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
