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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

Consulting

Independent assessment and augmentation of your data to improve loss figures

eCityRisk provides re/insurers with quality-driven yet cost-effective technical assessment of their exposure data quality. We pride ourselves on delivering an excellent level of service, and as an independent third-party provider that works alongside but is not owned by or affiliated to the modelling companies.

eCityRisk consulting services can tailor a quality control solution to fit your individual needs and will handle all aspects of data cleansing and enhancement. Please contact eCityRisk for further information on the consultancy plans available.

 

Contact ecityrisk for a quote

Click here to request a quote

We look forward to receiving your request and we will respond promptly.

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 »