Showing posts with label loss database. Show all posts
Showing posts with label loss database. Show all posts

Wednesday, July 19, 2017

Use Loss Data to Have Winning Renewals

How can you use loss data to prepare for and augment your renewals? Loss data helps you justify your coverage recommendations and helps determine appropriate limits. How do you gather relevant loss data to reinforce your renewal proposals?

Join us on Thursday, September 14th at 11 AM EDT as Advisen shows you how to differentiate yourselves from your competitors by utilizing our large loss database to the fullest.

For more info and registration of this webinar, visit https://www.advisenltd.com/2017/07/06/use-loss-data-winning-renewals/

Advisen Ltd. September 2017. Use Loss Data to Have Winning Renewals [Webinar].

Monday, January 11, 2016

Advisen's Loss Database Now Exceeds 300,000 Cases

The most expansive collection of loss data breaks new boundaries in the quest to showcase indicative loss examples and fuel predictive models.

Advisen recently announced that its proprietary loss data, available in Loss Insight, now provides access to more than 300,000 cases, events, or actions. This large volume of loss data is housed in a structured, relational database,and is mapped to 20 million insureds. Clients use Advisen’s loss data to power predictive models, contribute to insurance carrier strategy, inform the selection of insurance limits, and provide peer loss examples to brokers, risk managers, and corporate board members.

Advisen’s loss database contains more than 7,000 loss cases, events, or actions relating to property risks. The database includes losses from numerous risk categories, among them losses pertaining to manufacturing plants, buildings, and refineries. This data, in conjunction with the twice-weekly Front Page News summary of property related news, gives professionals specializing in property risks a more holistic view of the property risk landscape.


"ADVISEN’S LOSS DATABASE NOW EXCEEDS 300,000 CASES." Advisen. Advisen Ltd, 9 December 2015. Web. 11 January 2016