SAS® Intelligent Decisioning Features

Enterprise data throughput

  • Ability to deliver more than 5,000 real-time transactions per second.
  • Ability to achieve response times of 10 milliseconds per transaction.
  • SAS integration utilities simplify integration with a variety of third-party applications at the data level.

Decision flow builder

  • A centralized, graphical drag-and-drop interface lets you assemble business rules, custom code and models into complete decision flows, which minimizes the need to write deployment code that joins these pieces together.
  • Ability to define decisions by browsing existing data, model and business rule repositories and selecting from existing assets.
  • Create custom code within a decision flow to integrate with business application REST APIs, databases, web service calls and open source Python.
  • Control decision orchestration by adding condition logic (i.e., IF-THEN-ELSE) and using outputs from any preceding rule or model.
  • Easily navigate to the business rule editor from a decision flow, simplifying editing and rule-logic updates using deep linking.
  • Simplify model selection and inspection by drilling from decision flow through to model repository.
  • The enhanced rule list view provides compressed, easy-to-read rules that let you readily identify logic definitions.
  • Built-in version control for entire decision flows simplifies testing and validation.

Business rules management

  • An integrated business rule management platform enables fast rule construction, testing, governance and integration within decision flows.
  • Rule version management capabilities improve tracking and governance during deployment, including deep linking to business rules from decision flows.
  • Quickly create complex business logic within decision flows, including on-the-fly term development.
  • Provides free-form rule-logic creation with full access to sophisticated functions.
  • Lookup table integration to execute lookup for rule-logic checks and rule actions.
  • Lookup table management for table import and updates gives you the ability to create lookups from SAS Visual Analytics tables.
  • Lookup tables can be activated and locked at user discretion to support proper usage of the most current lookup tables within business rules.

Testing and model governance

  • Business rules:
    • Lock down or augment rule versions.
    • Use explicit and detailed rule-fire analysis for testing, refinement and rule auditing documentation prior to operational deployment.
    • Save rule tests, test suites and log details for documentation and reuse.
  • Deployment:
    • Use a common environment for disciplined testing, change management, auditing and validation.
    • Create complete decision flows from within the interface for both batch and real-time environments, simplifying IT integration and acceptance testing, as well as operational deployment.
    • Reporting and user logs for audit history simplifies IT testing for applications that call operational analytics as web services.
    • Register multiple input tables for use within SAS Intelligent Decisioning, including testing, publish target validation and simulation.
  • Embedding:
    • Publish the model to production.
    • Minimize data movement by executing in the data store or stream.
    • Reuse portable score code.
  • Monitoring:
    • Provide performance reports and notifications.
    • Automatically retrain models when they decay.
    • Swap champion with challenger based on thresholds.
  • Automation:
    • Automate the complete end-to-end model management process.
    • Provide workflows and rules that govern model execution.
  • Marketing-specific:
    • Perform champion/challenger model comparisons.
    • Take advantage of decision analysis capabilities, including simulation options.
    • Track and view lineage of campaign components to conduct impact analysis of changes.
    • Get more information about your customers through detailed contact and response history.

Enhanced term management

  • Automated rule-to-term mapping includes type and domains from existing data dictionaries and tables.
  • Rename terms and choose what to include/exclude from the input, and output the definition of a decision flow.
  • Dynamically add new terms as needed to simplify term definition, data type, input/output designation and length.

Simplified deployment

  • Real-time deployment (via web services):
    • Micro analytic web service (MAS) provides fast, scalable web service deployment.
    • Easily move complete decision flows into IT web service testing environments and production deployment.
    • Supporting analytical scoring as a service, MAS execution operates in a self-contained and portable standalone architecture (with a minimal footprint). In-memory threaded kernel processing simplifies integration with transactional systems, as well as IoT edge or in-stream computing.
  • SAS Environment Manager plug-in provides simplified execution target definition and management for CAS, MAS, in-database and Hadoop targets.
  • In-database batch deployment:
    • Execute business rules and analytical model scoring without moving the data.
    • Deploy business rules, decisions and related analytical models in Hadoop distributions via SAS/ACCESS® Interface to Hadoop, which transforms data lakes into functional IT testing and implementation environments.
    • Includes extended support for the following Hadoop environments: Cloudera, Hortonworks, MapR, Pivotal and BigInsights.
    • Supports in-database rule execution for models, rules and decisions for Hadoop, Teradata and CAS.

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