Goals

  • Use Address Cleanse Transforms to parse, standardize, cleanse and enhance address records
  • Use Data Cleanse Transforms to parse, standardize, cleanse and enhance data records
  • Use the Match Transform to match and consolidate data records
  • Use the Text Data Processing Entity Extraction Transform to parse unstructured data for analysis and reporting

Audience

  • Application Consultant
  • Business Analyst
  • Data Consultant / Manager
  • User

Prerequisites

Essential

Course based on software release

  • SAP Data Services 4.2

Content

  • Overview: Data Services Data Quality Management
    • Define Data Quality Management
  • Data Quality Transforms
    • Defining Data Quality Processes
  • Use Addresss Cleanse Transforms
    • Preparing Data for Address Cleanse
    • Using Address Cleanse Transforms
  • Data Cleanse Transforms
    • Parsing for Data Cleanse
    • Using Data Cleanse Transforms
  • Match and Consolidate Data
    • Determining the Need for Record Deduplication
    • Using the Match Wizard
    • Configuring the Match Transform
    • Performing Post-Match Processing
    • Consolidating Matching Records
    • Using Advanced Match Strategies
  • Text Data Processing
    • Using Text Data Processing