LAHORE (Staff Report/PR) – Allied Bank Limited (ABL), one of Pakistan’s leading banks, has reduced the critical close of business (COB) processing time by as much as 50 percent with the successful deployment of Oracle Exadata Database Machine.
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In addition, the bank has been able to simplify its IT and accelerate its expansion plans due to the solution’s ability to scale. ABL was also able to boost its data protection capabilities at a reduced total cost of ownership (TCO).
With its prior infrastructure, ABL’s core banking application was experiencing scalability issues, due to a high number of transactions in its Online Transaction Processing (OLTP) system.
This resulted in delays in generating important reports and made it difficult for the bank’s management to make effective and timely decisions. The cost of scaling the existing solution was another key concern for the bank as it sought to pursue aggressive expansion plans.
By implementing Oracle Exadata, ABL was able to optimize its core banking hardware infrastructure and enhance its OLTP processing.
As a result, it was able to significantly reduce the processing time for COB tasks such as daily transaction, calculating and posting interests, rolling the bank date forward and production of various reports.
“We had already done work to optimize our core banking application at the software level in order to improve OLTP and COB performance but the system still needed a boost,” said Sohail Aziz, Chief – Information Technology Group, Allied Bank.
“By using Oracle Exadata, we were able to shrink the time for critical reporting processes by as much as 50 percent and at a reduced infrastructure cost. From our evaluation at that point in time, we found Oracle Exadata was the only solution that could help us achieve the OLTP and COB performance required.”
“We are proud to have been selected by Allied Bank for this project,” said Waqas Hashmi, Country Director – Technology Business, Oracle Pakistan.
“It is heartening to know that ABL is reaping benefits from Oracle Exadata Database Machine and we are confident that the implementation can help the bank to embark on its aggressive expansion plan.”