Bank’s Customer Data Redaction
Typically banks receive thousands of submissions that are copies of identity documents like Aadhar and PAN cards. Copies submitted are non-standardized, non-templatized, in A4 size paper sheets. Some of the largest banks in the country have been capturing data using Optical Character Recognition (OCR) technologies. RPA is then used to redact fields of data based on rules specified by the bank.
In 2019, the Reserve Bank of India (RBI) announced a guideline advising banks to redact data of customers who had closed their accounts. This guideline ensures customer data is protected from spurious intent. While banks are periodically audited to check for compliance, they are free to manually or use any technology to carry out the tasks.
Typically banks receive thousands of submissions that are copies of identity documents like Aadhar and PAN cards. Copies submitted are non-standardized, non-templatized, in A4 size paper sheets.
The AutomationEdge platform can take data in different formats, either as an attachment in an email or a web application or uploaded in the AutomationEdge portal.
Some of the largest banks in the country have been capturing data using Optical Character Recognition (OCR) technologies. RPA is then used to redact fields of data based on rules specified by the bank. Some banks choose to redact complete data, while others redact partial fields of data.
In 2019, the Reserve Bank of India (RBI) announced a guideline advising banks to redact data of customers who had closed their accounts. This guideline ensures customer data is protected from spurious intent. While banks are periodically audited to check for compliance, they are free to manually or use any technology to carry out the tasks.
Typically banks receive thousands of submissions that are copies of identity documents like Aadhar and PAN cards. Copies submitted are non-standardized, non-templatized, in A4 size paper sheets.
The AutomationEdge platform can take data in different formats, either as an attachment in an email or a web application or uploaded in the AutomationEdge portal.
Some of the largest banks in the country have been capturing data using Optical Character Recognition (OCR) technologies. RPA is then used to redact fields of data based on rules specified by the bank. Some banks choose to redact complete data, while others redact partial fields of data.
These may include the date of birth of the customer or four digits of the Aadhar card number or the QR code affixed on the Aadhar card. In the rare attempts when the robot fails due to the bad quality of the input image, the bot hands it over to a repair station where it can be redacted manually.
Banks cannot ignore the efficiency with which data is redacted. AutomationEdge Bot can redact 1,000s of images within minutes, which leaves any process manually executed far behind in terms of throughput. With a 95% rate of redaction, the combination of AI-powered RPA and OCR technologies has put banks firmly on a path of automation.
