This course provides an overview of SAS Real-Time Decision Manager 6.6 and prepares you to construct inbound marketing decisions using the solution.

Learn how to

• Navigate the SAS Real-Time Decision Manager interface.
• Create campaigns and diagrams using SAS Real-Time Decision Manager.
• Create treatments.
• Arbitrate treatments.
• Create history campaigns.
• Test and validate campaigns.
• Mark campaigns for deployment.

Who should attend

Anyone responsible for designing, implementing, and testing marketing campaigns using SAS Real-Time Decision Manager

Formats available	Duration
Classroom:	2 days
Live Web Classroom:	5 half-day session(s)	System Requirements
e-Learning:	14 hours/180 day license	System Requirements

There are no formal prerequisites for this course. Before attending this course, you should have basic skills using a web browser and software based on the Windows environment, and be familiar with business issues and processes for interactive marketing campaigns.

This course addresses SAS Customer Intelligence Tools, SAS Real-Time Decision Manager software.

Introduction to SAS Real-Time Decision Manager

• Creating and implementing campaigns.
• Working in SAS Customer Intelligence Studio.
• Inbound campaign basics.

Campaign Fundamentals and Basic Nodes

• Beginning a campaign with the Start and Reply nodes.
• The Process and Business Rules node.
• Adding Filter and Branch nodes.
• Assigning treatments.
• Assigning reply variable values.

Advanced Nodes

• Calculated variables and the Assignment node.
• Adding a Cross Table node.
• Working with the Subdiagram node.

Creating Treatments

• Creating treatments.
• Specifying inbound contact rules.
• Creating and using dynamic treatment custom details.
• Updating treatments.

Treatment Eligibility and Arbitration

• Assigning treatment eligibility.
• Arbitrating treatments by sorting.
• Arbitrating treatments using self-learner processes.

Decision Treatment Campaigns and Campaign Sets

• Overview of decision campaigns, decision treatment campaigns, and decision treatment campaign sets.
• Creating and using decision treatment campaign sets.

Finalizing a Campaign

• Validating a campaign and running test cases.
• Documenting and marking for deployment.

History Campaigns

• Introduction to the common data model.
• Capturing campaign history data.