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SAP Data Services - Data Quality Management (DS30)

  • Length 2 days
  • Price  $2332 inc GST
Course overview
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Why study this course

In this two-day instructor-led course you will learn about cleansing and standardising address data and non-address data such as names and phone numbers, and matching and consolidating records. You will also learn how to parse data from unstructured text such as emails to provide useful and reportable data.

As a business benefit, by being able to create efficient data quality projects, you can use the transformed data to help improve operational and supply chain efficiencies, enhance customer relationships, create new revenue opportunities, and optimise return on investment from enterprise applications.

This course is based on software release:

  • SAP Data Services 4.2

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What you’ll learn

This course will prepare you to:

  • Use Address Cleanse Transforms to parse, standardise, cleanse and enhance address records

  • Use Data Cleanse Transforms to parse, standardise, 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


SAP at Lumify Work

Develop your SAP empowered employees with Lumify Work. Getting the right skills in place maximises the chance of project success and removes risk. Lumify Work provides a select range of SAP training courses for SAP S/4HANA, SAP HANA, SAP BusinessObjects and more. Lumify Work can work with you to navigate the curriculum and help you create a learning plan that will ultimately boost technology proficiency across your organisation.

Who is the course for?

  • Application Consultant

  • Business Analyst

  • Data Consultant / Manager

  • User

Course subjects


  • Define Data Quality Management

Data Quality Transforms

  • Defining Data Quality Processes

Address 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




  • None


Lumify Work offers certification and training through our partnership with SAP Inc. This arrangement requires Lumify Work to provide your details to SAP Inc for course and/or exam registration purposes.

Terms & Conditions

The supply of this course by Lumify Work is governed by the booking terms and conditions. Please read the terms and conditions carefully before enrolling in this course, as enrolment in the course is conditional on acceptance of these terms and conditions.

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