind of log processing method | |
| CN116821106A (en) | Enterprise data digital management system and method | |
| CN106227797A (en) | A kind of processing method of massive logs information | |
| Wu et al. | Design and research of insurance survey claims system based on Big Data analysis | |
| CN115423361A (en) | Data processing method and device for risk view, storage medium and equipment | |
| KR20190115530A (en) | System and method for providing consumer sentiment index based on big data | |
| CN111291029B (en) | Data cleaning method and device | |
| CN112241428A (en) | Digital decision-making method and system | |
| Turken et al. | Research on Creating a Data Warehouse Based on E-Commerce | |
| Peng et al. | Research on E-commerce intelligence based on IOT and big data | |
| KR20210045172A (en) | Big Data Management and System for Livestock Disease Outbreak Analysis | |
| Xu et al. | The value of data mining for surveillance video in big data era |
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 | ||
| TA01 | Transfer of patent application right | ||
| TA01 | Transfer of patent application right |
Effective date of registration: 20221121 Address after: 551499 Hongfeng Road, Qingzhen City, Guiyang City, Guizhou Province Applicant after: Guizhou Panjiang Chemical (Group) Co.,Ltd. Address before: 550022 no.1-20-4, building N6, business district, phase II, Guiyang international financial center, Changling North Road, guanshanhu District, Guiyang City, Guizhou Province Applicant before: Guizhou yiwanhe Technology Co.,Ltd. |