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Improving Credit Data Accuracy: How can India’s Financial Institutions reduce errors?

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When it comes to managing your credit score, accurate data reporting is key. For financial institutions in India, providing correct and timely data to credit bureaus is not just a regulatory requirement but also a responsibility to ensure fairness for customers. Inaccuracies in credit reports can lead to major consequences, from denied loans to unfair interest rates for individuals and businesses alike. So how can financial institutions ensure that the data they report is reliable and error-free?

Invest in Automation:

Manual data entry is prone to errors. This is one of the biggest reasons financial institutions need to shift towards technology and automation. By automating data reporting processes, banks and lending institutions can significantly reduce human error. Systems that automatically pull relevant data from internal records and transmit it to credit bureaus ensure accuracy in data flow, minimizing misreporting.

Training:

Even with technology, there is still a need for human oversight. People responsible for managing and reporting credit data should be well-trained in data accuracy protocols. A lack of training or understanding can lead to simple errors, such as incorrect categorization of loans, overdue payments being marked inaccurately, or other mistakes that could damage a customer’s credit report and therefore credit score.

Institutions should provide periodic training sessions for their employees to ensure they understand the importance of data accuracy, how to avoid common mistakes, and how to properly use any automated systems in place.

Strengthen Collaboration with Credit Bureaus:

Effective communication between financial institutions and credit bureaus is more crucial than ever, especially with the introduction of the new 15-day credit data reporting rule mandated by the Reserve Bank of India (RBI). According to this regulation, banks and financial institutions are now required to report changes in a customer’s credit profile, such as loan repayments, credit card dues, or closures of credit facilities, within 15 days. This significant shift shortens the reporting window and aims to improve data accuracy in credit reports.

Banks and lending institutions must ensure that any changes, such as loan repayments or account closures, are reported to credit bureaus without delays. This will help prevent outdated or inaccurate data from lingering on a customer’s credit report for too long, which can lead to unfair lending decisions. On the other hand, if an individual is paying on time, it should reflect positively on his credit report. 

Prompt Error Resolution:

Mistakes happen, but the key is how quickly and effectively they are corrected. Financial institutions should have dedicated teams or processes for resolving credit data errors as soon as they are identified. The longer an error remains uncorrected, the more damage it can cause to a customer’s credit score. By implementing a system where customers and internal staff can report errors, and having a clear process for correcting them, institutions can minimize the negative impact of inaccurate credit data.

By streamlining processes and ensuring timely, accurate reporting, institutions can help customers maintain their credit health, ensuring that their credit scores truly reflect their financial behaviours.

This, in turn, contributes to a healthier lending ecosystem, where both lenders and borrowers benefit from accurate and transparent data. With these strategies in place, financial institutions can pave the way for a more reliable and efficient credit reporting system in India.

Authored by: Yashvi Shah

Associate @ Athena CredXpert