Introduction
Welcome to Frontline Systems’ RASON® modeling language. A cloud service that enables companies to easily embed 'intelligent
decisions' in a manual or automated business process, applying business rules powered by advanced analytics."
RASON, an acronym for RESTful Analytic Solver Object Notation, is a high-level, declarative modeling language embedded in
JSON (JavaScript Object Notation), the popular structured format widely used in Web and mobile applications. A REST API
at https://rason.net enables applications to submit RASON models to Frontline's servers, solve them and obtain results in JSON.
RASON utilizes a mini-language you can use to quickly and easily create and solve optimization, simulation/risk analysis, data
mining, decision table and decision flow models. RASON is compatible with Windows and Linux desktops and servers but is especially
useful if you are building Web or mobile applications.
If you have ever used a modeling language to build an analytic model, you’ll find the RASON language to be simple but powerful
and expressive and integrating RASON models into a larger application, especially a web or mobile app, is much easier than with
other modeling languages.
Unlike existing "heavyweight" Business Rule Management Systems, with year-long implementation schedules, six-figure budgets and
limited analytics power, RASON Decision Services enables creation of decision models and flows powered by a full range of machine
learning, optimization and simulation methods, with faster deployment thanks to built-in support for Excel, Power BI, Power Apps,
Power Automatic (aka Microsoft Flow) and Dynamics 365 via the Common Data Service, OneDrive and CData's Cloud Hub.
Business analysts and developers can sign up for free trial accounts to evaluate RASON Decision services at http://rason.com which
will provide access to tools to compose RASON models and decision flows, exercise the REST API, try out dozens of example models illustrating use of
decision tables, predictive models and machine learning, optimization and simulation and download the RASON User Guide and Reference
Guide in PDF form.
Click here to view the RASON About pages which illustrate how to compose RASON models and exercise
the REST API.
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