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Mike Krumenaker
Palisades Reserach, Inc
Palisades Research, Inc. develops Internet-enabled data mart
and on-line analytical processing (OLAP) systems for actuarial
and underwriting departments to use in pricing and developing
insurance products based on historical policy, premium and claims
data. We can add sophisticated statistical modeling capabilities, including decision trees, logistical/linear regression, neural networks, and other techniques.
These efficient and cost-effective tools provide:
- Easy access to historical claims and premium data summarized
by characteristics critical to decision making
- The capability to analyze historical trends in premiums and
claims
- Simplified preparation of regulatory reports to request rate
changes
- Automated creation of auto insurance class code variables
via artificial intelligence techniques
- An analytical platform for statistical modeling and calculating
product profitability
Insurance product development, risk analysis and product pricing
require efficient access to historical premium and claim data
and their summarization by various combinations of business dimensions.
Addressing these needs on an ad hoc basis is time consuming, inefficient
and expensive. We develop data marts and multidimensional cubes
based on SAS and Microsoft technologies to deliver OLAP capabilities
to end users through their browsers.
In addition, the data mart is an ideal platform for statistical
modeling, data mining and calculating the profitability of insurance
products.
Palisades Research provides
database and Internet-enabled decision support solutions, statistical
analysis and data mining. You can learn more about us
and the applications we have developed for the Insurance industry
from our website www.palisadesresearch.com.
In the Solutions column on our home page you will find a link
to each of our hands-on demos: |