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BBD HIGGS CREDIT

Higgs Report——Corporate credit report for the era of big data in finance

Corporate credit report for the era of big data in finance

The Higgs Report can effectively overcome limitations in data collection and processing during pre-loan investigations and mid-loan appraisal. Based on a substantial volume of up-to-the-minute data and professional analytic technology, enterprise credit status report that is direct, comprehensive and real-time is provided to help augment efficiency in credit and loan decision-making process by efficiently identifying various credit risks: fraud, unknown associated parties, potential litigations, borrowing from multiple sources and other hidden dangers.

Direct, comprehensive and real-time identification of various credit risks to help

augment efficiency in credit and loan decision-making process

Aladdin Score——a scoring system based on the risk conduction of related parties

a scoring system based on the risk conduction of related parties

Based on five dimensions of corporate information, scientific algorithms and a "birds of a feather flock together" risk transmission principal, the target enterprise's probability in contract violation can be predicted objectively and formulate an authentic credit profile of the company.

Credit behavio

the enterprise's past credit behaviors, including good and poor credit behaviors

Affiliated relationship

the enterprise's relationships with counterparties in its economic activities

Active level

the enterprise's level of activeness during operation

Corporate features

the enterprise's key features, including basic info of the enterprise

Behavioral preferences

the enterprise's preferences in operation, investment and financing activities

Credit behavio

the enterprise's past credit behaviors, including good and poor credit behaviors

Affiliated relationshi

Affiliated relationship the enterprise's relationships with counterparties in its economic activities

Active level

the enterprise's level of activeness during operation

Corporate features

the enterprise's key features, including basic info of the enterprise

Behavioral preferences

the enterprise's preferences in operation, investment and financing activities

Through the in-depth analysis and interpretations of our model, a user-friendly credit score can be used to predict the target enterprise's probability in contract violation in the future, enabling individuals/organizations to quickly proceed with the credit decision-making process. Between the scoring range of 0-1000, different echelons are used in portraying and describing the target enterprise's credit level.

Based on affiliated relationships and anti-fraud score of affiliated contract violation, and originated from the principal of "birds of a feather flock together"

Higgs Monitor——Real-time notification of risk information, full-spectrum credit and loan customer management

Real-time notification of risk information, full-spectrum credit and loan customer management

"Heavy in pre-loan procedures and light in post-loan procedures" is commonplace in credit and loan businesses. In order to mitigate this issue, improve post-loan management efficiency and alleviate risks due to bad loans, the Higgs Monitor offers you a comprehensive supervision mechanism that accurately monitors the target enterprise's changes in various dimensions including operation, litigation and public sentiment around the clock and in real-time,

Risk changes, updated anytime

Risk supervision, nothing overlooked

Information changes, clear and straightforward

Multi-source loans, effective identification

Risk changes, updated anytime

Risk supervision, nothing overlooked

Information changes, clear and straightforwar

Multi-source loans, effective identification

Three steps in obtaining customized risk info notification service

Higgs Pivotviewer——Outlining enterprise profile with data behaviors and financial mindset

Outlining enterprise profile with data behaviors and financial mindset

The Higgs Pivotviewer relies on a complete range of industry, commerce, litigation, qualification, finance, social network, operation, sector, asset and other relevant data. A complex network relation algorithm is employed to construct a multi-dimensional corporate relationship map, and methods such as relationship filtering, relationship operation, indicator location are applied to rapidly and accurately seek out traces in risks associated with the target enterprise, so as to effectively reflect the enterprise's actual behaviors and provide assistance to relevant business decisions.

Data from multiple dimensions

industry, commerce, litigation, qualification, finance, social network, operation, sector, asset and other relevant data from 2000+ sources

Enterprise model in multiple forms

from the three dimensions of corporate space, relationship and timeline, multiple levels of multiple methods are used to analyze, seek out enterprise risks and predict relevant future trends

Complex network relation algorithm

construct a multi-dimensional corporate relationship map that support relationship filtering and relationship mining

Data from multiple dimensions

industry, commerce, litigation, qualification, finance, social network, operation, sector, asset and other relevant data from 2000+ sources

Enterprise model in multiple forms

from the three dimensions of corporate space, relationship and timeline, multiple levels of multiple methods are used to analyze, seek out enterprise risks and predict relevant future trends

Complex network relation algorithm

construct a multi-dimensional corporate relationship map that support relationship filtering and relationship mining

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