Managing Data Quality with SAP Information Steward (DS50v10_DATA SERVICES 4.2)



In this course, you will gain the understanding and skills to use Information Steward to ensure ongoing master data quality. It will also give the more advanced user the understanding and skills to not only perform basic data profiling, but also to build sophisticated validation and cleansing rules and packages based on profiling results to maintain high levels of ongoing data quality. You will explore the lineage of data used across systems while at the same time be able to design and maintain a global company business glossary.

This course is based on software release Data Services 4.2 and SAP Information Steward 4.2.


  • Application consultant
  • Business analyst
  • Business process owner
  • Team lead
  • Power user
  • Data consultant
  • Manager
  • User


  • Basic knowledge of data quality management and metadata management concepts
  • Recommended:

Learning Objectives

  • Create projects, integrate and profile your data, define data validation rules and data quality scorecards to visualize data quality assessment results
  • Integrate metadata from a heterogeneous system environment
  • Build a unified business term glossary
  • Create and maintain your own cleansing packages to improve the data quality of your data

1. SAP Information Steward Overview

  • Identifying Information Steward Advantages and Components

2. Data Insight

  • Manage tables, flat files and Information Steward views
  • Using Data Profiling
  • Using Validation Rules
  • Using Data Quality Advisor
  • Using Scorecards

3. Metadata Management

  • Managing Metadata with Information Steward

4. Information Steward Metapedia

  • Defining Business Terms with Metapedia

5. Information Steward Cleansing Package Builder

  • Defining the Cleansing Package Builder
  • Creating Cleansing Packages
  • Using the Cleansing Package Builder Design Mode
  • Using the Cleansing Package Builder in Advance Mode

6. Using Match Review