Gridding business demand mining method based on big data

Abstract

The invention discloses a gridding business demand mining method based on big data, and relates to the technical field of big data analysis and processing. Comprising the steps of 1, collecting basic information and enterprise event information of an enterprise, decomposing and storing the basic information and the enterprise event information of the enterprise, 2, carrying out grid division on a region in a user exhibition range to obtain each network region, and step 3, performing big data analysis and mining according to the enterprise basic information and the enterprise event information: establishing a business opportunity event library corresponding to the enterprise according to the enterprise basic information and the enterprise event information, mining a list library and a stock client library in combination with preset business demands, analyzing potential business demand information in each grid region, and performing big data mining according to the business opportunity event library. And step 4, performing business demand management on enterprises and business opportunities in the grid area according to the potential business demand information.

Description

Technical Field

[0001] The invention discloses a grid-based business demand mining method based on big data, and relates to the technical field of big data analysis and processing. Background Art

[0002] With the rapid development of big data technology, its application in the field of market forecasting and mining is becoming more and more extensive. However, existing business mining methods often fail to accurately locate target customers, and lack opportunities to identify target customers, resulting in low efficiency, low success rate, and high cost in mining business opportunities. Summary of the invention

[0003] In view of the problems of the prior art, the present invention provides a grid-based business demand mining method based on big data, which has the characteristics of strong versatility and simple implementation, and has broad application prospects.

[0004] The specific scheme proposed by the present invention is:

[0005] The present invention provides a grid-based business demand mining method based on big data, comprising:

[0006] Step 1: Collect basic information and enterprise event information of the enterprise, decompose and store the basic information and enterprise event information of the enterprise,

[0007] Step 2: Divide the area within the user's business scope into grids to obtain each network area.

[0008] Step 3: Perform big data analysis and mining based on basic enterprise information and enterprise event information: Establish a business opportunity event database corresponding to the enterprise based on basic enterprise information and enterprise event information, and mine the list database and existing customer database in combination with preset business needs to analyze the potential business demand information in each grid area.

[0009] Step 4: Based on potential business demand information, conduct business demand management for enterprises and business opportunities within the grid area.

[0010] Furthermore, in step 1 of the grid-based business demand mining method based on big data, the basic information and enterprise event information of the enterprise are decomposed, including: decomposing the basic information of the enterprise into enterprise geographic information, enterprise industrial and commercial information and business information, and storing them; decomposing the enterprise event information into enterprise announcement event information, and storing them.

[0011] Furthermore, in step 2 of the grid-based business demand mining method based on big data, grid division is performed according to the grid address and grid range defined by the user, or according to the longitude and latitude of the enterprise geographic information in the collected enterprise basic information.

[0012] Furthermore, in step 3 of the grid-based business demand mining method based on big data, the potential business demand information in each grid area is analyzed, including:

[0013] Determine the enterprises in the grid area: determine all the enterprises and related information within the grid area according to the longitude and latitude information of the enterprises;

[0014] Determine newly added enterprises: Determine the enterprises established in the past 7 days within the grid area based on the longitude and latitude of the enterprises and the registration time information;

[0015] Analyze regional business needs: Analyze enterprise needs based on enterprise latitude and longitude information and enterprise event information, and determine enterprise business opportunity information within the grid area;

[0016] Determine the business mining enterprise information: determine the enterprises with business mining potential in the grid area based on the enterprise latitude and longitude information, business demand mining list and enterprise business opportunity information;

[0017] Determine business opportunities for existing customers: Based on the company's latitude and longitude information, existing customers and business opportunity information, determine potential business opportunities for existing customers in the grid area.

[0018] Furthermore, step 4 of the grid-based business demand mining method based on big data performs business demand management, including:

[0019] Carry out corresponding enterprise management: add enterprises to the business demand mining list library, and support viewing, assigning, following up and recording enterprises in the list;

[0020] Assign enterprises: Assign enterprises to specific business demand mining personnel. The assigned personnel can view the basic information, event information and business opportunity information of the enterprise;

[0021] Follow up with enterprises: explore and follow up on the business needs of enterprises;

[0022] Keep enterprise records: record the progress of exploring the business needs of the enterprise.

[0023] The present invention also provides a grid-based business demand mining device based on big data, including a data acquisition and preprocessing module, a grid division module, a data analysis module and a management module.

[0024] The data collection and preprocessing module collects the basic information and enterprise event information of the enterprise, decomposes and stores the basic information and enterprise event information of the enterprise.

[0025] The grid division module divides the area within the user's business scope into grids to obtain each network area.

[0026] The data analysis module performs big data analysis and mining based on the basic information and event information of the enterprise: establishes a business opportunity event database corresponding to the enterprise based on the basic information and event information of the enterprise, mines the list database and the existing customer database in combination with the preset business needs, and analyzes the potential business demand information in each grid area.

[0027] The management module performs business demand management on enterprises and business opportunities within the grid area based on potential business demand information.

[0028] Furthermore, the data collection and preprocessing module of the grid-based business demand mining device based on big data decomposes the basic information and enterprise event information of the enterprise, including: decomposing the basic information of the enterprise into enterprise geographic information, enterprise industrial and commercial information and business information, and storing them; decomposing the enterprise event information into enterprise announcement event information, and storing them.

[0029] Furthermore, the grid division module of the big data-based grid business demand mining device performs grid division according to the grid address and grid range defined by the user, or performs grid division according to the longitude and latitude of the enterprise geographic information in the collected enterprise basic information.

[0030] Furthermore, the data analysis module of the big data-based grid-based business demand mining device analyzes potential business demand information in each grid area, including:

[0031] Determine the enterprises in the grid area: determine all the enterprises and related information within the grid area according to the longitude and latitude information of the enterprises;

[0032] Determine newly added enterprises: Determine the enterprises established in the past 7 days within the grid area based on the longitude and latitude of the enterprises and the registration time information;

[0033] Analyze regional business needs: Analyze enterprise needs based on enterprise latitude and longitude information and enterprise event information, and determine enterprise business opportunity information within the grid area;

[0034] Determine the business mining enterprise information: determine the enterprises with business mining potential in the grid area based on the enterprise latitude and longitude information, business demand mining list and enterprise business opportunity information;

[0035] Determine business opportunities for existing customers: Based on the company's latitude and longitude information, existing customers and business opportunity information, determine potential business opportunities for existing customers in the grid area.

[0036] Furthermore, the management module of the big data-based grid-based business demand mining device performs business demand management, including:

[0037] Carry out corresponding enterprise management: add enterprises to the business demand mining list library, and support viewing, assigning, following up and recording enterprises in the list;

[0038] Assign enterprises: Assign enterprises to specific business demand mining personnel. The assigned personnel can view the basic information, event information and business opportunity information of the enterprise;

[0039] Follow up with enterprises: explore and follow up on the business needs of enterprises;

[0040] Keep enterprise records: record the progress of exploring the business needs of the enterprise.

[0041] The benefits of the method of the present invention are:

[0042] Analyze the business needs of enterprises based on their basic information and business opportunity information to explore their value, ensuring the effectiveness of enterprise evaluation from the data source. It reveals the potential business opportunities of enterprises, and can judge the business needs of enterprises based on specific business opportunity information, thus improving marketing efficiency from the data level;

[0043] Grid-based marketing area processing makes it easier for users to carry out marketing activities, manage potential business needs in their area and explore opportunities. Users can divide the business scope into grids, select the center points and ranges of each grid, and customize the grid area for allocation, avoiding duplication of marketing scope and improving customer management efficiency within the marketing scope.

[0044] According to the longitude and latitude information of the enterprises, the enterprises included in the grid range are analyzed; and based on the business opportunity information of the enterprises obtained through collection and analysis, indicators of the potential marketing value of the enterprises are provided to help users accurately locate high-value potential customers, find opportunities to visit customers, and reach customers more efficiently.

[0045] By dividing the grid, analyzing customer value, accurately positioning customers, and recording progress, the business demand mining process within the grid is managed throughout the entire process. It is easy to distinguish potential customers to be marketed, existing customers that have been marketed, and invalid customers within the grid, efficiently manage all customers within each grid, fully explore the needs of all companies within the business scope, ensure the feasibility and success rate of marketing from all aspects, and efficiently complete marketing tasks such as corporate reach. BRIEF DESCRIPTION OF THE DRAWINGS

[0046] Figure 1 It is a schematic flow chart of the method of the present invention.

[0047] Figure 2 It is a schematic diagram of the enterprise grid data collection and analysis process involved in the method of the present invention. DETAILED DESCRIPTION

[0048] The present invention is further described below in conjunction with the accompanying drawings and specific embodiments so that those skilled in the art can better understand the present invention and implement it, but the embodiments are not intended to limit the present invention.

[0049] Example 1

[0050] The present invention provides a grid-based business demand mining method based on big data, comprising:

[0051] Step 1: Support access to multiple data sources simultaneously, collect basic information and enterprise event information of enterprises, decompose and store the basic information and enterprise event information of enterprises.

[0052] The decomposition of the basic information and enterprise event information of the enterprise in step 1 may further include: decomposing the basic information of the enterprise into enterprise geographic information, enterprise industrial and commercial information and business information, and storing them; decomposing the enterprise event information into enterprise announcement event information, and storing them.

[0053] Step 2: Grid the area within the user's business scope to obtain various network areas. Grid division can be performed based on the user-defined grid address and grid range, or based on the longitude and latitude of the enterprise's geographic information in the collected basic information of the enterprise. The enterprise and related information in the grid can be further obtained based on the collected longitude and latitude of the enterprise, and the related information can be stored and saved as the corresponding grid plan, so that the user can manage the marketing grid area.

[0054] Step 3: Conduct big data analysis and mining based on basic enterprise information and enterprise event information: Establish a business opportunity event database corresponding to the enterprise based on basic enterprise information and enterprise event information, and mine the list database and existing customer database in combination with preset business needs to analyze potential business demand information in each grid area.

[0055] The analysis of potential business demand information in each grid area in step 3 may further include:

[0056] Determine the enterprises in the grid area: determine all the enterprises and related information within the grid area according to the longitude and latitude information of the enterprises;

[0057] Determine newly added enterprises: Determine the enterprises established in the past 7 days within the grid area based on the longitude and latitude of the enterprises and the registration time information;

[0058] Analyze regional business needs: Analyze enterprise needs based on enterprise latitude and longitude information and enterprise event information, and determine enterprise business opportunity information within the grid area;

[0059] Determine the business mining enterprise information: determine the enterprises with business mining potential in the grid area based on the enterprise latitude and longitude information, business demand mining list and enterprise business opportunity information;

[0060] Determine business opportunities for existing customers: Based on the company's latitude and longitude information, existing customers and business opportunity information, determine potential business opportunities for existing customers in the grid area.

[0061] Step 4: Based on potential business demand information, conduct business demand management for enterprises and business opportunities within the grid area.

[0062] Step 4 is to manage business requirements, which may further include:

[0063] Carry out corresponding enterprise management: add enterprises to the business demand mining list library, and support viewing, assigning, following up and recording enterprises in the list;

[0064] Assign enterprises: Assign enterprises to specific business demand mining personnel. The assigned personnel can view the basic information, event information and business opportunity information of the enterprise;

[0065] Follow up with enterprises: explore and follow up on the business needs of enterprises;

[0066] Keep enterprise records: record the progress of exploring the business needs of the enterprise.

[0067] The method of the present invention realizes the accurate positioning of target customers when facing a large number of customer resources, which is conducive to personalized marketing. Specifically, the method of the present invention provides users with potential target customers within the grid range for business development at the lowest cost, fastest speed and best quality, helps users manage potential customers and existing customers within the grid, and associates customers with business opportunities. While accurately positioning target customers, personalized marketing can be carried out for target customers based on business opportunity events.

[0068] Example 2

[0069] The present invention also provides a grid-based business demand mining device based on big data, including a data acquisition and preprocessing module, a grid division module, a data analysis module and a management module.

[0070] The data collection and preprocessing module collects the basic information and enterprise event information of the enterprise, decomposes and stores the basic information and enterprise event information of the enterprise.

[0071] The grid division module divides the area within the user's business scope into grids to obtain each network area.

[0072] The data analysis module performs big data analysis and mining based on the basic information and event information of the enterprise: establishes a business opportunity event database corresponding to the enterprise based on the basic information and event information of the enterprise, mines the list database and the existing customer database in combination with the preset business needs, and analyzes the potential business demand information in each grid area.

[0073] The management module performs business demand management on enterprises and business opportunities within the grid area based on potential business demand information.

[0074] As the information interaction and execution process between the modules in the above-mentioned device are based on the same concept as the embodiment of the method of the present invention, the specific contents can be found in the description of the embodiment of the method of the present invention and will not be repeated here.

[0075] Likewise, the benefits of the device of the present invention are:

[0076] Analyze the business needs of enterprises based on their basic information and business opportunity information to explore their value, ensuring the effectiveness of enterprise evaluation from the data source. It reveals the potential business opportunities of enterprises, and can judge the business needs of enterprises based on specific business opportunity information, thus improving marketing efficiency from the data level;

[0077] Grid-based marketing area processing makes it easier for users to carry out marketing activities, manage potential business needs in their area and explore opportunities. Users can divide the business scope into grids, select the center points and ranges of each grid, and customize the grid area for allocation, avoiding duplication of marketing scope and improving customer management efficiency within the marketing scope.

[0078] According to the longitude and latitude information of the enterprises, the enterprises included in the grid range are analyzed; and based on the business opportunity information of the enterprises obtained through collection and analysis, indicators of the potential marketing value of the enterprises are provided to help users accurately locate high-value potential customers, find opportunities to visit customers, and reach customers more efficiently.

[0079] By dividing the grid, analyzing customer value, accurately positioning customers, and recording progress, the business demand mining process within the grid is managed throughout the entire process. It is easy to distinguish potential customers to be marketed, existing customers that have been marketed, and invalid customers within the grid, efficiently manage all customers within each grid, fully explore the needs of all companies within the business scope, ensure the feasibility and success rate of marketing from all aspects, and efficiently complete marketing tasks such as corporate reach.

[0080] It should be noted that not all steps and modules in the above-mentioned processes and device structures are necessary, and some steps or modules can be ignored according to actual needs. The execution order of each step is not fixed and can be adjusted as needed. The system structure described in the above-mentioned embodiments can be a physical structure or a logical structure, that is, some modules may be implemented by the same physical entity, or some modules may be implemented by multiple physical entities, or some components in multiple independent devices may be implemented together.

[0081] The above-described embodiments are only preferred embodiments for fully illustrating the present invention, and the protection scope of the present invention is not limited thereto. Equivalent substitutions or changes made by those skilled in the art based on the present invention are within the protection scope of the present invention. The protection scope of the present invention shall be subject to the claims.

Claims

1. A grid-based business demand mining method based on big data, Its characteristics are include: Step 1: Collect basic information and enterprise event information of the enterprise, decompose and store the basic information and enterprise event information of the enterprise, Step 2: Divide the area within the user's business scope into grids to obtain each network area. Step 3: Perform big data analysis and mining based on basic enterprise information and enterprise event information: Establish a business opportunity event database corresponding to the enterprise based on basic enterprise information and enterprise event information, and mine the list database and existing customer database in combination with preset business needs to analyze the potential business demand information in each grid area. Step 4: Based on potential business demand information, conduct business demand management for enterprises and business opportunities within the grid area.

2. According to the big data-based grid-based business demand mining method of claim 1, Its characteristics are In step 1, the basic information and enterprise event information of the enterprise are decomposed, including: decomposing the basic information of the enterprise into enterprise geographic information, enterprise industrial and commercial information and business information, and storing them; decomposing the enterprise event information into enterprise announcement event information, and storing them.

3. According to the big data-based grid-based business demand mining method of claim 1, Its characteristics are In step 2, grid division is performed according to the grid address and grid range defined by the user, or according to the longitude and latitude of the enterprise geographic information in the collected enterprise basic information.

4. A grid-based business demand mining method based on big data according to claim 1 ， The characteristic is that the potential business demand information in each grid area is analyzed in step 3, including: Determine the enterprises in the grid area: determine all the enterprises and related information within the grid area according to the longitude and latitude information of the enterprises; Determine newly added enterprises: Determine the enterprises established in the past 7 days within the grid area based on the longitude and latitude of the enterprises and the registration time information; Analyze regional business needs: Analyze enterprise needs based on enterprise latitude and longitude information and enterprise event information, and determine enterprise business opportunity information within the grid area; Determine the business mining enterprise information: determine the enterprises with business mining potential in the grid area based on the enterprise latitude and longitude information, business demand mining list and enterprise business opportunity information; Determine business opportunities for existing customers: Based on the company's latitude and longitude information, existing customers and business opportunity information, determine potential business opportunities for existing customers in the grid area.

5. According to the big data-based grid-based business demand mining method of claim 1, Its characteristics are Step 4 is to manage business requirements, including: Carry out corresponding enterprise management: add enterprises to the business demand mining list library, and support viewing, assigning, following up and recording enterprises in the list; Assign enterprises: Assign enterprises to specific business demand mining personnel. The assigned personnel can view the basic information, event information and business opportunity information of the enterprise; Follow up with enterprises: explore and follow up on the business needs of enterprises; Keep enterprise records: record the progress of exploring the business needs of the enterprise.

6. A grid-based business demand mining device based on big data, Its characteristics are It includes data acquisition and preprocessing module, grid division module, data analysis module and management module. The data collection and preprocessing module collects the basic information and enterprise event information of the enterprise, decomposes and stores the basic information and enterprise event information of the enterprise. The grid division module divides the area within the user's business scope into grids to obtain each network area. The data analysis module performs big data analysis and mining based on the basic information and event information of the enterprise: establishes a business opportunity event database corresponding to the enterprise based on the basic information and event information of the enterprise, mines the list database and the existing customer database in combination with the preset business needs, and analyzes the potential business demand information in each grid area. The management module performs business demand management on enterprises and business opportunities within the grid area based on potential business demand information.

7. A grid-based business demand mining device based on big data according to claim 6, Its characteristics are The data collection and preprocessing module decomposes the basic information and enterprise event information of the enterprise, including: decomposing the basic information of the enterprise into enterprise geographic information, enterprise industrial and commercial information and business information, and storing them; decomposing the enterprise event information into enterprise announcement event information, and storing them.

8. The grid-based business demand mining device based on big data according to claim 6, Its characteristics are The grid division module performs grid division according to the grid address and grid range defined by the user, or performs grid division according to the longitude and latitude of the enterprise geographic information in the collected enterprise basic information.

9. The grid-based business demand mining device based on big data according to claim 6, Its characteristic is data The analysis module analyzes the potential business demand information in each grid area, including: Determine the enterprises in the grid area: determine all the enterprises and related information within the grid area according to the longitude and latitude information of the enterprises; Determine newly added enterprises: Determine the enterprises established in the past 7 days within the grid area based on the longitude and latitude of the enterprises and the registration time information; Analyze regional business needs: Analyze enterprise needs based on enterprise latitude and longitude information and enterprise event information, and determine enterprise business opportunity information within the grid area; Determine the business mining enterprise information: determine the enterprises with business mining potential in the grid area based on the enterprise latitude and longitude information, business demand mining list and enterprise business opportunity information; Determine business opportunities for existing customers: Based on the company's latitude and longitude information, existing customers and business opportunity information, determine potential business opportunities for existing customers in the grid area.

10. The grid-based business demand mining device based on big data according to claim 6, Its characteristics are The management module manages business needs, including: Carry out corresponding enterprise management: add enterprises to the business demand mining list library, and support viewing, assigning, following up and recording enterprises in the list; Assign enterprises: Assign enterprises to specific business demand mining personnel. The assigned personnel can view the basic information, event information and business opportunity information of the enterprise; Follow up with enterprises: explore and follow up on the business needs of enterprises; Keep enterprise records: record the progress of exploring the business needs of the enterprise.

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