• Pre-sales Consultant
  • 400-6240-800

Product Overview

Based on PERCENT UTT model, advanced feature mining technology and information visualization technology, PERCENT Intelligent Tags Management System can build entity images for users, products and channels and realize intelligent association. The system fully integrates multi-touch point data and whole channel data of enterprises, and supports upper layer data application, such as intelligent recommendation and precision marketing.

Product Functions

Comprehensive entity management

The system can build knowledge models and operate management for users, products, channels and other entities of enterprise and their relationships.

Intelligent tags generation

It contains abundant tags calculation models, and supports inference, relationship mining, entity extension and other kinds of analysis based on knowledge graph.

Permissioncontrol

Based on accurate permission control and flexible strategy configuration, the system supports distribution and management of function permission and data permission to ensure the safety of the enterprise data and the data controllability.

Data API Opening

Standardized API interface service realizes the opening of data ability and flexible application extension.

Product Functions

Comprehensive entity management

The system can build knowledge models and operate management for users, products, channels and other entities of enterprise and their relationships.

Intelligent tags generation

It contains abundant tags calculation models, and supports inference, relationship mining, entity extension and other kinds of analysis based on knowledge graph.

Permissioncontrol

Based on accurate permission control and flexible strategy configuration, the system supports distribution and management of function permission and data permission to ensure the safety of the enterprise data and the data controllability.

Data API Opening

Standardized API interface service realizes the opening of data ability and flexible application extension.

Product Functions

Comprehensive entity management

The system can build knowledge models and operate management for users, products, channels and other entities of enterprise and their relationships.

Intelligent tags generation

It contains abundant tags calculation models, and supports inference, relationship mining, entity extension and other kinds of analysis based on knowledge graph.

Permissioncontrol

Based on accurate permission control and flexible strategy configuration, the system supports distribution and management of function permission and data permission to ensure the safety of the enterprise data and the data controllability.

Data API Opening

Standardized API interface service realizes the opening of data ability and flexible application extension.

Product Advantages

Unique UTT model

The multiple dimension entity track record based on UTT (user-tag-time) model supports backtracking analysis, trend analysis and forecast of entity tags.

Intelligent entity analysis

It supports intelligent feature discovery, intelligent entity extension and other kinds of analysis, suitable for decision, operation, marketing and other scenarios to make fast connection with enterprise application. 


Visualized tags production

The system can realize generation or adjustment of tags by visualized operation, and quickly respond to requirements for business.

Abundant industry experience

Based on the experience of thousands of industry cases, the system can build and preset the tags knowledge system targeting multiple industries, to seamlessly connect to business application.

Unique UTT model

The multiple dimension entity track record based on UTT (user-tag-time) model supports backtracking analysis, trend analysis and forecast of entity tags.

Intelligent entity analysis

It supports intelligent feature discovery, intelligent entity extension and other kinds of analysis, suitable for decision, operation, marketing and other scenarios to make fast connection with enterprise application. 


Visualized tags production

The system can realize generation or adjustment of tags by visualized operation, and quickly respond to requirements for business.

Abundant industry experience

Based on the experience of thousands of industry cases, the system can build and preset the tags knowledge system targeting multiple industries, to seamlessly connect to business application.

Unique UTT model

The multiple dimension entity track record based on UTT (user-tag-time) model supports backtracking analysis, trend analysis and forecast of entity tags.

Intelligent entity analysis

It supports intelligent feature discovery, intelligent entity extension and other kinds of analysis, suitable for decision, operation, marketing and other scenarios to make fast connection with enterprise application. 


Visualized tags production

The system can realize generation or adjustment of tags by visualized operation, and quickly respond to requirements for business.

Abundant industry experience

Based on the experience of thousands of industry cases, the system can build and preset the tags knowledge system targeting multiple industries, to seamlessly connect to business application.

Application Scenario

Through compilation of users’’ data, the system has the ability to drive business development through data, extract users’’ features and make accurate prediction. It builds a big data operation system with users as the core to support multiple scenario application to assist users in designing and launching financial products for targeted customers to promote retention, conversion and performance growth.  

Through the semantic abstraction of manuscript/article, tags of manuscript/article are generated. The system supports searching and recommendation function based on tags.


The system combines business requirement and integrates the member data, visitor data and brand data to explore the commercial value of the data to realize precision marketing, raise users’ purchasing rate and reduce churnrate of users. 

The system integrates the internal and external data of enterprises to build portraits of users and commodities. During the product and service marketing, it can accurately master the users’’ requirement and quickly realize commercialization of users’ demands.


Financial industry
Media publishing

Through compilation of users’’ data, the system has the ability to drive business development through data, extract users’’ features and make accurate prediction. It builds a big data operation system with users as the core to support multiple scenario application to assist users in designing and launching financial products for targeted customers to promote retention, conversion and performance growth.  

Through the semantic abstraction of manuscript/article, tags of manuscript/article are generated. The system supports searching and recommendation function based on tags.


Traditional retail industry
E-commerce

The system combines business requirement and integrates the member data, visitor data and brand data to explore the commercial value of the data to realize precision marketing, raise users’ purchasing rate and reduce churnrate of users. 

The system integrates the internal and external data of enterprises to build portraits of users and commodities. During the product and service marketing, it can accurately master the users’’ requirement and quickly realize commercialization of users’ demands.


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