Analytic Software Tools...
A family of analytic tools that can be used to facilitate your data analysis and predictive modelling


Model Builder for Decision Trees™
This standalone PC application allows the user analysts to use rich historical data to rapidly create a visual interpretation of more profitable challenger strategies. Building on Classification and Regression Trees (CART) technology, the software examines and splits strategy segments algorithmically to produce branches that isolate similar groups of accounts or customers.

The user can then efficiently select decision keys that represent the most effective strategy tree splits, based on performance measures such as credit risk, revenue or attrition.

Many developers want a tool that allows them to design a strategy using the best elements from both data analysis and domain expertise. While purely automatic strategy creation is possible, MBDT allows the user to use their own judgement at any point to override or adjust statistical recommendations.

Model Builder for Decision Trees (MBDT) gives analysts new abilities to improve strategy design through data analysis. This tool enables the analyst to change performance variables, and handle large data sources and profile segments.




Model Builder for Predictive Analytics
Model Builder for Predictive Analytics supports the entire model development and deployment workflow by including capability to access production data sources, view and analyse data, create variables, build and evaluate models, generate scores, and monitor the behaviour of deployed models. Model Builder is software that reduces the costs of deploying and updating predictive models used in mission-critical business application.

Organizations in any industry can make use of the underlying tools Fair Isaac applies to develop multi-million dollar software systems that analyse company data and deploy predictive models. Model Builder for Predictive Analytics offers a comprehensive set of advanced modelling technologies that can be applied to large historical datasets to find and manage the factors that predict success or failure of important business decisions. Leading corporations use models to make predictions that directly affect their bottom line. Predictors such as expected profitability, retention and risk can be used to dramatically improve the effectiveness of business decisions.

Model Builder is an intuitive, flexible and structured environment for quickly assembling model development and deployment steps using data management and analytic components. Model Builder provides a common working environment for analytic teams that develop models and deployment teams that are responsible for integrating models into operational systems. By sharing a common platform and repository with IT, deployment of analytics becomes seamless without the need to re-program logic in operational business processes.




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