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©2016 Experian Information Solutions, Inc. All rights reserved. Experian and the marks used herein are service marks or registered trademarks of
Experian Information Solutions, Inc. Other product and company names mentioned herein are the trademarks of their respective owners.
No part of this copyrighted work may be reproduced, modified, or distributed in any form or manner without the prior written permission of Experian.
Experian Public.
Building a data
hygiene toolkit
Discover the building blocks for
developing a data quality strategy
 Build a culture of data quality excellence
 Enhance your customer experience and satisfaction
 Reduce costs associated with poor data quality
 Eliminate employee rework
 Trust that you’re making business decisions based on accurate data
 Determine those individuals that enter
and use data
 Assign roles and responsibilities in
coordination to short- and long-term
priorities
 Define success and metrics to measure
key performance indicators
 Don’t neglect the data already in your
database. It’s important to check the data
you already have for standardization and
accuracy.
 Validate addresses, emails, and phone
numbers before they enter your
database.
 Append third-party information like
demographic or firmographic data for
real-time marketing and business
intelligence.
 Keep in mind: It’s better to keep up with good data than
catch up with bad data!
Let’s get started!

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Building a data hygiene toolkit

  • 1. ©2016 Experian Information Solutions, Inc. All rights reserved. Experian and the marks used herein are service marks or registered trademarks of Experian Information Solutions, Inc. Other product and company names mentioned herein are the trademarks of their respective owners. No part of this copyrighted work may be reproduced, modified, or distributed in any form or manner without the prior written permission of Experian. Experian Public. Building a data hygiene toolkit Discover the building blocks for developing a data quality strategy
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  • 4.  Build a culture of data quality excellence  Enhance your customer experience and satisfaction  Reduce costs associated with poor data quality  Eliminate employee rework  Trust that you’re making business decisions based on accurate data
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  • 7.  Determine those individuals that enter and use data  Assign roles and responsibilities in coordination to short- and long-term priorities  Define success and metrics to measure key performance indicators
  • 8.  Don’t neglect the data already in your database. It’s important to check the data you already have for standardization and accuracy.
  • 9.  Validate addresses, emails, and phone numbers before they enter your database.
  • 10.  Append third-party information like demographic or firmographic data for real-time marketing and business intelligence.
  • 11.  Keep in mind: It’s better to keep up with good data than catch up with bad data!
  • 12.