COM Automation and Schedule P data



The unique technological power of ICRFS-PLUS™ combined with A.M. Best's or NAIC Schedule P data will put your company financially and strategically ahead. Gain a competitive advantage by comparing your company's intrinsic risk characteristics with your competitors. IS your company's claims inflation higher or lower than your competitors? SHould your company be increasing its totla reserves (and price) each year by more or less than your competitors? Which companies carry higher risks?

Extract all this information with just a few mouse clicks.

* Import large amounts of triangle data
Triangle or unit record transactional data in Microsoft Excel, Microsoft Access or other databases can be imported directly to an ICRFS-PLUS™ database. New triangles can also be created from existing triangles - for example, incremental from cumulative, case reserve estimates from paid and incurred triangles, totals of a number of triangles.


* Model data using the wizard
Run a wizard on all the triangles in a database to get a quick view of what is happening in your data. Then you can focus on the problem areas to get more information.


* Customise and automate reporting
Generate reports in COM-enabled software such as Excel or Word, customised to get the exact content and layout that you require.


* Communicate directly with other software
Import distributions and correlations into COM-enabled DFA software.


* Update database including models
The whole database can be updated seamlessly including models using the COM automation.





* Conversion of A.M. Best & NAIC Schedule P CD to an ICRFS-PLUS™ database

Just click the button and you will have an ICFRS-PLUS™ database containing all the long-tail liability triangles from Schedule P, including aggregates for each line and company. The database can be searched by company name, by line of business, and many other descriptors. Navigate quickly to your competitors, or the industry totals, and see how their trends and volatility compare with those in your company's data.