SAP BusinessObjects: Data Quality Core Concepts XI3.0

Level

SAP BusinessObjects: Data Quality Core Concepts XI3.0

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Description

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,…

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Didn't find what you were looking for? See also: SAP, Data Warehouse, Business Intelligence (BI), Microsoft SQL Server, and PL/SQL.

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.

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