Next Article Table of Contents Previous Article

Aetna Life Taiwan Deploys IBM BI Solution

Aetna Life Taiwan, the first foreign life insurance company in Taiwan, is using an IBM business intelligence solution to enhance its ability to market new products and meet customer demands.

The data warehousing solution will help the company analyze its customer data base information, increase the company's knowledge of the competitive landscape, identify trends and efficiently manage information during times of varying productivity.

"IBM has a series of products, not just one solution," said Miller Wang, CIO and assistant vice president, Aetna Life Taiwan. "Their comprehensive solution and knowledge of our legacy system helped us meet our goals and design a system that will serve us well into the future."

In implementing this full solution, Aetna used IBM's Visual Warehouse to eliminate the programming effort normally required to move data from the mainframe to the data warehouse. IBM's Intelligent Miner interprets the data and allows the company to identify trends and correlate the information.

By teaming with IBM, Aetna Life Taiwan is positioned to better evaluate the needs of its clients and gain a competitive edge while placing up-to-date information about its clients at its agents' fingertips quickly. In the future, the system will allow Aetna to profile former customers and help them recapture that market, along with the flexibility to launch an Internet presence and customer relationship marketing project.

With the help of IBM Global Services, Aetna deployed the solution on the AS/400 platform, using IBM Visual Warehouse, IBM DB2 Universal Database, DB2 OLAP Server and Intelligent Miner for Relationship Marketing. The solution also includes Visual Warehouse for migration of information from a legacy system to the DB2 data warehouse. MQSeries 5.0 was used to provide message queuing and data updates between the AS/400 and Windows NT -- sending data from the warehouse to the agent workstation. MQSeries Integrator helped to manage the queues. For information on other IBM e-business success stories: www.software.ibm.com/casestudies.

Top of Page


Previous Article  |  Table of Contents  |  Next Article