CN111178028B - Financial data cleaning method, equipment and storage medium - Google Patents
Financial data cleaning method, equipment and storage medium Download PDFInfo
- Publication number
- CN111178028B CN111178028B CN201911277537.1A CN201911277537A CN111178028B CN 111178028 B CN111178028 B CN 111178028B CN 201911277537 A CN201911277537 A CN 201911277537A CN 111178028 B CN111178028 B CN 111178028B
- Authority
- CN
- China
- Prior art keywords
- financial
- data
- report
- statement
- processed
- 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.)
- Active
Links
- 238000000034 method Methods 0.000 title claims abstract description 29
- 238000004140 cleaning Methods 0.000 title claims abstract description 16
- 239000002699 waste material Substances 0.000 claims abstract description 7
- 238000004590 computer program Methods 0.000 claims description 9
- 238000012216 screening Methods 0.000 claims description 6
- 238000007726 management method Methods 0.000 description 4
- 238000007619 statistical method Methods 0.000 description 3
- 238000004458 analytical method Methods 0.000 description 2
- 230000009286 beneficial effect Effects 0.000 description 2
- 238000007405 data analysis Methods 0.000 description 2
- 230000000694 effects Effects 0.000 description 2
- 238000004364 calculation method Methods 0.000 description 1
- 238000013523 data management Methods 0.000 description 1
- 230000007547 defect Effects 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 230000001788 irregular Effects 0.000 description 1
- 238000007781 pre-processing Methods 0.000 description 1
- 238000006467 substitution reaction Methods 0.000 description 1
Classifications
-
- 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
- G06F16/24—Querying
- G06F16/248—Presentation of query results
Landscapes
- Engineering & Computer Science (AREA)
- Theoretical Computer Science (AREA)
- Physics & Mathematics (AREA)
- Databases & Information Systems (AREA)
- Data Mining & Analysis (AREA)
- General Physics & Mathematics (AREA)
- General Engineering & Computer Science (AREA)
- Computational Linguistics (AREA)
- Probability & Statistics with Applications (AREA)
- Software Systems (AREA)
- Mathematical Physics (AREA)
- Fuzzy Systems (AREA)
- Quality & Reliability (AREA)
- Financial Or Insurance-Related Operations Such As Payment And Settlement (AREA)
Abstract
The invention discloses a financial data cleaning method, equipment and a storage medium, wherein the financial data cleaning method comprises the following steps: step S1: acquiring a data source, and removing the data source for the treatment of waste; the data source comprises a financial statement to be processed, a data reporting and collecting table and a tax payer information table; step S2: searching an original report template corresponding to each to-be-processed financial report, and classifying all to-be-processed financial reports according to the type of the original report template of each to-be-processed financial report; step S3: determining a unified financial statement template of each similar financial statement to be processed; step S4: and performing item matching on all similar original report templates, and then converting the same into corresponding unified financial report templates. The invention can carry out format standardization processing on the financial statement and improve the data arrangement efficiency.
Description
Technical Field
The present invention relates to the field of financial data analysis, and in particular, to a method and apparatus for cleaning financial data, and a storage medium.
Background
Currently, financial data analysis is an important component in enterprise financial management, and thus high quality financial data is a very important component in enterprise management.
The existing financial data management causes uneven quality of financial reports of tax reporting offices of enterprises because of lack of unified standards of the financial reports, and a large amount of irregular, repeated and even obsolete data exist in a plurality of financial reports; and because the enterprise types are more, the financial statement templates of tax reporting offices of each enterprise type may have differences, so that when the financial data is collected and analyzed, the analysis can be only performed on a single type of enterprise at most, the statistical analysis of the data is not facilitated, and the data arrangement work is troublesome.
Disclosure of Invention
In order to overcome the defects of the prior art, one of the purposes of the invention is to provide a financial data cleaning method which can perform format standardization processing on disordered financial reports and improve data arrangement efficiency.
It is a second object of the present invention to provide a terminal device.
It is a further object of the present invention to provide a storage medium.
One of the purposes of the invention is realized by adopting the following technical scheme:
a method of cleaning financial data comprising:
Step S1: acquiring a data source, and removing the data source for the treatment of waste; the data source comprises a financial statement to be processed, a data reporting and collecting table and a tax payer information table;
Step S2: searching an original report template corresponding to each to-be-processed financial report, and classifying all to-be-processed financial reports according to the type of the original report template of each to-be-processed financial report;
step S3: determining a unified financial statement template of each similar financial statement to be processed;
step S4: and performing item matching on all similar original report templates, and then converting the same into corresponding unified financial report templates.
Further, the financial statement to be processed includes an asset liability statement, a profit statement, and a cash flow statement; the to-be-processed financial statement comprises a primary table key ID, a data report acquisition ID, a two-dimensional table row serial number, a project name, an amount and an input date.
Further, the data report collection table comprises a data report collection ID, a registration serial number, a belonging period start, a belonging period stop, an input date and a revocation flag.
Further, the method for performing the data source removal and invalidation processing in the step S1 includes:
step S11: connecting the financial statement to be processed with the data reporting acquisition table through the field of 'data reporting acquisition ID';
Step S12: the tax payer information sheet is internally connected with the register sequence number field;
step S13: and taking the 'revocation flag' field as a screening condition, rejecting revocation data meeting the screening condition, and only keeping reporting records existing in the liability statement, the profit statement and the cash flow statement.
Further, in the step S4, the method for performing item matching on all the similar original report templates and then converting the same into the corresponding unified financial report templates is as follows:
step S41: converting the project names in each original report template into the project names in the unified financial report template through the two-dimensional list line serial numbers;
Step S42: calculating the amount in the original report template according to the preset corresponding relation, and converting the calculated amount into the corresponding item amount in the unified financial report;
step S43: performing duplicate removal processing on repeated data in the unified financial statement, and reserving data of the latest input date;
Step S44: and converting the item names arranged according to the rows in the unified financial statement into column fields, and storing the column fields in a database.
Further, the preset correspondence in step S42 includes reserving the amount in the original report or performing addition or subtraction operation on the amounts in the multiple original reports.
Further, the removing the duplicate data in step S43 includes: two or more data reporting acquisition IDs exist in the same belonging period, and two or more data records exist in the same data reporting acquisition ID.
Further, the step S44 further includes a step S45: and judging the deadline type of the financial statement according to the belonging period, and adding a reporting period type field in the unified financial statement template.
The second purpose of the invention is realized by adopting the following technical scheme:
The terminal equipment comprises a processor, a memory and a computer program stored on the memory and capable of running on the processor, wherein the processor realizes the financial data cleaning method when executing the computer program.
The third purpose of the invention is realized by adopting the following technical scheme:
A storage medium having stored thereon a computer program which when executed implements the above-described method of cleaning financial data.
Compared with the prior art, the invention has the beneficial effects that:
the data sources are cleaned, the data which are already obsolete are removed, the format standardization processing is carried out on the financial statement of the same kind, the financial statement is converted into a unified financial statement template for storage, and the statistical analysis efficiency of the financial statement can be improved.
Drawings
FIG. 1 is a schematic flow chart of a financial data cleansing method of the present invention;
FIG. 2 is a unified template of a cash flow meter of the present invention;
FIG. 3 is an original report and original data of the cash flow sheets of the present invention;
FIG. 4 is a schematic diagram of the process of matching the original report with the unified template according to the present invention.
Detailed Description
The present invention will be further described with reference to the accompanying drawings and detailed description, wherein it is to be understood that, on the premise of no conflict, the following embodiments or technical features may be arbitrarily combined to form new embodiments.
A financial data cleaning method is realized through a key tool, and can be used for carrying out format standardization processing on financial reports of different types and different formats, converting the financial reports into financial reports with a unified template, and facilitating analysis and management of the financial data in later period.
As shown in fig. 1, the method for cleaning financial data includes the steps of:
step S1: and acquiring the data source, and performing removal and invalidation treatment on the data source.
The data source can carry out authorized acquisition after being docked with the enterprise management system, wherein the data source comprises but is not limited to a financial statement to be processed, a data report acquisition table and a tax payer information table; the financial statement to be processed comprises a liability statement, a profit statement and a cash flow statement; the asset liability list, the profit list and the cash flow list comprise fields such as a list main key ID, a data reporting acquisition ID, a two-dimensional list line serial number, a project name, an amount, an input date and the like, and data corresponding to each field are recorded.
The data reporting collection table comprises data reporting collection ID, registration number, belonging period stop, input date, and revocation mark, and the taxpayer information table comprises registration number, taxpayer name, etc.
After the data source is obtained, the data source is subjected to the following waste removal treatment:
Step S11: extracting the data reporting acquisition ID in each to-be-processed financial statement, extracting the data reporting acquisition ID in the data reporting acquisition table, and internally connecting the to-be-processed financial statement with a statement with the same data reporting acquisition ID in the data reporting acquisition table;
step S12: then, extracting the registration serial number in the data report acquisition table and the registration serial number in the taxpayer information table, and internally connecting the report with the same registration serial number;
Step S13: and extracting a revocation flag pre-recorded in the data reporting and collecting table, removing revocation data meeting the screening conditions by taking a field of the revocation flag as the screening conditions, and only reserving reporting records existing in the asset liability table, the profit table and the cash flow table, so that the preprocessing step of the data source can be completed.
Step S2: searching an original report template corresponding to each to-be-processed financial report, and classifying all to-be-processed financial reports according to the type of the original report template of each to-be-processed financial report.
Each enterprise uses different original report templates according to habits or demands of the enterprise, so that the original report templates of each report type need to be found out according to the original data, the types of each financial report to be processed are determined according to the templates, and each report is classified according to the report types.
Step S3: and determining a unified financial statement template of each similar financial statement to be processed.
Because most of the financial reports are the same as or similar to the financial reports of the general enterprise accounting system, the financial reports of the general enterprise accounting system are used as unified financial report templates; and a unified template of the type of report is formulated for each similar report, so that the format of each financial report to be processed is standardized.
Step S4: after carrying out item matching on all similar original report templates, converting the same into corresponding unified financial report templates, wherein the method comprises the following steps:
step S41: converting the project names in each original report template into the project names in the unified financial report template through the two-dimensional list line serial numbers;
Step S42: and calculating the amount in the original report template according to the preset corresponding relation, and converting the calculated amount into the corresponding item amount in the unified financial report.
The preset corresponding relation comprises the steps of reserving the amount in the original report forms or carrying out addition or subtraction operation on the amount in the plurality of original report forms.
For example: as shown in fig. 2 to 4, fig. 2 is a unified template of cash flow sheets generated by an operation activity, and fig. 3 is an original report and original data of cash flow sheets generated by an operation activity.
As shown in the matching process of fig. 4, in the step S41 and the step S42, the item names in the original table (original report) are matched with the item names of the unified template through the two-dimensional table row serial numbers, and meanwhile, the specific method for performing the corresponding calculation processing on the amount is as follows:
The item of the sequence number 1 in the original table has no practical meaning and is not matched;
The items of serial numbers 2, 3 and 4 in the original table correspond to the item of serial number 1 in the unified template, then the three items of serial numbers 2, 3 and 4 correspond to the item of serial number 1 in the unified template, and the original amounts of the items of serial numbers 2, 3 and 4 are added and converted into the amount of the item of serial number 1 in the unified template;
And if no item with the unified template number of 2 exists in the original table, 0 is recorded in the amount corresponding to the item with the unified template number of 2.
And if the item with the sequence number 5 in the original table corresponds to the item with the sequence number 3 in the unified template, the amount of the sequence number 5 in the original table corresponds to the amount of the sequence number 3 in the unified template.
Step S43: and carrying out de-duplication processing on repeated data in the unified financial statement, and reserving the data of the latest input date.
The data condition requiring duplication removal comprises that two or more data reporting acquisition IDs exist in the same belonging period, or two or more data records exist in the same data reporting acquisition ID. Each datagram acquisition ID represents a unique identification of an enterprise uploading report at an affiliated date. The belonging period is the starting and ending time of the report data, and comprises the starting and ending time of the belonging period; for example, the belonging period of the asset liability statement month report in 2019 1 is 2019-01-01, and the belonging period is 2019-01-31.
If two or more records exist in the same belonging period or two or more data records exist in the same data reporting and collecting ID, the record with the latest date is accessed and the rest data are deleted.
Step S44: and converting the item names arranged according to the rows in the unified financial statement into column fields, and storing the column fields in a database.
Because the storage arrangement mode of the unified financial statement data of the enterprise reporting tax office in the database is not beneficial to the statistical analysis of the data, the data arrangement work is troublesome, and therefore, the unified financial statement arranged according to the rows is converted into the mode arranged according to the columns, and the later statistics and reading are convenient.
Step S45: and judging the deadline type of the financial report according to the belonging period, and adding a reporting period type field in the unified financial report template, so that a user can conveniently search the corresponding financial report according to the reporting period, and the searching efficiency is improved.
Example two
The terminal equipment comprises a processor, a memory and a computer program stored on the memory and capable of running on the processor, wherein the processor realizes the financial data cleaning method when executing the computer program.
In addition, the invention also provides a storage medium, on which a computer program is stored, which when executed implements the above-described method for cleaning financial data. The invention is operational with numerous general purpose or special purpose computing system environments or configurations. For example: personal computers, server computers, hand-held or portable devices, tablet devices, multiprocessor systems, microprocessor-based systems, set top boxes, programmable consumer electronics, network PCs, minicomputers, mainframe computers, distributed computing environments that include any of the above systems or devices, and the like.
The apparatus in this embodiment and the method in the foregoing embodiment are based on two aspects under the same inventive concept, and the detailed description of the method implementation process has been described above, so those skilled in the art can clearly understand the structure and implementation process of the system in this embodiment according to the foregoing description, and for brevity of the description, the details are not repeated here.
The above embodiments are only preferred embodiments of the present invention, and the scope of the present invention is not limited thereto, but any insubstantial changes and substitutions made by those skilled in the art on the basis of the present invention are intended to be within the scope of the present invention as claimed.
Claims (3)
1. A method of cleaning financial data comprising:
Step S1: acquiring a data source, and removing the data source for the treatment of waste; the data source comprises a financial statement to be processed, a data reporting and collecting table and a tax payer information table;
Step S2: searching an original report template corresponding to each to-be-processed financial report, and classifying all to-be-processed financial reports according to the type of the original report template of each to-be-processed financial report;
step S3: determining a unified financial statement template of each similar financial statement to be processed;
Step S4: performing item matching on all similar original report templates, and then converting the same into corresponding unified financial report templates;
Wherein the financial statement to be processed comprises an asset liability statement, a profit statement and a cash flow statement; the financial statement to be processed comprises a primary table key ID, a data report acquisition ID, a two-dimensional table row serial number, a project name, an amount and an input date;
The data reporting and collecting table comprises a data reporting and collecting ID, a registration serial number, a belonging period start, a belonging period stop, an input date and a revocation mark;
the method for removing the waste treatment of the data source in the step S1 comprises the following steps:
step S11: connecting the financial statement to be processed with the data reporting acquisition table through the field of 'data reporting acquisition ID';
Step S12: the tax payer information sheet is internally connected with the register sequence number field;
Step S13: taking the 'waste mark' field as a screening condition, removing waste data meeting the screening condition, and only keeping reporting records existing in the asset liability list, the profit list and the cash flow list;
the method for performing item matching on all similar original report templates in the step S4 and then converting the same into corresponding unified financial report templates is as follows:
step S41: converting the project names in each original report template into the project names in the unified financial report template through the two-dimensional list line serial numbers;
Step S42: calculating the amount in the original report template according to the preset corresponding relation, and converting the calculated amount into the corresponding item amount in the unified financial report;
step S43: performing duplicate removal processing on repeated data in the unified financial statement, and reserving data of the latest input date;
step S44: converting the item names arranged according to the rows in the unified financial statement into column fields, and storing the column fields in a database;
the corresponding relation preset in the step S42 includes reserving the amount of money in the original report form or performing addition or subtraction operation on the amounts of money in the plurality of original report forms;
The removing the duplicate data in step S43 includes: two or more data reporting acquisition IDs exist in the same belonging period, and two or more data records exist in the same data reporting acquisition ID;
wherein, step S44 further includes step S45: and judging the deadline type of the financial statement according to the belonging period, and adding a reporting period type field in the unified financial statement template.
2. A terminal device comprising a processor, a memory and a computer program stored on the memory and executable on the processor, the processor implementing the method of cleaning financial data as claimed in claim 1 when the computer program is executed by the processor.
3. A storage medium having stored thereon a computer program which when executed implements the method of cleaning financial data of claim 1.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201911277537.1A CN111178028B (en) | 2019-12-11 | 2019-12-11 | Financial data cleaning method, equipment and storage medium |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201911277537.1A CN111178028B (en) | 2019-12-11 | 2019-12-11 | Financial data cleaning method, equipment and storage medium |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN111178028A CN111178028A (en) | 2020-05-19 |
| CN111178028B true CN111178028B (en) | 2024-06-04 |
Family
ID=70657192
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201911277537.1A Active CN111178028B (en) | 2019-12-11 | 2019-12-11 | Financial data cleaning method, equipment and storage medium |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN111178028B (en) |
Families Citing this family (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113010590B (en) * | 2021-02-24 | 2023-07-07 | 光大兴陇信托有限责任公司 | Unified supervision reporting method and system |
Citations (12)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101388038A (en) * | 2008-10-28 | 2009-03-18 | 杭州华三通信技术有限公司 | Method and device for executing data decimation, conversion and load |
| CN102117306A (en) * | 2010-01-04 | 2011-07-06 | 阿里巴巴集团控股有限公司 | Method and system for monitoring ETL (extract-transform-load) data processing process |
| CN103885999A (en) * | 2013-03-28 | 2014-06-25 | 中国证券监督管理委员会信息中心 | Indexing template for defining XBRL (extensible business reporting language) and business correspondence |
| CN105260343A (en) * | 2015-09-24 | 2016-01-20 | 四川长虹电器股份有限公司 | Method for creating XBRL financial report extension classification standard mapping template |
| CN106776822A (en) * | 2016-11-25 | 2017-05-31 | 远光软件股份有限公司 | Conglomerate's report data extracting method and system |
| CN106844320A (en) * | 2016-12-27 | 2017-06-13 | 税友软件集团股份有限公司 | A kind of financial statement integration method and equipment |
| CN107766311A (en) * | 2017-09-27 | 2018-03-06 | 武汉达策信息技术有限公司 | Risk investment method for reporting data and system are automatically generated based on OnlineBox systems |
| KR20180094559A (en) * | 2017-02-16 | 2018-08-24 | 주식회사 인프라웨어 | Method and apparatus for prividing templates in document creating program |
| CN108595190A (en) * | 2018-04-23 | 2018-09-28 | 平安科技（深圳）有限公司 | Report tool building method, device, computer installation and storage medium |
| CN109086295A (en) * | 2018-06-13 | 2018-12-25 | 中国平安人寿保险股份有限公司 | Method of data synchronization, device, computer equipment and storage medium |
| CN109558414A (en) * | 2018-10-15 | 2019-04-02 | 平安科技（深圳）有限公司 | Checking method, device, computer equipment and the storage medium of financial data |
| CN109688215A (en) * | 2018-12-24 | 2019-04-26 | 安徽经邦软件技术有限公司 | Report reporting system and implementation method based on group management |
Family Cites Families (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20110307771A1 (en) * | 2010-06-15 | 2011-12-15 | Lok Wai Man | Method for generating financial report |
-
2019
- 2019-12-11 CN CN201911277537.1A patent/CN111178028B/en active Active
Patent Citations (12)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101388038A (en) * | 2008-10-28 | 2009-03-18 | 杭州华三通信技术有限公司 | Method and device for executing data decimation, conversion and load |
| CN102117306A (en) * | 2010-01-04 | 2011-07-06 | 阿里巴巴集团控股有限公司 | Method and system for monitoring ETL (extract-transform-load) data processing process |
| CN103885999A (en) * | 2013-03-28 | 2014-06-25 | 中国证券监督管理委员会信息中心 | Indexing template for defining XBRL (extensible business reporting language) and business correspondence |
| CN105260343A (en) * | 2015-09-24 | 2016-01-20 | 四川长虹电器股份有限公司 | Method for creating XBRL financial report extension classification standard mapping template |
| CN106776822A (en) * | 2016-11-25 | 2017-05-31 | 远光软件股份有限公司 | Conglomerate's report data extracting method and system |
| CN106844320A (en) * | 2016-12-27 | 2017-06-13 | 税友软件集团股份有限公司 | A kind of financial statement integration method and equipment |
| KR20180094559A (en) * | 2017-02-16 | 2018-08-24 | 주식회사 인프라웨어 | Method and apparatus for prividing templates in document creating program |
| CN107766311A (en) * | 2017-09-27 | 2018-03-06 | 武汉达策信息技术有限公司 | Risk investment method for reporting data and system are automatically generated based on OnlineBox systems |
| CN108595190A (en) * | 2018-04-23 | 2018-09-28 | 平安科技（深圳）有限公司 | Report tool building method, device, computer installation and storage medium |
| CN109086295A (en) * | 2018-06-13 | 2018-12-25 | 中国平安人寿保险股份有限公司 | Method of data synchronization, device, computer equipment and storage medium |
| CN109558414A (en) * | 2018-10-15 | 2019-04-02 | 平安科技（深圳）有限公司 | Checking method, device, computer equipment and the storage medium of financial data |
| CN109688215A (en) * | 2018-12-24 | 2019-04-26 | 安徽经邦软件技术有限公司 | Report reporting system and implementation method based on group management |
Non-Patent Citations (2)
| Title |
|---|
| 住房公积金内部审计信息化平台架构初探;马军;《中国房地产》;73-76 * |
| 基于工作导向的"财务报表分析"教学内容与教学模式改进;郭子云;《广西质量监督导报》;35-36 * |
Also Published As
| Publication number | Publication date |
|---|---|
| CN111178028A (en) | 2020-05-19 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN111309759B (en) | Intelligent matching platform for enterprise science and technology projects | |
| CN109920506B (en) | Medical statistics report generation method, device, equipment and storage medium | |
| US9495412B1 (en) | Technical electronic discovery action model | |
| US11182364B2 (en) | Data analysis support apparatus and data analysis support method | |
| CN110928903B (en) | Data extraction method and device, equipment and storage medium | |
| Hamad et al. | An enhanced technique to clean data in the data warehouse | |
| CN112000656A (en) | Intelligent data cleaning method and device based on metadata | |
| CN112162960A (en) | Health government affair information sharing method, device and system | |
| US20240095256A1 (en) | Method and system for persisting data | |
| CN111178028B (en) | Financial data cleaning method, equipment and storage medium | |
| CN116452212A (en) | Intelligent customer service commodity knowledge base information management method and system | |
| CN111160681A (en) | Method, device and storage medium for evaluating user income level based on user income and expenditure data | |
| CN110597899B (en) | Project expense management method and system | |
| Maślankowski | Data quality issues concerning statistical data gathering supported by big data technology | |
| Faiz | Multi-approaches on scrubbing data for medium-sized enterprises | |
| US8630996B2 (en) | Identifying duplicate entries in a historical database | |
| US20050131855A1 (en) | Data cleaning | |
| CN109656981B (en) | Data statistics method and system | |
| CN109344145B (en) | Data standard specification-based data cleaning method, device and system | |
| CN114547231A (en) | Data tracing method and system | |
| CN113435701B (en) | Method and device for processing consumption quality information | |
| JP5402000B2 (en) | Data storage system and data management method | |
| Sal et al. | Towards the Specification and Generation of Time Series Datasets from Data Lakes | |
| CN117785860A (en) | Household appliance manufacturing data management method, device, equipment and storage medium | |
| CN113077115A (en) | Intelligent financial data analysis system and method |
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 | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |