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2. Catastrophe modeling - Wikipedia

   en.wikipedia.org/wiki/Catastrophe_modeling

   Catastrophe modeling [1] (also known as cat modeling) is the process of using computer -assisted calculations to estimate the losses that could be sustained due to a catastrophic event such as a hurricane or earthquake. Cat modeling is especially applicable to analyzing risks in the insurance industry and is at the confluence of actuarial ...

3. Predictive modelling - Wikipedia

   en.wikipedia.org/wiki/Predictive_modelling

   Predictive modelling is utilised in vehicle insurance to assign risk of incidents to policy holders from information obtained from policy holders. This is extensively employed in usage-based insurance solutions where predictive models utilise telemetry-based data to build a model of predictive risk for claim likelihood. [citation needed]

4. Predictive analytics - Wikipedia

   en.wikipedia.org/wiki/Predictive_analytics

   Predictive analytics is a form of business analytics applying machine learning to generate a predictive model for certain business applications. As such, it encompasses a variety of statistical techniques from predictive modeling and machine learning that analyze current and historical facts to make predictions about future or otherwise unknown events. [1]

5. Credibility theory - Wikipedia

   en.wikipedia.org/wiki/Credibility_theory

   Credibility theory. Credibility theory is a branch of actuarial mathematics concerned with determining risk premiums. [1] To achieve this, it uses mathematical models in an effort to forecast the (expected) number of insurance claims based on past observations.

6. SAS (software) - Wikipedia

   en.wikipedia.org/wiki/SAS_(software)

   SAS (previously " Statistical Analysis System ") [1] is a statistical software suite developed by SAS Institute for data management, advanced analytics, multivariate analysis, business intelligence, criminal investigation, [2] and predictive analytics. SAS' analytical software is built upon artificial intelligence and utilizes machine learning ...

7. Customer lifetime value - Wikipedia

   en.wikipedia.org/wiki/Customer_lifetime_value

   t. e. In marketing, customer lifetime value (CLV or often CLTV), lifetime customer value (LCV), or life-time value (LTV) is a prognostication of the net profit contributed to the whole future relationship with a customer. The prediction model can have varying levels of sophistication and accuracy, ranging from a crude heuristic to the use of ...