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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