Oracle - Course Details

OraRTD(RTD)D Oracle Real-Time Decisions (RTD) for Developers

Oracle Course Description:
The course introduces the RTD platform, describing its features, function, and capabilities. It also covers the RTD architecture, platform, and pre-built Base and Specialized solutions, including RTD for Intelligent Offer Generation and RTD for E-Commerce. The lesson topics are reinforced with structured hands-on practices during which participants create and deploy a fully functional inline service project from scratch.
Oracle Course Duration:
3 DAYS
Oracle Course Target Audience:
Business Intelligence Developer,SOA Architect,Technical Administrator,Technical Consultant
Oracle Course Prerequisite:
Business Intelligence and Analytics,Service-Oriented Architectures,Data Warehousing Data Mining,Marketing
Course Content:
  • RTD: Introduction

    • Describing the business purpose and features of RTD
    • Distinguishing between RTD solutions
    • Describing the capabilities of RTD solutions

  • 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 the Specialized solutions architecture

  • 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

  • RTD Predictive Analytics

    • Describing the concept of predictive analytics
    • 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

  • 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 learning

  • 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 learning
    • Adding artificial bias for a particular offer

  • Working with Dynamic Choices

    • Describing dynamic choices and comparing them with static choices
    • Creating dynamic choices in Decision Studio

  • 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
    • Testing the deployed inline services for performance and scalability

  • RTD Integration

    • Describing how RTD integrates with target applications
    • Describing RTD integration support options

  • RTD Business Impact

    • Using Specialized and Base solutions to describe the impact of the real-time analytics approach on marketing and other processes across channels
    • Understanding the impact of RTD on non-marketing business processes