Decision Research Corporation (DRC), a rating and policyprocessing software and services solution provider to the property& casualty insurance industry, announces its DecisionMakerSuite now supports Commercial Package Policies.

Insurance carriers using DecisionMaker Suite are able to packagemultiple coverage parts and apply customized package discountfactors to their policies through the DecisionMaker system. Support for CPP is fully integrated into DecisionMaker Suiteallowing separate mono-line policies to be consolidated into asingle policy (with no duplicate data) in a few keystrokes. Allstandard DecisionMaker Suite policy administration functionscurrently available for mono-line policies can be applied for CPPpolicies.

“The launch of Commercial Package Policy further demonstratesour configuration instead of customization approach to insuranceproduct management within DecisionMaker Policy Administration,”says Karen Yamamoto, president of DRC. “When working with newor existing Packages, business units are able to select existinglines or add new lines as needed. This feature gives ourcustomers a cost effective way to introduce new packages to themarket using DecisionMaker Suite.”

DTRIC Insurance recently implemented DecisionMaker's CommercialPackage Policy to supplement the commercial lines of businessalready in production at DTRIC which include commercialauto/truckers, workers' compensation, general liability andcommercial fire; all processing under a single DecisionMaker Suiteapplication.

DTRIC also is able to add coverages for lines still processed bytheir legacy systems to their CPP policies providing DTRIC withsignificant flexibility in pricing and servicingpolicies.

“The addition of CPP to our existing DecisionMaker Suiteapplication went very smoothly and DRC was there to ensure that ourstaff was properly trained and able to issue CPP policesimmediately after training completed,” says Garrett Yoshimi, vicepresident and CIO of DTRIC. “The ability of DecisionMaker CPPto reconcile and eliminate occurrences of redundant data across theunderlying lines of business coverage parts has greatly enhancedour processing efficiency.”