TECHNICAL ORIENTATION - MAPPING MCIS V.3 TO INSURANCE COMPANY SYSTEM AND COMPANY TEMPLATE-USER INFORMATION

PIRA-MCIS Technical Orientation

To assist all PIRA members to use the MCIS V3 application which is to be launch in August 2018, PIRA scheduled a half day “Basic Steps in Mapping MCIS V.3 to Insurance Company System and Company Template-User Information” MCIS Technical Orientation, held last  July 20, 2018, Friday, AIM Conference Center Manila, Benavidez corner Trasierra Street, Legaspi Village, Makati City.

 

The MCIS v.3, an enhancement of the MCIS v.1 & 2 was developed by NDPI in a web-based, online real-time & multi-user system to further capture data on motor claims to detect and safeguard member companies against fictitious/fraudulent claims settlement by two or more companies for a particular vehicle. The system will further gather information for the industry’s statistics on total losses, carnapped vehicles, substantial OD claim and other third-party claims for rating and pricing purposes that the Motor Committee is undertaking.

 

The MCIS v.3 also enhances the COCAF system by interface link with the authentication process (LTO Registration) to the motor claims (MCIS) data. The linking will allow early detection by COCAF user if the vehicles have been reported as either total loss unit or carnapped/stolen, or has substantial OD claim at the point of COC registration Authentication.    

 

The MCIS v.3 system has undergone the User Acceptance Test (UAT) exercises as well as the COCAF-MCIS Integration test.

 

Mr. Paul Jason Canapi from NTT Data facilitates the technical training together with Mr. Jaycee Dela Cruz, PIRA MCIS Project Manager. Mr. David Mercado PIRA Board of Trustees was also present during the event. PIRA Executive Director Mr. Michael Rellosa delivered welcome address to the participants. PIRA General Manager Mr. Roger Concepcion and Ms. Agnes Silaya are also in attendance together with Mr. Christopher Marquez and Mr. Cleto Obello, both from PIRA Motor Car Committee were also present to further explain the benefits of MCIS Data.

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