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ecityrisk

Better Data = Business Advantage

An ImageCat Company

Exposure Data Scoring and Enhancement

ECITYRISK USA

400 Oceangate, Suite 1050
Long Beach, CA
90802 USA

Telephone: +1 (562) 628 1675
Fax: +1 (562) 628 1676

ECITYRISK UK

Communications House
63 Woodfield Lane

Ashtead, Surrey, KT21 2BT
United Kingdom

Telephone: +44 (0) 208 123 9864
Fax: +44 (0) 560 115 5791

Exposure Data Scoring and Enhancement

Real Results

Data is the life-blood of the insurance industry, but all too often, 'dirty' data is used to make critical re/insurance decisions. The CAT models are only as good as the data that goes into them, and garbage-in means garbage-out. Selected benefits of eCityRisk’s data cleansing and augmentation services include:

More accurate modelling results and reduced costs
With better quality data, model results are reflecting reality better. Using quality data is proving favourable in terms of risk for underwriters- enough to offer some premium credit and additional capacity.

Better A.M Best rating and investor confidence
Improved confidence of rating agencies, shareholders, investors and reinsurers by demonstrating active data quality management.

Reduced premium for re/insurance
Better quality data is an incentive to get better re/insurance pricing. Credits are being offered for better data quality by reinsurers, and insurers are penalising insureds if the value of exposure goes up as data quality is enhanced.

Post-disaster risk reduction
Calculating post-event losses with quality exposure data helps to prevent costly mistakes resulting from liquidating assets to cover inaccurate estimates of expected claims.

Contact ecityrisk for a quote

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NEWS & PUBLICATIONS

White paper on Data Quality

Data quality in focus: Managing Enterprise Risk and Delivering Competitive Advantage with Improved Data Quality

Case studies

Case Study 1: Baseline Risk Platform uses eCityRisk for Cleansing and Enhancement

The Baseline Risk Platform (BRP) released this summer (2009) by the Baseline Management Company is the newest Cat model that is web-based and uses the industry standard UNICEDE/px exposure data format. Portfolio data from several insurers were cleansed and validated for import into the BRP platform »

Case Study 2: Unnamed insurer used geospatial exposure data index developed for cleansing and enhancing large scale distributed insurance portfolios

The study was performed to critically examine building attributes such as values, occupancy, structural type, age, year built information to create a geospatial exposure data index for large scale and spatially distributed insurance portfolios »