The Singapore Land Authority (SLA) handles the registration of property transactions, the issue of new title documents for all properties in Singapore. The Singapore Titles Automated Registry System (STARS), built in Natural ADABAS, captures this information, applies current policy rules and ensures accurate data for the Land Register, which is guaranteed by law. If this information is inaccurate, or if the updated policy information is not applied, the government is open to legal and financial liability.
The STARS system had accumulated nearly 20 years of data and application customization. It was imperative to translate the appearance and functionality of the system in a manner that minimized user impact and met performance and integration requirements. In all, the following legacy workload was converted to Java with Oracle Database: Over 1M lines of Natural code, Over 150 DDMs representing more than 70 ADABAS files and over 700 DCL programs.
Ideal audiences for this document include:
- CIOs and CFOs seeking to leverage data analytics and/or business intelligence to extend products or services
- CIOs looking to streamline systems and add efficiencies
- CFOs looking to dramatically reduce license spend associated with legacy systems
- Line of Business Managers looking to integrate platforms for better service levels and performance