Taishin Bank: SOOP-CLM

As the number of users of digital platforms grows, the number of online transactions also shows exponential growth. The good news that was originally exciting, however, began to affect the transaction response time of online users as a bottleneck occurred in the performance of the database that stores transactions in the back office. As a result, user satisfaction, which had been high, began to be challenged. At the same time, IT staff had to be familiar with SQL syntax and database structure in order to find transaction anomalies, and these factors caused frustration in daily maintenance, so customers began to think about improvement plans.


  • High Upgrading Costs

Originally, the customer wanted to solve the performance problem by upgrading the database hardware specifications and licenses. However, the customer doubted whether the problem could be solved by spending a lot of money. If the online transaction data is increasing again in the future, will it cost more to solve the same problem again?


In order to pursue higher customer satisfaction, there is a huge pressure to eliminate abnormal transactions in a short time. Technical enablement to handle the most operations in the shortest time, enhancing unit output value, and simplifying training costs for future personnel are also began to be included in the improvement plan.

  • Poor performance of application services

As the original operation process is to write the online transaction details into the backend database in real-time, and with the increasing number of online customers, more and more transaction details must be kept in the database, and the performance of this online transaction is gradually being slowed down, the problem is getting more and more serious.

  • Long-term data storage is not easy

As more and more transaction data is stored in the database, how to apply and properly utilize this valuable data is more important. Therefore, how to use big data and artificial intelligence technology to make use of this valuable data has become an important issue, not to mention how to compress this data while still retaining the possibility of reuse is also a key consideration for customers.



  • Adopt non-synchronous data storage technology to drag and drop transaction data with online operations to avoid mutual influence and maintain the performance of online operations.
  • Establish a Data Queue structure to avoid the sudden infusion of large amount of data into the log platform, which affects the stability of the log platform and reduces the chance of data loss.
  • Use keyword query to simplify the trouble shooting process and reduce training costs.
  • High cost effective pricing: unlimited traffic, unlimited number of users and unlimited number of devices authorization method.
    Customers are no longer worry about the need to pay high license fees with the increase of the number of devices or data.



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