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Product Overview

The PERCENT's intelligent fusion big data analysis platform (DeepFinder) is a set of knowledge management, analysis, judgment and early warning platform based on dynamic knowledge graph technology, which supports tera-scale data volume, and realizes multiple functions of data fusion, knowledge construction, algorithm mining, correlation analysis, control and early warning. It can quickly dig out useful information and clues from data, and help users realize "one-click analysis" while giving early warning in time, improving work efficiency and assisting in scientific decision making.


Application Scenario

Facing the tobacco inspection department, through the fusion of clue data such as visits, customer data and complaints, it establishes a risk monitoring model to realize active early warning and help crack down on violations of Law on Monopoly of Tabacoo such as manufacturing and selling counterfeit cigarettes.

Facing the credit risk control department of commercial banks, it integrates data such as loan applications and fund transfers, identifies loan frauds through the anti-fraud rule system before lending, and improves the collection effect through restoring loss of communication after lending; facing the insurance industry, it is used to fight against frauds and crack down on insurance frauds.

Facing criminal investigation, economic investigation, Internet security, drug control, public security and other business police, it provides users with analysis tools for cracking down on online gambling, telecom frauds, drug trafficking, money laundering, pyramid selling, and other crimes and presents the clues such as the suspects' social relations, law of committing crimes, geographical location, and time distribution in a visual manner; facing technology support activities, it can quickly integrate, fuse and extract all public security data, convert data to knowledge graphs, build a tactical model platform, and provide platform support for custom models of various business police classifications.

Tobacco
Finance

Facing the tobacco inspection department, through the fusion of clue data such as visits, customer data and complaints, it establishes a risk monitoring model to realize active early warning and help crack down on violations of Law on Monopoly of Tabacoo such as manufacturing and selling counterfeit cigarettes.

Facing the credit risk control department of commercial banks, it integrates data such as loan applications and fund transfers, identifies loan frauds through the anti-fraud rule system before lending, and improves the collection effect through restoring loss of communication after lending; facing the insurance industry, it is used to fight against frauds and crack down on insurance frauds.

Public security

Facing criminal investigation, economic investigation, Internet security, drug control, public security and other business police, it provides users with analysis tools for cracking down on online gambling, telecom frauds, drug trafficking, money laundering, pyramid selling, and other crimes and presents the clues such as the suspects' social relations, law of committing crimes, geographical location, and time distribution in a visual manner; facing technology support activities, it can quickly integrate, fuse and extract all public security data, convert data to knowledge graphs, build a tactical model platform, and provide platform support for custom models of various business police classifications.

Product Advantages

Excellent computing performance

It has stable data computing capability in response to tera-scale ultra-large-scale data volume. In terms of storage, the platform compression ratio can reach 5:1; in terms of query, a single mainstream server can scan 1 billion data in 15 seconds.


Model tactics close to actual combat

This system has been internally installed with many sets of tactics summarized by police officers in actual combats across the country, which can realize the functions of one-key mining of following relationship, direct relationship and mutual relationship, and help the police customers to innovate on the basis of inheriting advanced experience of the police in all places, and quickly build a model application system that meets the needs of different business scenarios.

Integration analysis and collaborative analysis

Compared with the traditional platform, this system, based on dynamic knowledge graph, realizes multidimensional integration and pull-through from data to function, which greatly improves the usage convenience, and supports different users to edit and analyze knowledge in a collaborative manner, thus realizing the one-stop knowledge management, analysis and judgment.

Agile data management

It supports the integration of structured, semi-structured and unstructured mass data, and gives considerations to the instantaneity and flexibility of data analysis on the basis of scalable data scale, realizing massive batch processing and high-speed stream processing, and the changes of data sources will be timely reflected in the knowledge level after integration.

Excellent computing performance

It has stable data computing capability in response to tera-scale ultra-large-scale data volume. In terms of storage, the platform compression ratio can reach 5:1; in terms of query, a single mainstream server can scan 1 billion data in 15 seconds.


Model tactics close to actual combat

This system has been internally installed with many sets of tactics summarized by police officers in actual combats across the country, which can realize the functions of one-key mining of following relationship, direct relationship and mutual relationship, and help the police customers to innovate on the basis of inheriting advanced experience of the police in all places, and quickly build a model application system that meets the needs of different business scenarios.

Integration analysis and collaborative analysis

Compared with the traditional platform, this system, based on dynamic knowledge graph, realizes multidimensional integration and pull-through from data to function, which greatly improves the usage convenience, and supports different users to edit and analyze knowledge in a collaborative manner, thus realizing the one-stop knowledge management, analysis and judgment.

Agile data management

It supports the integration of structured, semi-structured and unstructured mass data, and gives considerations to the instantaneity and flexibility of data analysis on the basis of scalable data scale, realizing massive batch processing and high-speed stream processing, and the changes of data sources will be timely reflected in the knowledge level after integration.

Excellent computing performance

It has stable data computing capability in response to tera-scale ultra-large-scale data volume. In terms of storage, the platform compression ratio can reach 5:1; in terms of query, a single mainstream server can scan 1 billion data in 15 seconds.


Model tactics close to actual combat

This system has been internally installed with many sets of tactics summarized by police officers in actual combats across the country, which can realize the functions of one-key mining of following relationship, direct relationship and mutual relationship, and help the police customers to innovate on the basis of inheriting advanced experience of the police in all places, and quickly build a model application system that meets the needs of different business scenarios.

Integration analysis and collaborative analysis

Compared with the traditional platform, this system, based on dynamic knowledge graph, realizes multidimensional integration and pull-through from data to function, which greatly improves the usage convenience, and supports different users to edit and analyze knowledge in a collaborative manner, thus realizing the one-stop knowledge management, analysis and judgment.

Agile data management

It supports the integration of structured, semi-structured and unstructured mass data, and gives considerations to the instantaneity and flexibility of data analysis on the basis of scalable data scale, realizing massive batch processing and high-speed stream processing, and the changes of data sources will be timely reflected in the knowledge level after integration.

Product Functions

Fusion dynamic control

Based on the dynamic knowledge graph, it carries out real-time access, fusion and pull-through of various trajectory information, to realize multidimensional analysis and intelligent control of key targets such as people, vehicles and objects. Through multi-mode comparison and early warning analysis, it gives real-time early warning, and informs the business personnel of the early warning information in time, so as to really guarantee "early warning, knowing trajectory, grasping direction, and full-process control".

Analysis and judgment platform

With respect to existing clues, it provides multidimensional analysis functions such as joint search, event query, holographic archives, correlation analysis and trajectory analysis, supports the retrieval and analysis of texts and pictures, and responds to information search in seconds, which can quickly realize the analysis and judgment of clues and present the full view of clues, including personnel file information, personnel behavior trajectory, social relations, fund flow, and public opinion propagation situation.

Tactical model platform

Focusing on analysis types and business processes of different industries, it gathers practical application models from various industries, and supports the functions such as model development, model analysis, user-defined algorithm, intelligent model recommendation, task management, etc., provides users with a low threshold, flexible and easy-to-use model application experience, supports intelligent data analysis in different scenarios, and helps users to deeply dig potential relationships and quickly find high-value clues.

Dynamic knowledge graph

It accesses to various structured and unstructured data in a visual manner, transforms all data into entities, events, documents and other forms according to the dimensions such as people, places, events, objects, organizations and virtual identities through dynamic data fusion and knowledge extraction, and builds various mapping relationships, thus forming a dynamically updatable industry knowledge graph, transforming data into intuitive and readable business knowledge, and providing data basis for model calculation, analysis and judgment, and dynamic control.

Product Functions

Fusion dynamic control

Based on the dynamic knowledge graph, it carries out real-time access, fusion and pull-through of various trajectory information, to realize multidimensional analysis and intelligent control of key targets such as people, vehicles and objects. Through multi-mode comparison and early warning analysis, it gives real-time early warning, and informs the business personnel of the early warning information in time, so as to really guarantee "early warning, knowing trajectory, grasping direction, and full-process control".

Analysis and judgment platform

With respect to existing clues, it provides multidimensional analysis functions such as joint search, event query, holographic archives, correlation analysis and trajectory analysis, supports the retrieval and analysis of texts and pictures, and responds to information search in seconds, which can quickly realize the analysis and judgment of clues and present the full view of clues, including personnel file information, personnel behavior trajectory, social relations, fund flow, and public opinion propagation situation.

Tactical model platform

Focusing on analysis types and business processes of different industries, it gathers practical application models from various industries, and supports the functions such as model development, model analysis, user-defined algorithm, intelligent model recommendation, task management, etc., provides users with a low threshold, flexible and easy-to-use model application experience, supports intelligent data analysis in different scenarios, and helps users to deeply dig potential relationships and quickly find high-value clues.

Dynamic knowledge graph

It accesses to various structured and unstructured data in a visual manner, transforms all data into entities, events, documents and other forms according to the dimensions such as people, places, events, objects, organizations and virtual identities through dynamic data fusion and knowledge extraction, and builds various mapping relationships, thus forming a dynamically updatable industry knowledge graph, transforming data into intuitive and readable business knowledge, and providing data basis for model calculation, analysis and judgment, and dynamic control.

Product Functions

Fusion dynamic control

Based on the dynamic knowledge graph, it carries out real-time access, fusion and pull-through of various trajectory information, to realize multidimensional analysis and intelligent control of key targets such as people, vehicles and objects. Through multi-mode comparison and early warning analysis, it gives real-time early warning, and informs the business personnel of the early warning information in time, so as to really guarantee "early warning, knowing trajectory, grasping direction, and full-process control".

Analysis and judgment platform

With respect to existing clues, it provides multidimensional analysis functions such as joint search, event query, holographic archives, correlation analysis and trajectory analysis, supports the retrieval and analysis of texts and pictures, and responds to information search in seconds, which can quickly realize the analysis and judgment of clues and present the full view of clues, including personnel file information, personnel behavior trajectory, social relations, fund flow, and public opinion propagation situation.

Tactical model platform

Focusing on analysis types and business processes of different industries, it gathers practical application models from various industries, and supports the functions such as model development, model analysis, user-defined algorithm, intelligent model recommendation, task management, etc., provides users with a low threshold, flexible and easy-to-use model application experience, supports intelligent data analysis in different scenarios, and helps users to deeply dig potential relationships and quickly find high-value clues.

Dynamic knowledge graph

It accesses to various structured and unstructured data in a visual manner, transforms all data into entities, events, documents and other forms according to the dimensions such as people, places, events, objects, organizations and virtual identities through dynamic data fusion and knowledge extraction, and builds various mapping relationships, thus forming a dynamically updatable industry knowledge graph, transforming data into intuitive and readable business knowledge, and providing data basis for model calculation, analysis and judgment, and dynamic control.

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