SAP BusinessObjects: Data Quality Core Concepts XI3.0
Overview
• Cleansing address data
• Cleansing name, firm, and product data
• Matching & consolidating records
Data Quality Core Concept XI3.0 enables you to cleanse, standardise, consolidate and enhance records.
This two day course will teach delegates about cleansing address and firm data, and matching and consolidating records. This will enable delegates to help improve operational and supply chain efficiencies, enhance customer relationships, create new revenue opportunities and optimise return on investment from enterprise applications.
Prerequisites
This course is designed for individuals responsible for implementing, administering, and managing data quality projects. To be successful,…
There are no frequently asked questions yet. If you have any more questions or need help, contact our customer service.
Overview
• Cleansing address data
• Cleansing name, firm, and product data
• Matching & consolidating records
Data Quality Core Concept XI3.0 enables you to cleanse,
standardise, consolidate and enhance records.
This two day course will teach delegates about cleansing address
and firm data, and matching and consolidating records. This will
enable delegates to help improve operational and supply chain
efficiencies, enhance customer relationships, create new revenue
opportunities and optimise return on investment from enterprise
applications.
Prerequisites
This course is designed for individuals responsible for
implementing, administering, and managing data quality projects. To
be successful, delegates who attend this course should have
experience with:
• BusinessObjects Data Services XI3.0/3.1: Core Concepts
• Windows conventions
• Basic database and Data Quality concepts
Course Outline.
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
• Topics covered / modules / course agenda
QA reserves the right to improve the specification and format of
its courses for the benefit of its customers without notice to the
customer.
There are no frequently asked questions yet. If you have any more questions or need help, contact our customer service.
