CIBIL Defaulters
**Overview:
**The CIBIL Defaulters dataset is an essential resource for assessing credit risks associated with individuals and entities that have defaulted on financial obligations. It plays a crucial role in identifying potential financial fraud, evaluating creditworthiness, and managing identity theft risks.
CIBIL Defaulters Official Source Data
| Attribute | Details |
|---|---|
| Full Form | Credit Information Bureau India Limited - Defaulters |
| Types of defaulter | -Defaulter: A defaulter is an individual or entity that fails to repay a loan |
| -Willful defaulter: A willful defaulter is someone who has the ability to pay but deliberately chooses not to repay their loans | |
| Departments Involved | Finance, Credit Risk Management |
| Key Risks Identified | Credit risks, financial fraud, identity theft |
| Focus Areas | Corporate registration details, Creditworthiness and debt repayment capacity, Potential credit fraud or identity theft issues |
| Source | CIBIL (https://suit.cibil.com) |
| Period Source | 2002 |
| Updation at Source | Monthly ( 31st of every month ) |
| Compliance Framework | Ensures adherence to credit risk management and financial fraud detection standards |
| Used As | Scores for dimension/parameter may vary if an exact match for an entity/individual/promoter is found. Scores are influenced by the case type (latest/old) and its status (resolved/unresolved) |
| Used For | Litigation history, Defaulter & Blacklist mentions, Promoter & Related Party quality |
Data Management and Maintenance
The CIBIL Defaulters dataset is updated monthly to provide the most current information regarding individuals and entities that have defaulted on payments. This ensures that organizations can effectively evaluate credit risks and manage potential identity verification issues.
Compliance and Regulatory Framework
The dataset complies with credit risk management standards and financial regulations, helping organizations maintain their obligations in identifying and managing defaulters. This supports a proactive approach to fraud detection and risk assessment in financial dealings.