The success of Service-Oriented Architecture (SOA) has created the foundation for information
and service sharing across application and organizational boundaries. Through the use of SOA,
organizations are demanding solutions that provide vast scalability, increased reusability of
business services, and greater efficiency of computing resources. More importantly,
organizations need agile architectures that can adapt to rapidly changing business requirements
without the long development cycles that are typically associated with these efforts. Event-Driven
Architecture (EDA) has emerged to provide more sophisticated capabilities that address these
dynamic environments. EDA enables business agility by empowering software engineers with
complex processing techniques to develop substantial functionality in days or weeks rather than
months or years. As a result, EDA is positioned to enhance the business value of SOA.
The purpose of this white paper is to describe the approach employed to overcome the significant
technical challenges required to design a dynamic grid computing architecture for a US
government program. The program required optimization of the overall business process while
maximizing scalability to support dramatic increases in throughput. To realize this goal, an
architecture was developed to support the dynamic placement and removal of business services
across the enterprise.
Rob sees three key areas where rules can help:
Tighter warranty controls
Claims processing is improved because financial limits, detailed coverage types, materials return and more can be automated and rapidly changed when necessary. The rules also allow “what-if” testing and impact analysis.
Better built vehicles
The decision making is tracked very closely thanks to rules so you can analyze specific repair types, specific VINs and so on. More effective parts return and generally better information also contribute.
Lower cost repairs
Rules allow goodwill repairs, labor-only repairs and specific kinds of repairs to be managed very precisely. Rules-driven decisioning can reduce the variation of costs between dealers and help intervene, rejecting or editing claims that seem overly expensive. The ability of rules to deploy data mining and predictive analytics can also really help here.