Key Benefits
Embracing Open Standards
Designed to be usable by business analysts and domain experts, not just data scientists and IT professionals, RASON Decision Services offers easier
model creation and deployment by embracing two open standards: DMN (Decision Model and Notation) and its FEEL (Friendly Enough Expression Language)
from the Object Management Group – now a widely used alternative to proprietary business rules languages, and ODATA (Open Data Protocol), an ISO/IEC
approved OASIS standard for RESTful data access – now a widely used alternative to older, on-premise methods such as ODBC (Open Data Base Connectivity).
Besides enabling analytic models to easily consume OData sources, RASON produces OData endpoints for model results, enabling analytic model results as
data – a key idea.
Integrating Analytics with Business Rules
RASON Decision Services provides everything needed for both advanced analytics and business rules: comprehensive data access,
forecasting, text mining, machine learning, Monte Carlo simulation and mathematical optimization. Use of a predictive model as
input to a set of business rules – considered an advanced use case in older systems – is simple in RASON Decision Services, where
results from any analytics method can be used in decision tables, and decision tables using FEEL, Excel formulas, and high-level
RASON notation can be used for business logic inside optimization or simulation models.
Multi-Stage Workflows of Analytic Models
RASON Services enables users for the first time to define multiple "stages" in a single script, where a stage can perform a SQL
operation, apply a data transformation, train a machine learning model, apply it to score new data, run a simulation, solve a
mathematical optimization problem, or evaluate one or more linked decision tables. Results are passed between stages in a rich,
standard "Indexed Data Frame" form.
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