信用评估

依托传统评分卡技术与业界领先的数据安全及机器学习建模技术等有机融合，对用户行为
进行评分。只需输入候选人姓名及身份证号，即可对其发展能力等进行全方位评估。
产品详情
•信息多维
基于用户在互联网金融平台的负债情况，如：申请、审批、还款、逾期等，为企业提供包
括一个300-850的评分和近50个与评分对应的字段标签，帮助金融机构精准的了解借款人
在银行体系外的申请及负债情况。
•算法领先
改善现阶段市场信用评估模型的精准度，基于包括公安、工商、司法、通讯、消费设备等
多维数据源，结合当前顶尖的算法和技术，建立更加可靠的用户评分模型。
应用场景
•风险评估
基于对用户信用状况、消费习惯、还款能力、设备使用以及信贷情况等数据的评估，多方
位量化企风险，有效提升风险预测能力。
•信贷风控
基于传统及互联网金融、信贷等行业对风控的巨大需求，用户的消费习惯、还款能力、设
备使用、信用状况以及历史信贷情况，可以有效助力企业判定申请人的信用风险，评估客
户还款能力。此类产品被广泛应用在传统及互联网金融平台的申请、审批、还款、逾期等
情况。
•降低运作成本
依托业界领先算法，对用户信用状况、消费习惯、还款能力、设备使用以及信贷情况进行
评估，全流程压缩传统及互联网信贷等行业的运作成本、辅助运行效能，如：对用户进行
差异化授信定额；筛选或分维度制定审批流程和策略；审核用户提额申请等。
覆盖体量
全国身份证持有用户全覆盖

This product scores user behaviors through the organic integration of traditional scoring card technology, industry-leading data security and machine learning modeling technologies. Simply input the candidate's name and ID number, and a comprehensive assessment of their development capabilities and other aspects can be conducted.

Product Details
- Multi-dimensional Information: Based on users' debt situations on internet financial platforms, including applications, approvals, repayments, overdue records and other scenarios, it provides enterprises with a score ranging from 300 to 850 and nearly 50 field tags corresponding to the score, helping financial institutions accurately understand borrowers' application and debt situations outside the banking system.
- Leading-edge Algorithms: It improves the accuracy of current market credit assessment models. By integrating multi-dimensional data sources including public security, industrial and commercial, judicial, communication, consumer equipment and other data, combined with cutting-edge algorithms and technologies, it builds a more reliable user scoring model.

Application Scenarios
- Risk Assessment: Based on the assessment of users' credit status, consumption habits, repayment ability, equipment usage, credit situation and other data, it quantifies enterprise risks in multiple dimensions and effectively improves risk prediction capabilities.
- Credit Risk Control: Based on the huge demand for risk control in traditional and internet finance, credit and other industries, users' consumption habits, repayment ability, equipment usage, credit status and historical credit situation can effectively help enterprises determine applicants' credit risks and evaluate customers' repayment capabilities. This product is widely used in scenarios such as application, approval, repayment and overdue records of traditional and internet financial platforms.
- Reducing Operating Costs: Relying on industry-leading algorithms, it assesses users' credit status, consumption habits, repayment ability, equipment usage and credit situation, compresses the operating costs of traditional and internet credit industries throughout the entire process and assists in improving operational efficiency. For example: granting differentiated credit quotas to users; screening or formulating approval processes and strategies by dimensions; reviewing users' credit limit increase applications and other scenarios.

Coverage Scale
Full coverage of ID card holders across the country.

搜集汇总

背景与挑战

背景概述

该数据集是一个全面的信用评估系统，结合多维数据源和领先算法，为用户提供300-850的信用评分及近50个相关标签。它广泛应用于风险评估和信贷风控，能有效预测风险并降低运作成本，覆盖全国所有身份证持有用户。