Course Introduction

• About This Course
• Prerequisites
• How to Use this Course
• Topic Durations

Setting up your Training Environment

Introduction to Data Quality

• 1 - Why is Data Quality Important?
• 2 - The Characteristics of High Quality Data
• 3 - Typical Data Quality Issues
• 4 - A Data Quality Methodology

Essential Data Quality Functionality

• 1 - Profiling
• 2 - Auditing
• 3 - Transforming
• 4 - Parsing
• 5 - Matching

Other Key Features

Further Data Quality Capabilities

• 1 - Address Verification
• 2 - Case Management

Integration

• 1 - Integration With Customer Hubs and CRM Systems
• 2 - Integration With Oracle Data Integrator

Architecture and Deployment Options

• 1 - EDQ's Architecture
• 2 - Deployment Options
• 3 - High Availability & Scalability

Course Evaluation

Useful Web-Based Resources