How is storage of data done and how is its integrity ensured throughout the loan lifecycle?
Srivastava says the system has strong access controls. Data inputting is based on maker/checker concept while documents are stored in PDF format. "Access control ensures that the integrity of data is maintained all throughout the loan life cycle," he adds.
Arivazhagan too says in the HDFC system there is a very tight hierarchy-based access controls. The system is also protected through the usual firewalls and anti-virus systems. The customers are given user IDs and passwords to access the system.
"The data is basically in PDF files. However, I must say that compared to banks or mutual funds, our transactions are not huge. It could be just IS transactions at the maximum per account. Hence storage is not a major issue for us," he says.
Kalia says the system the bank has opted for uses SQL data base and security features of SQL database are used to ensure data integrity.
Union Bank of India is using a scoring system based on credit scores evolved by credit information agencies. "We also give
~>----LOS offers interface with USDA system
Associated Software Consultants (ASC) PowerLender loan origination software (LOS) has been updated to offer lenders the ability to upload loan files to the US department of agriculture's (USDA) Guaranteed Underwriting System (GUS). PowerLender successfully completed a series of compatibility tests for submitting files to the USDA's GUS using both the MISMO AUS 2.3.1 .xml format, as well as the Fannie Mae DU/ DU3.2 format. The USDA Rural Development Program, which offers loans that do not require a down payment or private mortgage insurance, traditionally offered loans for low- and very-low-income homeowners.
inputs to these agencies as well as the RBI as per mandatory requirements. The reports are generated by the system and there is no manual intervention at any point of time. As I told you earlier, we subscribe to Crisil's rating services and the rating of a customer is carried out in the system using the Crisil figures."
Arivazhagan goes a step further and says HDFC's system has a provision to predict possible payment defaults by borrowers. "We generate reports to credit information agencies based on the behavior of the customers."
CHALLENGES IN MIGRATION
What have been the challenges for these institutions in migrating from a legacy system to the new system?
Arivazhagan avers that HDFC, even when it came to be established, had been a forward-looking organization. "There had been fairly large scale automation in the organization - like in accounts. As such, automation of the loan system was not a major challenge. Even employees were pretty ready and they undertook the migration in an effortless manner. We had made provisions for continuous training for them at various levels. At no point of time, we had any parallel system running. Again the roll over was done in phases, location by location and this also helped in creating an awareness and in training the staff appropriately."
In the case of Union Bank of India, while data capturing in the manual system has been a difficult proposition, the bank had CBS in place and there had been no major legacy issues. "The database was available centrally," says Srivastava, "and so it was a question of implementing the system and training the people to make use of it. We had a team of 113 people and we implemented the system in a phased manner with meticulous planning. We adopted 'training the trainer' method and this proved to be beneficial. In a matter of eight to nine months, we could train some 3,700 people across all our branches before the system was rolled out in December 2008. This has been a sort of record."
Says Saraswati Shankar: "I do not foresee any major challenges in migrating to this system as the bank is very tech savvy and there is a CBS in place. Even training the people is not going to be any major challenge. LAPS will only strengthen our operations and business. All our branches will be covered by the system once implemented."
For Vijaya Bank, though the existing loan processing mechanism is predominantly manual, Kalia expects the migration to be a smooth affair. The bank will undertake to give adequate hands-on training to the field functionaries.
Shamugam says even when haVing a manual system, Mahindra Finance had operated on a centralized model - data available centrally. "This proved to be beneficial for us when we shifted from a legacy system to a robust ERP system. This has enabled us from 2000 till today to have a full fledged system to seamlessly capture data from various locations in a centralized server and to make the data and information available at various required levels. This actually helped us to automate our loan system in a smoother and effortless manner."
Srivastava says the system has strong access controls. Data inputting is based on maker/checker concept while documents are stored in PDF format. "Access control ensures that the integrity of data is maintained all throughout the loan life cycle," he adds.
Arivazhagan too says in the HDFC system there is a very tight hierarchy-based access controls. The system is also protected through the usual firewalls and anti-virus systems. The customers are given user IDs and passwords to access the system.
"The data is basically in PDF files. However, I must say that compared to banks or mutual funds, our transactions are not huge. It could be just IS transactions at the maximum per account. Hence storage is not a major issue for us," he says.
Kalia says the system the bank has opted for uses SQL data base and security features of SQL database are used to ensure data integrity.
Union Bank of India is using a scoring system based on credit scores evolved by credit information agencies. "We also give
~>----LOS offers interface with USDA system
Associated Software Consultants (ASC) PowerLender loan origination software (LOS) has been updated to offer lenders the ability to upload loan files to the US department of agriculture's (USDA) Guaranteed Underwriting System (GUS). PowerLender successfully completed a series of compatibility tests for submitting files to the USDA's GUS using both the MISMO AUS 2.3.1 .xml format, as well as the Fannie Mae DU/ DU3.2 format. The USDA Rural Development Program, which offers loans that do not require a down payment or private mortgage insurance, traditionally offered loans for low- and very-low-income homeowners.
inputs to these agencies as well as the RBI as per mandatory requirements. The reports are generated by the system and there is no manual intervention at any point of time. As I told you earlier, we subscribe to Crisil's rating services and the rating of a customer is carried out in the system using the Crisil figures."
Arivazhagan goes a step further and says HDFC's system has a provision to predict possible payment defaults by borrowers. "We generate reports to credit information agencies based on the behavior of the customers."
CHALLENGES IN MIGRATION
What have been the challenges for these institutions in migrating from a legacy system to the new system?
Arivazhagan avers that HDFC, even when it came to be established, had been a forward-looking organization. "There had been fairly large scale automation in the organization - like in accounts. As such, automation of the loan system was not a major challenge. Even employees were pretty ready and they undertook the migration in an effortless manner. We had made provisions for continuous training for them at various levels. At no point of time, we had any parallel system running. Again the roll over was done in phases, location by location and this also helped in creating an awareness and in training the staff appropriately."
In the case of Union Bank of India, while data capturing in the manual system has been a difficult proposition, the bank had CBS in place and there had been no major legacy issues. "The database was available centrally," says Srivastava, "and so it was a question of implementing the system and training the people to make use of it. We had a team of 113 people and we implemented the system in a phased manner with meticulous planning. We adopted 'training the trainer' method and this proved to be beneficial. In a matter of eight to nine months, we could train some 3,700 people across all our branches before the system was rolled out in December 2008. This has been a sort of record."
Says Saraswati Shankar: "I do not foresee any major challenges in migrating to this system as the bank is very tech savvy and there is a CBS in place. Even training the people is not going to be any major challenge. LAPS will only strengthen our operations and business. All our branches will be covered by the system once implemented."
For Vijaya Bank, though the existing loan processing mechanism is predominantly manual, Kalia expects the migration to be a smooth affair. The bank will undertake to give adequate hands-on training to the field functionaries.
Shamugam says even when haVing a manual system, Mahindra Finance had operated on a centralized model - data available centrally. "This proved to be beneficial for us when we shifted from a legacy system to a robust ERP system. This has enabled us from 2000 till today to have a full fledged system to seamlessly capture data from various locations in a centralized server and to make the data and information available at various required levels. This actually helped us to automate our loan system in a smoother and effortless manner."