D91752 – Oracle Enterprise Data Quality 12c: Match and Parse

Module 1: Match Overview

• Discussing Business Examples of Matching
• About the Match Processors
• What Constitues a Match?

Module 2: Oracle Enterprise Data Quality Matching Fundamentals

• Discussing Inputs to Match
• About Mapping Identifiers
• Discussing Fundamentals of Clustering
• Setting up Simple Match Rules
• Browsing Results

Module 3: Match Rule Lists and Fuzzy (inexact) Matching

• Using Multiple Comparisons
• Identifying Fuzzy (inexact) Matches
• Tuning Match Rules

Module 4: Clustering

• Clustering for Performance
• Clustering Strategies
• Tuning Clusters

Module 5: Merge

• Discussing Defaults for Merging
• Merging Options

Module 6: Match Review

• Discussing Review Groups
• About the Match Review Interface

Module 7: Customer Data Extension Pack Match Processors

• About the Match Entities processor
• About the Match Individuals processors
• About the Match Households processor

Module 8: Match Case Studies

• Enhancing Records
• Describing Deduplication

Module 9: Introduction to Case Management

• Overview of Case Management

Module 10: Address Verification

• Overview of Address Verification
• Using the Address Verification Processor
• About Accuracy flags: Interpreting Address Verification Results

Module 11: Standardizing Data

• Overview of Standarization
• Overview of Simple Standardization
• About the Character Replace and Replace Processors
• About the Pattern Transform and RegEx Replace Processors
• About the Merge Processor
• Overview of Transliteration Capabilities

Module 12: Introduction to the Customer Data Servcies Pack

• Customer Data Services Pack Overview

Module 13: Parse Overview

• About Business Uses of Parsing
• Parsing in Oracle Enterprise Data Quality

Module 12: The Phrase Profiler

• Using the Phrase Profiler
• Identifying Common Words and Phrases
• Identifying Misplaced Data

Module 13: Tailoring a Customer Data Extenstion Pack Parse Profiler- Part I

• Understanding Tokenization
• Using the Classify sub processor

Module 14: Tailoring a Customer Data Extenstion Pack Parse Profiler- Part II

• Using the Reclassify sub processor
• Classification vs. Reclassification

Module 13: Tailoring a Customer Data Extenstion Pack Parse Profiler – Part III

• Using the Select sub processor
• Using the Resolve sub processor
• Creating Exact and Fuzzy Resolution Rules