Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Method and system for evaluating enterprise customer

A technology for enterprise customers and customers, applied in the field of big data processing, can solve the problems of large time cost and large influence of subjective factors, and achieve the effect of shortening time and improving market competitiveness.

Inactive Publication Date: 2017-09-01
GUANGDONG KINGPOINT DATA SCI & TECH CO LTD
View PDF5 Cites 1 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] At present, manually determining the customer group of a product takes a lot of time and is greatly affected by subjective factors

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Method and system for evaluating enterprise customer
  • Method and system for evaluating enterprise customer

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0025] The present invention will be described in further detail below by means of specific embodiments:

[0026] The embodiment is basically as attached figure 1 Shown:

[0027] The present invention will be further described in detail below, and those skilled in the art can easily understand other advantages and effects of the present invention from the content disclosed in this specification.

[0028] The invention is applicable to numerous general purpose and special purpose computing system environments or configurations. Examples: personal computers, handheld or portable devices, tablet-type devices, etc.

[0029] The method for evaluating enterprise customers in the present invention specifically includes the following steps (see attached figure 1 ):

[0030] Step 1: Obtain customer data information regularly, and the data object collection contains multiple classes.

[0031] Preferably, the data information may include the customer's various financial index data, ...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

The invention discloses a big-data processing technology, and particularly relates to a method and a system for evaluating an enterprise customer. The method comprises the following steps that obtaining the data information of a customer, wherein the data information comprises multiple categories of data objects; for each the data object of the category which needs to be clustered, setting n types of description, and setting the threshold value [Lambda] of each category; judging whether the obtained n types of description customer data objects exceed a corresponding threshold value [Lambda], if a result shows that the n types of description customer data objects exceed the corresponding threshold value [Lambda], extracting intact information data corresponding to the category in the customer data information, setting n categories of rating rules for the information data, and carrying out evaluation ranking on all customers according to the cluster analysis result of each category of description; if the result shows that the n types of description customer data objects do not exceed the corresponding threshold value [Lambda], putting into a standby customer database; and for the customers of which the levels rank top in the ranking of each category of description, carrying out data extraction, and putting into an available customer database. By use of the method, the customer can be efficiently and objectively analyzed and evaluated.

Description

technical field [0001] The invention relates to the technical field of big data processing, in particular to a method and system for evaluating enterprise customer data. Background technique [0002] In recent years, with the rapid development of the economy, enterprises need to obtain all kinds of customer information more conveniently and quickly in order to obtain valuable analysis results for the enterprise, so the amount of data generated is also increasing. [0003] Clustering analysis is an important algorithm for analyzing data in the field of data mining. Clustering algorithms can classify some observed objects according to certain characteristics, and divide data into multiple categories. [0004] When developing or purchasing commodities and selling products, enterprises need to fully understand industry trends, various information of customers and possible business risks in order to maintain good operations. Therefore, it is very necessary to fully grasp and ana...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/30G06Q10/06
CPCG06F16/285G06F2216/03G06Q10/06313G06Q10/06315
Inventor 许飞月陶波陈乐焱
Owner GUANGDONG KINGPOINT DATA SCI & TECH CO LTD
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic, Popular Technical Reports.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com