Oracle Real-Time Decisions 3.0 (RTD) for Developers (D72156) – Outline

Detailed Course Outline

Real-Time Decisions Introduction
  • Describing the business purpose and features of RTD
  • Describing Rules and Models in the Decision Framework
  • Describing the capabilities of RTD Applications
RTD Architecture
  • Identifying architecture components of the RTD platform and describing their roles
  • Exploring aspects of the installation and configuration of the RTD platform
  • Describing integration support
Exploring Decision Studio and Inline Services
  • Describing an inline service and explaining its role in RTD
  • Describing Decision Studio and explaining its role in configuring and deploying inline services
  • Identifying and describing the components of the Decision Studio user interface
  • Identifying and describing the key elements in an inline service
Exploring Load Generator
  • Describing the purpose of the Load Generator utility
  • Simulating the run-time operation of an inline service using Load Generator
  • Using Load Generator for testing
  • Using Load Generator performance characterization
Exploring Decision Center
  • Describing the purpose and capabilities of Decision Center
  • Navigating the Decision Center user interface
  • Describing Decision Center reports
  • Modifying and redeploying an inline service using Decision Center
Creating a Basic Inline Service
  • Building a basic inline service
  • Creating and configuring Application, Data Source, Entity, and Informant inline service elements
  • Deploying and testing an inline service
Creating a Model for Call Analysis
  • Adding informants to an inline service
  • Creating choice groups and choices
  • Creating a model to analyze call reasons
  • Populating a model using the Load Generator utility
  • Analyzing results in Decision Center
  • Using the JConsole administration tool to reset model learnings
Generating Offers Based on Performance Goals
  • Creating performance goals and using them to score offers
  • Generating cross-sell offer recommendations using an advisor
Configuring the Inline Service to Learn on Offer Acceptances
  • Configuring the inline service to learn on offer acceptances
  • Tracking the success of offers by using events in the lifetime of an offer
Using a Model to Influence Offer Generation
  • Configuring the inline service to predict the likelihood of offer acceptance
  • Influencing inline service models to present offers based on learnings
  • Adding artificial bias for a particular offer
RTD Predictive Analytics
  • Describing the concept of predictive analytics
  • Describing the RTD decision process
  • Defining the benefits of real-time modeling and scoring over traditional data mining
  • Combining rule-driven and model-driven logic
  • Interpreting RTD real-time model reports and insights
  • Understanding concepts of model quality and maturation
Composite Decisions
  • Understanding the use of external objects in inline services
  • Describing dynamic choices and comparing them with static choices
  • Creating dynamic choices in Decision Studio
  • Describing external rules and external goals
  • Setting up external rules
RTD Administration
  • Migrating inline services from development to production
  • Describing the purpose and use of Java Management Extensions (JMX) Management Console
  • Administering RTD and inline services using JMX Management Console
Real-Time Decisions Batch Framework
  • Describing the RTD batch framework and its architecture and components
  • Implementing the batch job interface and registering batch jobs
  • Running and monitoring batch jobs
RTD Integration
  • Describing how RTD integrates with target applications
  • Describing RTD integration support options
  • Understanding options: Java Smart Client, Web Service Client, and others