Streamlined analytical model deployment
Provides one common and consistent method for accessing and managing information, selecting analytical models and defining the business rules that create the context for production use.
Improve interactions with customers, partners, suppliers and employees.
Using operational data – informed by analytical models and governed by business rules – IT and business can jointly engineer and deploy operational decisions to automatically define the best action to take. From a single interface, you can natively integrate, manage and deploy SAS and Python analytical models, custom code and business rules, with identical logic for both batch and real-time web service execution. That means faster deployment and confidence in the integrity of your analytically driven operational decisions.
A common decision authoring and deployment environment used by different specialists dramatically reduces the time IT must spend validating and deploying analytical models, including SAS, open source and custom code. Decisions are deployed with just a few clicks that generate environment-specific runtime decision code, eliminating the need to customize decision logic execution environments for both real time and batch.
Shared, flexible processing control logic lets analysts select data and models from existing repositories. And defining business rules in context ensures continuity and shared terminology.
Deliver consistent, analytically sound actions across your organization with managed, automated decisions defined for operational activities. A fully integrated application on a single framework means users’ activities are fully traceable and open to detailed investigation, which helps ensure governance and policy compliance.
This solution runs on SAS® Viya®, which has the breadth and depth to conquer any analytics challenge, from experimental to mission critical. SAS Viya extends the SAS Platform to enable everyone – data scientists, business analysts, developers and executives alike – to collaborate and realize innovative results faster.
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