CN113159549A - Enterprise-level data service platform construction method - Google Patents
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Abstract
The invention discloses a construction method of an enterprise-level data service platform, which relates to the technical field of data management, and comprises a login window, an enterprise data platform and a client data platform, wherein the enterprise data platform and the client data platform are arranged, the client data platform provides corresponding data service for enterprise clients, which is beneficial to increasing the trust of the clients to enterprises, the enterprise data platform is independent of the client data platform, the client cannot refer to the enterprise data platform when browsing data information, so that the security of core data of the enterprises is ensured, in addition, the client sets two input modes of voice and manual operation on the input mode, so that various input options are provided for different clients, the input information is stored by a record storage module, the referred data information is convenient to call, and the data referred by the clients through the client data platform can be transmitted to the enterprise data platform, the method is convenient for helping to analyze enterprise information concerned by the client, so that the enterprise is improved.
Description
Technical Field
The invention relates to the technical field of data management, in particular to a construction method of an enterprise-level data service platform.
Background
With the continuous promotion of enterprise information construction, many enterprises construct own enterprise-level data warehouses and build data center platforms, centralized storage and simple data management of data are achieved, the data service platform is a bridge established between a front-end business system and a rear-end data platform and serves as a data service center of the enterprise to provide data services between business systems and between the data platform and upstream and downstream systems. The platform realizes sharing and use of data among all systems through modes such as centralized management and the like, enables data of an enterprise to be circulated among all systems, fully exerts value of data assets, is widely applied to financial industries such as banks, securities, insurance, financial companies, consumption finance and the like, establishes a unified data service center of the enterprise, and meets the requirements of static data interfacing and service management unification of the enterprise.
However, the traditional enterprise data platform only provides data services for internal personnel of an enterprise, the data service range is small, the superiority of the data service platform cannot be found, and the most direct and effective data of a client cannot be known through the data service platform.
Disclosure of Invention
Aiming at the defects of the prior art, the invention provides a construction method of an enterprise-level data service platform, and solves the problems that the data service platform is only small in open service range facing the interior of an enterprise, the data storage is messy, and effective data cannot be obtained in time.
In order to achieve the purpose, the invention is realized by the following technical scheme: the construction method of the enterprise-level data service platform comprises a login window, an enterprise data platform and a client data platform, wherein the output end of the login window is respectively connected with the input ends of the enterprise data platform and the client data platform, the output end of the enterprise data platform is respectively connected with the input ends of a core file space and a shared file space, and the output end of the client data platform is connected with the input end of the enterprise data platform.
The client data platform comprises an information retrieval module, a voice input module, a manual input module and a record storage module, wherein the output end of the information retrieval module is connected with the input ends of the voice input module and the manual input module, the output ends of the voice input module and the manual input module are connected with the input end of the record storage module, and the output end of the record storage module is connected with the input end of the information retrieval module.
Further, client data platform includes information retrieval module, voice input module, manual input module and record storage module, information retrieval module's output all is connected with voice input module and manual input module's input, manual input module's output is connected with record storage module's input, record storage module's output is connected with information retrieval module's input.
Furthermore, the record storage module comprises a search record module, a project dividing module, a data analysis module and a data output module, wherein the output end of the search record module is connected with the input end of the project dividing module, the output end of the project dividing module is connected with the input end of the data analysis module, and the output end of the data analysis module is connected with the input end of the data output module.
Furthermore, the core file space comprises an identity verification module, a category division module, a character information database, a picture information database, a video information database, a data lightweight processing module and a comparison analysis module, wherein the output end of the identity verification module is connected with the input end of the category division module.
Furthermore, the output end of the category division module is connected with the input end of a character information database, and the output end of the character information database is connected with the input end of a picture information database.
Furthermore, the output end of the picture information database is connected with the input end of the video information database, the output end of the video information database is connected with the input end of the data lightweight processing module, and the output end of the data lightweight processing module is connected with the input end of the comparison analysis module.
Furthermore, the shared file space comprises a data collection module, a data period updating module, a data retrieval module, a data display module and an information interaction module, wherein the output end of the data collection module is connected with the input end of the data period updating module.
Furthermore, the output end of the data period updating module is connected with the input end of the data retrieval module, the output end of the data retrieval module is connected with the input end of the data display module, and the output end of the data display module is connected with the input end of the information interaction module.
The invention also discloses a construction method of the enterprise-level data service platform, which specifically comprises the following steps:
step one, platform selection: a user can enter the enterprise data platform or the client data platform through the login window, relevant enterprise information retrieval can be carried out after the client data platform is selected, the two input modes of the voice input module and the manual input module are provided, retrieved input information is recorded and stored by the recording storage module, and recorded information is fed back to the information retrieval module, so that retrieved data content can be conveniently retrieved.
Step two, recording and storing: when the client data platform is used for retrieval, the retrieved contents are stored by the search recording module, then the retrieved contents are classified and analyzed, finally the data are output through the data output module and serve as a reference basis for analysis of client requirements of enterprises, and the content keywords which are not retrieved are recorded by the contraction recording module and serve as the search contents for data arrangement and updating.
Step three, data updating and sorting: the data recorded in daily search is divided into a character, picture and video information database through a category division module file, light weight processing is carried out on the data, repeated and identical contents in the database are deleted, the data after being refined are analyzed through a comparison analysis module, a user is helped to understand the information, and in addition, a data collection module regularly collects updated data to perfect the data.
Advantageous effects
The invention provides a construction method of an enterprise-level data service platform. Compared with the prior art, the method has the following beneficial effects:
1. an enterprise-level data service platform construction method comprises a login window, an enterprise data platform and a client data platform, wherein the output end of the login window is respectively connected with the input ends of the enterprise data platform and the client data platform, the output end of the enterprise data platform is respectively connected with the input ends of a core file space and a shared file space, the output end of the client data platform is connected with the input end of the enterprise data platform, the client data platform comprises an information retrieval module, a voice input module, a manual input module and a record storage module, the output end of the information retrieval module is connected with the input ends of the voice input module and the manual input module, the output ends of the voice input module and the manual input module are both connected with the input end of the record storage module, and the output end of the record storage module is connected with the input end of the information retrieval module, the enterprise data platform and the client data platform are arranged, the client data platform provides corresponding data service for enterprise clients, the clients can know more enterprise culture and related product information, the trust degree of the clients on enterprises is increased, the enterprise data platform is independent of the client data platform, the client cannot refer to the enterprise data platform when browsing data information, the security of enterprise core data is ensured, in addition, the client is provided with two input modes of voice and manual operation on the input mode, various input choices are provided for different clients, the requirements of most of people are met, the input information is stored by the record storage module, the referred data information is convenient to call, the data referred by the clients through the client data platform can be transmitted to the enterprise data platform, and the enterprise information concerned by the clients is convenient to help analyze, thereby improving the enterprise itself.
2. A method for building an enterprise-level data service platform comprises an identity verification module, a category division module, a text information database, a picture information database, a video information database, a data lightweight processing module and a comparison analysis module, wherein the output end of the identity verification module is connected with the input end of the category division module, the output end of the category division module is connected with the input end of the text information database, the output end of the text information database is connected with the input end of the picture information database, the output end of the picture information database is connected with the input end of the video information database, the output end of the video information database is connected with the input end of the data lightweight processing module, the output end of the data lightweight processing module is connected with the input end of the comparison analysis module, and the core file space can store important files in a classified manner, and the data are simplified through the data lightweight processing module, important files are selectively reserved and are contrastively analyzed, so that help is provided for a leader to make a decision.
3. The utility model provides a construction method of enterprise-level data service platform, shared file space includes the data collection module, data cycle update module, the data retrieval module, data display module and information interaction module, the output of data collection module is connected with the input of data cycle update module, the output of data cycle update module is connected with the input of data retrieval module, the output of data retrieval module is connected with the input of data display module, the output of data display module is connected with the input of information interaction module, shared file space can collect data and in time update, enterprise's staff can upload the sharing with the data in this region, accelerate data information's flow rate.
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FIG. 1 is a schematic block diagram of the system of the present invention;
FIG. 2 is a schematic block diagram of a client data platform of the present invention;
FIG. 3 is a functional block diagram of a record storage module according to the present invention;
FIG. 4 is a schematic block diagram of the core file space of the present invention;
FIG. 5 is a schematic block diagram of the shared file space of the present invention.
In the figure: 1. logging in a window; 2. an enterprise data platform; 3. a client data platform; 31. an information retrieval module; 32. a voice input module; 33. a manual input module; 34. a record storage module; 341. a search record module; 342. a project partitioning module; 343. a data analysis module; 344. a data output module; 4. a core file space; 41. an identity verification module; 42. a category division module; 43. a text information database; 44. a picture information database; 45. a video information database; 46. a data lightweight processing module; 47. a comparison analysis module; 5. sharing a file space; 51. a data collection module; 52. a data cycle updating module; 53. a data retrieval module; 54. a data display module; 55. and an information interaction module.
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. 1-5, the present invention provides a technical solution: an enterprise-level data service platform construction method comprises a login window 1, an enterprise data platform 2 and a client data platform 3, wherein the output end of the login window 1 is respectively connected with the input ends of the enterprise data platform 2 and the client data platform 3, the output end of the enterprise data platform 2 is respectively connected with the input ends of a core file space 4 and a shared file space 5, the output end of the client data platform 3 is connected with the input end of the enterprise data platform 2, the client data platform 3 comprises an information retrieval module 31, a voice input module 32, a manual input module 33 and a record storage module 34, the output end of the information retrieval module 31 is connected with the input ends of the voice input module 32 and the manual input module 33, the output ends of the voice input module 32 and the manual input module 33 are both connected with the input end of the record storage module 34, the output end of the record storage module 34 is connected with the input end of the information retrieval module 31, the client data platform 3 includes an information retrieval module 31, a voice input module 32, a manual input module 33 and a record storage module 34, the output end of the information retrieval module 31 is connected to the input ends of the voice input module 32 and the manual input module 33, the output end of the manual input module 33 is connected to the input end of the record storage module 34, the output end of the record storage module 34 is connected to the input end of the information retrieval module 31, the record storage module 34 includes a search recording module 341, an item dividing module 342, a data analysis module 343 and a data output module 344, the output end of the search recording module 341 is connected to the input end of the item dividing module 342, the output end of the item dividing module 342 is connected to the input end of the data analysis module 343, the output end of the data analysis module 343 is connected to the input end of the data output module 344, the core file space 4 includes an identity verification module 41, a manual input module 342, and a record storage module 34, The file sharing system comprises a category dividing module 42, a text information database 43, a picture information database 44, a video information database 45, a data lightweight processing module 46 and a contrastive analysis module 47, wherein the output end of an identity verification module 41 is connected with the input end of the category dividing module 42, the output end of the category dividing module 42 is connected with the input end of the text information database 43, the output end of the text information database 43 is connected with the input end of the picture information database 44, the output end of the picture information database 44 is connected with the input end of the video information database 45, the output end of the video information database 45 is connected with the input end of the data lightweight processing module 46, the output end of the data lightweight processing module 46 is connected with the input end of the contrastive analysis module 47, the shared file space 5 comprises a data collecting module 51, a data period updating module 52, a data retrieval module 53, the output end of the data collection module 51 is connected with the input end of the data period updating module 52, the output end of the data period updating module 52 is connected with the input end of the data retrieval module 53, the output end of the data retrieval module 53 is connected with the input end of the data presentation module 54, and the output end of the data presentation module 54 is connected with the input end of the information interaction module 55.
The invention also discloses a construction method of the enterprise-level data service platform, which specifically comprises the following steps:
step one, platform selection: a user can enter the enterprise data platform 2 or the client data platform 3 through the login window 1, relevant enterprise information retrieval can be carried out after the client data platform 3 is selected, two input modes, namely a voice input module 32 and a manual input module 33, are arranged, retrieved input information is recorded and stored by the recording storage module 34, and recorded information is fed back to the information retrieval module 31, so that retrieved data content is convenient to call.
Step two, recording and storing: when the client data platform 3 is used for retrieval, the retrieved content is stored by the search recording module 341, then the retrieved content is classified and analyzed, and finally the data is output through the data output module 344 as a reference basis for analysis of client requirements by an enterprise, and the content keywords which are not retrieved are recorded by the contraction recording module 341 as the search content for data arrangement and update.
Step three, data updating and sorting: the data recorded in daily search is divided into text, picture and video information database 45 by category dividing module 42, and the data is processed with light weight, the content of repeat and duplicate in database is deleted, the simplified data is analyzed by comparison analysis module 47, which helps user understand the information, and data collection module 51 collects update data periodically to complete the data.
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.
Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that changes, modifications, substitutions and alterations can be made in these embodiments without departing from the principles and spirit of the invention, the scope of which is defined in the appended claims and their equivalents.
Claims (9)
1. The utility model provides an enterprise level data service platform construction system, includes login window (1), enterprise data platform (2) and client data platform (3), the output of login window (1) is connected with enterprise data platform (2), client data platform's (3) input respectively, its characterized in that: the output end of the enterprise data platform (2) is respectively connected with the input ends of the core file space (4) and the shared file space (5), and the output end of the client data platform (3) is connected with the input end of the enterprise data platform (2);
client data platform (3) include information retrieval module (31), voice input module (32), manual input module (33) and record storage module (34), the output and the input of voice input module (32) and manual input module (33) of information retrieval module (31) are connected, voice input module (32) and the output of manual input module (33) all are connected with the input of record storage module (34), the output and the input of information retrieval module (31) of record storage module (34) are connected.
2. The system of claim 1, wherein: client data platform (3) include information retrieval module (31), voice input module (32), manual input module (33) and record storage module (34), the output of information retrieval module (31) all is connected with voice input module (32) and manual input module's (33) input, the output of manual input module (33) is connected with the input of record storage module (34), the output of record storage module (34) is connected with the input of information retrieval module (31).
3. The system of claim 1, wherein: the record storage module (34) comprises a search record module (341), an item division module (342), a data analysis module (343) and a data output module (344), wherein the output end of the search record module (341) is connected with the input end of the item division module (342), the output end of the item division module (342) is connected with the input end of the data analysis module (343), and the output end of the data analysis module (343) is connected with the input end of the data output module (344).
4. The system of claim 1, wherein: the core file space (4) comprises an identity authentication module (41), a category division module (42), a text information database (43), a picture information database (44), a video information database (45), a data lightweight processing module (46) and a comparison analysis module (47), and the output end of the identity authentication module (41) is connected with the input end of the category division module (42).
5. The system of claim 4, wherein: the output end of the category division module (42) is connected with the input end of a character information database (43), and the output end of the character information database (43) is connected with the input end of a picture information database (44).
6. The system of claim 5, wherein: the output end of the picture information database (44) is connected with the input end of a video information database (45), the output end of the video information database (45) is connected with the input end of a data lightweight processing module (46), and the output end of the data lightweight processing module (46) is connected with the input end of a contrast analysis module (47).
7. The system of claim 1, wherein: the shared file space (5) comprises a data collection module (51), a data period updating module (52), a data retrieval module (53), a data display module (54) and an information interaction module (55), wherein the output end of the data collection module (51) is connected with the input end of the data period updating module (52).
8. The system of claim 7, wherein: the output end of the data period updating module (52) is connected with the input end of the data retrieval module (53), the output end of the data retrieval module (53) is connected with the input end of the data display module (54), and the output end of the data display module (54) is connected with the input end of the information interaction module (55).
9. A method for constructing an enterprise-level data service platform according to any one of claims 1-8, wherein: the method specifically comprises the following steps:
step one, platform selection: a user can enter the enterprise data platform (2) or the client data platform (3) through the login window (1), relevant enterprise information retrieval can be carried out after the client data platform (3) is selected, a voice input module (32) and a manual input module (33) are adopted, retrieved input information is recorded and stored by a recording storage module (34), recorded information is fed back to an information retrieval module (31), and retrieved data content is convenient to call.
Step two, recording and storing: when the client data platform (3) is used for retrieval, the retrieved contents are stored by the search recording module (341), then the retrieved contents are classified and analyzed, finally the data are output through the data output module (344) to serve as a reference basis of an enterprise for client requirement analysis, and the unretrieved content keywords are recorded by the contraction recording module (341) and serve as the search contents for data arrangement and updating.
Step three, data updating and sorting: the data recorded in daily search is divided into a character, picture and video information database (45) through a category dividing module (42) file, and the data is subjected to lightweight processing, repeated and identical contents in the database are deleted, the simplified data is analyzed through a comparison analysis module (47), so that a user can understand the information, and a data collection module (51) collects updated data regularly to complete the data.
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Citations (11)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN102013074A (en) * | 2010-12-10 | 2011-04-13 | 河南锐之旗信息技术有限公司 | Electronic commerce service platform |
CN103491182A (en) * | 2013-09-29 | 2014-01-01 | 成都中科大旗软件有限公司 | Educational informationization open ecology platform based on cloud computing |
CN104036365A (en) * | 2014-06-26 | 2014-09-10 | 浪潮软件股份有限公司 | Method for constructing enterprise-level data service platform |
CN104363255A (en) * | 2014-10-11 | 2015-02-18 | 广西智通节能环保科技有限公司 | Distributive patent service system |
CN106096842A (en) * | 2016-06-15 | 2016-11-09 | 中国能源建设集团湖南火电建设有限公司 | A kind of management information system in enterprise and construction method thereof |
CN109359817A (en) * | 2018-09-13 | 2019-02-19 | 江苏站企动网络科技有限公司 | A kind of business information analysis management system |
CN109886790A (en) * | 2019-04-11 | 2019-06-14 | 苏州市黄道婆网络科技有限公司 | A kind of textile fabric management transaction system |
CN109885596A (en) * | 2019-01-23 | 2019-06-14 | 广州市聚星源科技有限公司 | Big data is pressed into extracting method |
CN109961209A (en) * | 2018-09-29 | 2019-07-02 | 大连九州创智科技有限公司 | The construction method of enterprise internal management information system |
CN110336886A (en) * | 2019-07-11 | 2019-10-15 | 上海企久数据技术有限公司 | A kind of multiagent, multi-user, multiple terminals collaboration wisdom garden cloud service system |
CN111177534A (en) * | 2019-12-06 | 2020-05-19 | 南京欣网互联信息技术有限公司 | User behavior trajectory analysis method based on Internet big data |
-
2021
- 2021-04-13 CN CN202110395074.XA patent/CN113159549A/en not_active Withdrawn
Patent Citations (11)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN102013074A (en) * | 2010-12-10 | 2011-04-13 | 河南锐之旗信息技术有限公司 | Electronic commerce service platform |
CN103491182A (en) * | 2013-09-29 | 2014-01-01 | 成都中科大旗软件有限公司 | Educational informationization open ecology platform based on cloud computing |
CN104036365A (en) * | 2014-06-26 | 2014-09-10 | 浪潮软件股份有限公司 | Method for constructing enterprise-level data service platform |
CN104363255A (en) * | 2014-10-11 | 2015-02-18 | 广西智通节能环保科技有限公司 | Distributive patent service system |
CN106096842A (en) * | 2016-06-15 | 2016-11-09 | 中国能源建设集团湖南火电建设有限公司 | A kind of management information system in enterprise and construction method thereof |
CN109359817A (en) * | 2018-09-13 | 2019-02-19 | 江苏站企动网络科技有限公司 | A kind of business information analysis management system |
CN109961209A (en) * | 2018-09-29 | 2019-07-02 | 大连九州创智科技有限公司 | The construction method of enterprise internal management information system |
CN109885596A (en) * | 2019-01-23 | 2019-06-14 | 广州市聚星源科技有限公司 | Big data is pressed into extracting method |
CN109886790A (en) * | 2019-04-11 | 2019-06-14 | 苏州市黄道婆网络科技有限公司 | A kind of textile fabric management transaction system |
CN110336886A (en) * | 2019-07-11 | 2019-10-15 | 上海企久数据技术有限公司 | A kind of multiagent, multi-user, multiple terminals collaboration wisdom garden cloud service system |
CN111177534A (en) * | 2019-12-06 | 2020-05-19 | 南京欣网互联信息技术有限公司 | User behavior trajectory analysis method based on Internet big data |
Non-Patent Citations (5)
Title |
---|
李志龙;张智云;黄少惠;李智勇;: "基于BIM标准的大数据服务平台研究", 福建建设科技, no. 01, 25 January 2018 (2018-01-25) * |
王磊;: "某市农业部门协同门户平台建设", 应用科技, no. 08, 15 August 2011 (2011-08-15) * |
覃叶;: "企业信息资源管理***的设计与实现", 电脑知识与技术, no. 32, 15 November 2016 (2016-11-15) * |
贺玉彬;王骞;张炜;: "建设流域公司一体化企业级信息平台――国电大渡河一体化企业级信息平台设计及建设分析", 电力信息化, no. 06, 15 June 2007 (2007-06-15) * |
金向阳;刘苏;: "信息资源服务平台研究与开发", 中国新通信, no. 08, 20 April 2017 (2017-04-20) * |
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