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Address: Data Quality Dots on a map improve data quality Author: Peter Benza © 2005
Input Files: ,[object Object],[object Object]
Duplicates ,[object Object],[object Object]
Data Quality: Example ,[object Object],[object Object]
We isolated 4 variations in our customer master. ,[object Object],[object Object],[object Object],[object Object],[object Object]
Analysts Reported: ,[object Object],1 Customer,  Not 4
Using Best Practices: ,[object Object],[object Object]
Imagine The Impact: ,[object Object],[object Object],[object Object],[object Object]
Customer Master: 1 Mile 1,683  Address Points (1 Mile) Multiple Input Databases? Pluralization Phonetic Matching Multiple Languages Vowel Management Initials: First,  Middle, Last Same  Surname Dots Address and Name Frequency First Name
Gonzale xx : 1 Mile Map Symbols “ 7” Have A “J” “ 16” End With EZ  vs. ES “ 22” Families
Assessment Criteria... Pre-Directional Post Directional Suffix Name House Number Primary Address Secondary Address First, Middle, Last Gender Determination Case Management Input Files: Customer Master 1 Customer Master 2 Customer Master 3 Customer Master 4 Customer Master 5 Data Quality  (Errors, Omissions) Address Elements Name Number Of Input Files Factors Considered: Phonetics Languages Match Control Data Enhancement Data Transformation Customer Keys
What Does This Mean? ,[object Object],[object Object],[object Object]
Profiling A Database* Street Address Surname First Name Middle Initial *one mile radius
Data Quality Tools...  ,[object Object]

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Gis Data Quality Profiles 2005

  • 1. Address: Data Quality Dots on a map improve data quality Author: Peter Benza © 2005
  • 2.
  • 3.
  • 4.
  • 5.
  • 6.
  • 7.
  • 8.
  • 9. Customer Master: 1 Mile 1,683 Address Points (1 Mile) Multiple Input Databases? Pluralization Phonetic Matching Multiple Languages Vowel Management Initials: First, Middle, Last Same Surname Dots Address and Name Frequency First Name
  • 10. Gonzale xx : 1 Mile Map Symbols “ 7” Have A “J” “ 16” End With EZ vs. ES “ 22” Families
  • 11. Assessment Criteria... Pre-Directional Post Directional Suffix Name House Number Primary Address Secondary Address First, Middle, Last Gender Determination Case Management Input Files: Customer Master 1 Customer Master 2 Customer Master 3 Customer Master 4 Customer Master 5 Data Quality (Errors, Omissions) Address Elements Name Number Of Input Files Factors Considered: Phonetics Languages Match Control Data Enhancement Data Transformation Customer Keys
  • 12.
  • 13. Profiling A Database* Street Address Surname First Name Middle Initial *one mile radius
  • 14.