Reliance Commercial Finance Processes Financial Transactions up to 40% Faster, Collates Report Data in One Hour, Compared to Eight Hours
 
 

Reliance Commercial Finance Processes Financial Transactions up to 40% Faster, Collates Report Data in One Hour, Compared to Eight Hours

Reliance Commercial Finance, a division of large Indian financial services provider Reliance Capital, provides loans for mortgages, commercial and private vehicles, construction equipment, and infrastructure. The company also offers loans against existing property and investments, such as gold, as well as microfinance services to the self-employed and individuals on low incomes. Reliance Capital had a loan book of US$2.9 billion for the financial year ending June 30, 2011.

Since 2007, Reliance Commercial Finance has used Oracle Database with Oracle Real Application Clusters running on Sun SPARC servers to underpin FinnOne, its core lending application. In 2009, Reliance Commercial Finance set up a disaster recovery center using Oracle Active Data Guard to provide automatic online data replication between servers at its primary site and disaster recovery center. In March 2011, the company moved its data warehouse and business intelligence solution to Oracle Exadata Database Machine X2-2 Quarter Rack.

“The financial services market in India is extremely competitive and customers have many options when it comes to finding an appropriate loan to meet their requirements,” said Shashi Kumar Ravulapaty, senior vice president and CTO, Reliance Commercial Finance. “The Oracle infrastructure ensures we can provide our customers with access to loans as quickly and efficiently as possible.”

 
Ensuring High Availability of Core Lending Application

A word from Reliance Commercial Finance

  • "The financial services market in India is extremely competitive and customers have many options when it comes to finding an appropriate loan to meet their requirements. The Oracle infrastructure ensures we can provide our customers with access to loans as quickly and efficiently as possible.” – Shashi Kumar Ravulapaty, Senior Vice President and CTO, Reliance Commercial Finance

Reliance Commercial Finance began operations in early 2007 and initially deployed Oracle Application Server and Oracle Database 10g to support its FinnOne core lending application, which is used by staff to complete commercial and home lending transactions. At the time, the application was hosted on a Sun Fire V40Z server and Oracle Database was hosted on a Sun Fire V890 server running eight UltraSPARC CPUs and 16GB of RAM.

“We had just entered the market and planned to become one of the top three lending organizations in India by 2010,” said Ravulapaty. “To reach that goal, we needed to make sure we served our customers as quickly and efficiently as possible. This would involve upgrading infrastructure to improve the performance of our core lending applications, more easily analyze our financial and customer data, and provide high availability features to eliminate unnecessary system downtime, which affects customer service.”

In 2008, Reliance Commercial Finance purchased a second Sun Fire V890 server running eight UltraSPARC CPUs and 16GB of RAM. It used Oracle Real Application Clusters to create a two-node server environment to provide high availability and redundancy features at its headquarters in Mumbai, India. The aim was to ensure the reliability of its FinnOne and other lending systems, so that if these systems went down, the business would still be able to process customers’ loan applications, repayments, and other financial transactions.

In March 2011, Reliance Commercial Finance migrated its high performance data warehouse, which enables the company to store and analyze financial transactions onto Oracle Exadata Database Machine X2-2 Quarter Rack, which features Oracle Database 11g running the Oracle Linux operating system. The Oracle Exadata Database Machine has 21TB of storage capacity.
These transactions include the amount of unpaid debt per month and customer data, such as the amount and term of a customer’s loan, and the amount and frequency of their repayments.

The company also created a disaster recovery center in Bangalore by deploying a Sun Fire V490 server with four UltraSPARC CPUs and 16GB of RAM. It deployed Oracle Active Data Guard to provide automatic, online data replication between servers at its primary site in Mumbai and its Bangalore disaster recovery center. This ensured the organization could recover from a disaster, such as a fire or anything else that could impair availability at its primary site.

 
Faster Transaction Processing with Clustered Infrastructure

 
Highly Scalable Data Warehouse Supports Business Growth

 
Improved File Tracking

 
Financial Reporting Times Reduced

 
Business Continuity Guaranteed

 
 

 
 

Challenges

  • Deploy IT infrastructure that would support a plan to grow the company to become one of the top three lending providers in India
  • Improve the performance of its FinnOne core lending application
  • More easily analyze financial and customer data
  • Provide a highly available environment that avoids unnecessary system downtime

Solutions

  • Implemented Oracle Exadata to process transactions quickly and easily, ensuring the organization could serve more customers, more efficiently
  • Processed customer loans and other account information up to 40% faster than previously, which improved customer service levels
  • Eased the load on the company’s Oracle Database, ensuring it could process up to 25,000 customer transactions per day, up from 5,000 transactions previously
  • Served customers more efficiently by ensuring a critical transaction process, which previously took eight hours, now only takes one hour to complete
  • Provided automatic failover capabilities, ensuring staff could still use core lending and financial applications to serve customers in the event of a server failure
  • Enhanced customer service by enabling multiple users to access a file tracking system almost immediately
  • Reduced the time it took to collate loan transactions for the month from eight hours to one hour, enabling finance teams to compile monthly reports faster
  • Replicated transactional data in real time, which ensured the most up-to-date data could be recovered after a server failure
  • Expected to scale to accommodate four times the number of customers and double the transaction load, over the next two years

Why Oracle

Reliance Commercial Finance chose Oracle due to the company’s extensive experience working with large organizations in the Indian financial services market and the maturity of its technology.

“I had experience working with Oracle technologies before I started at Reliance Commercial Finance,” said Ravulapaty. “Oracle technologies, particularly Oracle Real Application Clusters and Oracle Database, are considered the gold standard in this industry.

“We also have access to many technical specialists with high-level Oracle skills. Oracle Consulting’s technical teams provide us with 200 hours of support annually, which ensures our Oracle infrastructure is always running smoothly.”

Implementation Process

During the initial stages of the project, Reliance Commercial Finance developed a test environment to analyze the infrastructure. Over the following 40 days, the company moved its applications and databases into a production environment and developed the appropriate system failovers and redundancies before the new infrastructure went live in early 2009.