Data Quality Core Concepts

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Data Quality Core Concept XI3.0 enables you to cleanse, standardise, consolidate and enhance records.

In this two day course, delegates will learn about creating, executing and troubleshooting Data Quality jobs using Data Quality specific transforms. These transforms will be used for cleansing address and firm data, and match and consolidate records.

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.

In this two day course, delegates will learn about creating, executing and troubleshooting Data Quality jobs using Data Quality specific transforms. These transforms will be used for cleansing address and firm data, and match and consolidate records.

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 optimize return on investment from enterprise applications.
Who should attend?

This course is designed for individuals responsible for implementing, administering and managing data quality projects.

Delegates will be able to 

  • Cleansing address data.
  • Cleansing name, firm and product data.
  • Matching and consolidating records.

Pre-requisites

Delegates must have attended the following course,

  • SAP BusinesObjects – Data Services Fundamentals
  • SAP BusinessObjects – Data Integrator Transforms

Delegates should have a working knowledge of conventions and basic database concepts.

Additional education

Not applicable for this offering.

Topics covered

  • Cleansing address data
  • Identify the supported formats and types of address data
  • Describe the Address Cleanse transforms in Data Quality
  • Define how to handle address data from different countries
  • Configure an Address Cleanse transform
  • Define how to cleanse transactional data
  • Cleansing name, firm, and product data
  • Explain the benefits of data cleansing
  • Describe the Data Cleanse transforms in Data Quality
  • Define how to handle types of name and firm data
  • Configure a Data Cleanse transform
  • Define the purpose of parsing dictionaries
  • Customise dictionary entries
  • Set-up Universal Data Cleanse for operational data
  • Matching & consolidating records
  • Select a matching strategy
  • Understand match sets, match levels, match criteria and break groups
  • Use Match Wizard to configure the Match transform
  • Describe matching methods
  • Modify the Match transform using the Match Editor
  • Configure post-match processing operations
  • Understand house holding and associative matching

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