CN110991922A - Enterprise accurate analysis method based on enterprise portrait - Google Patents
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Abstract
The invention belongs to the technical field of enterprise data analysis, in particular to an enterprise accurate analysis method based on enterprise portrait, which aims at the problems that the existing enterprise data analysis mode is simple and the data cannot be accurately and finely analyzed and collected, and provides the following scheme, comprising the following steps: s1: the enterprise related data is collected and analyzed; s2: the collected data are recorded into the Internet by combining a machine learning method; s3: establishing an enterprise portrait label; s4: analyzing and evaluating the operation condition of the enterprise; s5: the development courses of the same type of enterprises are collected through the Internet or in person, and a contrast image is established; s6: and classifying, summarizing and summarizing the analyzed data, and collecting and classifying different data information in S1 to obtain different types of data. The method is convenient to operate, can finely analyze and collect enterprise data, establishes a contrast mode and is convenient to observe visually.
Description
Technical Field
The invention relates to the technical field of enterprise data analysis, in particular to an enterprise accurate analysis method based on enterprise portrait.
Background
With the rapid development of new technologies such as mobile internet, internet of things and the like, people enter the data era, a lot of data information can be classified, analyzed and stored through the internet, and enterprise images and reputation are presented on the internet in a fragmentation mode. How to obtain the cognition degree of the enterprise in the netizens from the full-media mass data is of great importance for drawing a comprehensive enterprise network image.
The existing enterprise data analysis mode is simple, and data cannot be accurately and finely analyzed and collected.
Disclosure of Invention
The invention aims to solve the defects that the existing enterprise data analysis mode is simple and the data cannot be accurately and precisely analyzed and collected, and provides an enterprise accurate analysis method based on enterprise portrait.
In order to achieve the purpose, the invention adopts the following technical scheme:
the enterprise precise analysis method based on the enterprise portrait comprises the following steps:
s1: the enterprise related data is collected and analyzed;
s2: the collected data are recorded into the Internet by combining a machine learning method;
s3: establishing an enterprise portrait label;
s4: analyzing and evaluating the operation condition of the enterprise;
s5: the development courses of the same type of enterprises are collected through the Internet or in person, and a contrast image is established;
s6: the analyzed data are classified, generalized and summarized.
Preferably, in S1, different data information is collected and classified to obtain different types of data, and the classified enterprise information is analyzed.
Preferably, the data classification method may adopt: different types of classification modes, market demand classification modes and profit thickness classification modes.
Preferably, in S2, a special website is established by a computer, the classified and analyzed data is entered into a special internet website, and a login password is set to ensure confidentiality of enterprise data.
Preferably, the data recorded in S3 is subjected to imaging processing, the data is converted into an image mode, which is convenient for observation and comparison, and the main data is labeled, which is convenient for extraction and viewing.
Preferably, in S4, the business operation status is analyzed and evaluated based on the data after the imaging process, and the history records are retrieved for analysis and comparison, and the labeled data is emphasized.
Preferably, in S5, the development histories of the same type of enterprises are collected through the internet or in person, the business situation data of the same type of enterprises are observed to make an image, a comparison image is created, and the business situation data image of the same type of enterprises is compared with the own enterprise imaging data.
Preferably, the established comparison mode can be a curve comparison mode or a column comparison mode, and the comparison mode can be compared through price, sales volume or profit situation.
Preferably, the analyzed data is classified and summarized in S6, and the data of the data itself is summarized to prepare the development history into a development curve.
Preferably, the development curves are classified and stored, the development curves can be compared with the market, corresponding adjustment can be conveniently made seasonally, data images beneficial to enterprise development are displayed on the Internet, and the enterprise image is improved.
Compared with the prior art, the invention has the advantages that:
according to the scheme, the enterprise label is established by collecting and analyzing the enterprise related data and combining a machine learning method, the enterprise operation condition is analyzed and evaluated, the target of accurate analysis and accurate operation is achieved, the input data is subjected to imaging processing, the data is converted into an image mode, observation and comparison can be facilitated, the label is set for the main data, and extraction and viewing can be facilitated.
The method is convenient to operate, can finely analyze and collect enterprise data, establishes a contrast mode and is convenient to observe visually.
Drawings
FIG. 1 is a block diagram of an enterprise precise analysis method based on enterprise portraits according to the present invention.
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.
Referring to fig. 1, the enterprise precise analysis method based on enterprise portrait includes the following steps:
s1: the enterprise related data is collected and analyzed;
s2: the collected data are recorded into the Internet by combining a machine learning method;
s3: establishing an enterprise portrait label;
s4: analyzing and evaluating the operation condition of the enterprise;
s5: the development courses of the same type of enterprises are collected through the Internet or in person, and a contrast image is established;
s6: the analyzed data are classified, generalized and summarized.
In this embodiment, in S1, different types of data information are acquired and classified to obtain different types of data, and the classified enterprise information is analyzed.
In this embodiment, the data classification method may adopt: different types of classification modes, market demand classification modes and profit thickness classification modes.
In this embodiment, a special website is established in S2 through a computer, the classified and analyzed data is entered into a special internet website, and a login password is set to ensure confidentiality of enterprise data.
In this embodiment, the data recorded in S3 is subjected to imaging processing, and the data is converted into an image mode, which facilitates observation and comparison, and the main data is labeled, which facilitates extraction and viewing.
In this embodiment, in S4, the operation status of the enterprise is analyzed and evaluated based on the data after the imaging process, and the history records are retrieved for analysis and comparison, and the data with the set labels is observed with emphasis.
In this embodiment, in S5, development histories of the same type of enterprises are collected through the internet or in person, and the business situation data of the same type of enterprises are observed to make an image, and a comparison image is created to compare the business situation data image of the same type of enterprise with the enterprise imaging data thereof.
In this embodiment, the established comparison mode may be a curve comparison mode or a column comparison mode, and the comparison mode may be a price comparison mode or a sales volume or profit condition comparison mode.
In this embodiment, the analyzed data is classified and summarized in S6, and the development history is prepared as a development curve by summarizing the data of the data itself.
In the embodiment, the development curves are classified and stored, the development curves can be compared with the market, corresponding adjustment can be conveniently made seasonally, data images beneficial to enterprise development are displayed on the Internet, and the enterprise image is improved.
The above description is only for the preferred embodiment of the present invention, but the scope of the present invention is not limited thereto, and any person skilled in the art should be considered to be within the technical scope of the present invention, and the technical solutions and the inventive concepts thereof according to the present invention should be equivalent or changed within the scope of the present invention.
Claims (10)
1. The enterprise accurate analysis method based on the enterprise portrait is characterized by comprising the following steps:
s1: the enterprise related data is collected and analyzed;
s2: the collected data are recorded into the Internet by combining a machine learning method;
s3: establishing an enterprise portrait label;
s4: analyzing and evaluating the operation condition of the enterprise;
s5: the development courses of the same type of enterprises are collected through the Internet or in person, and a contrast image is established;
s6: the analyzed data are classified, generalized and summarized.
2. The method for enterprise precise analysis based on an enterprise representation as claimed in claim 1, wherein in S1, different data information is collected and classified to obtain different types of data, and the classified enterprise information is analyzed.
3. The method for enterprise-representation-based accurate analysis of an enterprise of claim 2, wherein the data classification is performed by: different types of classification modes, market demand classification modes and profit thickness classification modes.
4. The enterprise image-based accurate analysis method for enterprises of claim 1 wherein in S2, a special website is established by a computer, and classified and analyzed data are entered into a special internet website, and a login password is set to ensure confidentiality of enterprise data.
5. The enterprise precise analysis method based on enterprise portrait according to claim 1, wherein in S3, the entered data is processed into an image, the data is converted into an image mode, which is convenient for observation and comparison, and the main data is labeled so as to be convenient for extraction and viewing.
6. The method for enterprise precise analysis based on enterprise representation as claimed in claim 1, wherein in S4, the operation status of the enterprise is analyzed and evaluated by the data after imaging, the history records are called for analysis and comparison, and the labeled data is emphasized.
7. The method of claim 1, wherein in step S5, the development histories of the same type of enterprises are collected via internet or in person, the business situation data of the same type of enterprises are observed and processed into images, and comparison images are created to compare the business situation data images of the same type of enterprises with the own enterprise imaging data.
8. The method for enterprise precise analysis based on enterprise representation as claimed in claim 7, wherein the established comparison mode can be a curve comparison mode or a column comparison mode, and the comparison mode can be through price comparison, sales volume or profit situation comparison.
9. The method of claim 1, wherein the step of S6 classifies the analyzed data, summarizes the data, and generates a development curve according to the development history.
10. The enterprise precise analysis method based on enterprise images as claimed in claim 9, wherein the development curves are classified and stored, the development curves can be compared with the market, corresponding adjustment can be made seasonally, and data images beneficial to enterprise development can be displayed on the internet, so as to improve the enterprise image.
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| CN201911273021.XA CN110991922A (en) | 2019-12-12 | 2019-12-12 | Enterprise accurate analysis method based on enterprise portrait |
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111489105A (en) * | 2020-05-06 | 2020-08-04 | 支付宝(杭州)信息技术有限公司 | Enterprise risk identification method, device and equipment |
| CN111815173A (en) * | 2020-07-10 | 2020-10-23 | 东软集团（上海）有限公司 | Enterprise portrait assessment method based on association rule |
Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN107527149A (en) * | 2017-08-25 | 2017-12-29 | 前海梧桐（深圳）数据有限公司 | For analyzing the method and system of enterprise's Situation Awareness |
| CN108572967A (en) * | 2017-03-09 | 2018-09-25 | 神州数码***集成服务有限公司 | A kind of method and device creating enterprise's portrait |
| CN109492021A (en) * | 2018-09-26 | 2019-03-19 | 平安科技（深圳）有限公司 | Enterprise's portrait information query method, device, computer equipment and storage medium |
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2019
- 2019-12-12 CN CN201911273021.XA patent/CN110991922A/en active Pending
Patent Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108572967A (en) * | 2017-03-09 | 2018-09-25 | 神州数码***集成服务有限公司 | A kind of method and device creating enterprise's portrait |
| CN107527149A (en) * | 2017-08-25 | 2017-12-29 | 前海梧桐（深圳）数据有限公司 | For analyzing the method and system of enterprise's Situation Awareness |
| CN109492021A (en) * | 2018-09-26 | 2019-03-19 | 平安科技（深圳）有限公司 | Enterprise's portrait information query method, device, computer equipment and storage medium |
Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111489105A (en) * | 2020-05-06 | 2020-08-04 | 支付宝(杭州)信息技术有限公司 | Enterprise risk identification method, device and equipment |
| CN111489105B (en) * | 2020-05-06 | 2021-05-25 | 支付宝(杭州)信息技术有限公司 | Enterprise risk identification method, device and equipment |
| CN113435762A (en) * | 2020-05-06 | 2021-09-24 | 支付宝(杭州)信息技术有限公司 | Enterprise risk identification method, device and equipment |
| CN113435762B (en) * | 2020-05-06 | 2023-08-08 | 支付宝(杭州)信息技术有限公司 | Enterprise risk identification method, device and equipment |
| CN111815173A (en) * | 2020-07-10 | 2020-10-23 | 东软集团（上海）有限公司 | Enterprise portrait assessment method based on association rule |
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Application publication date: 20200410 |