Contact Data Quality Modernization Efforts Within Government Agencies
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Transcript of Contact Data Quality Modernization Efforts Within Government Agencies
© Experian Limited 2008. All rights reserved. Experian and the marks used herein are service marks or registered trademarks of Experian Limited.
Other product and company names mentioned herein may be 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 Limited.
Confidential and proprietary.
Contact Data Quality Modernization Efforts
Within Government Agencies
Thursday, January 20th, 2011
Teleconference #: 1-866-288-9872
Passcode: 535831
© Experian Limited 2008. All rights reserved.
Confidential and proprietary. 2
Experian QAS reviews the results of our November 2010 government research, highlight interesting trends in the government space and provide tips for improving data quality for government agencies
Today’s speakers:
Matthew Chase
Government Account Manager
Liz MacKenzie
Marketing Programs Specialist, Experian QAS
Questions from the audience
Welcome!Introductions and Overview of Today’s Session
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To answer the following questions:
How do government agencies prioritize data quality among other strategic initiatives?
Are there common database issues that all government organizations face? Do these common issues vary by agency?
How do agencies measure data quality?
Are agencies using data quality to assist in their modernization efforts?
Why did we do this survey?
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What was the research methodology?
November 2010
200 respondents from state and local government agencies
Produced by Global Market Insight
8 agencies surveyed:
Unemployment Insurance
Court and Clerk
Transportation
DMV
Law Enforcement
Elections
Tax and Treasurer
Health and Human Services
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Modernization efforts continue to be widespread
93% of all respondents are currently involved in this type of initiative
Agencies understand the importance of contact data when it comes to their modernization efforts
84% of respondents recognize data management as an essential issue and enforce it
90% of respondents have or are currently working on a contact data management strategy
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Impacts of inaccurate contact data quality
Inaccurate contact data impacts government agency’s ability to:
Provide services
Collect revenue
Enforce local law
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Why are agencies maintaining contact data?
Reasons for maintaining contact data include:
Cost Savings
Increased Efficiency
Constituent Service Distribution
Constituent Satisfaction
Collection
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Is your contact data quality accurate?
Common data accuracy errors reported:
Missing or incomplete data
Outdated information
Incorrect data
Duplicate data
Typos
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Are there common road blocks to obtaining accurate contact data?
YES!
Common barriers with getting a data quality project up and running:
Lack of budget
Awareness of changes
Staff errors
Time
Internal resources
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Steps to incorporate contact data tools into modernization efforts
1. Understand your database
2. Clean existing data
3. Remove duplicate records
4. Verify data during all capture processes
5. Enhance and update data
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Overall trends gained from the research
Data quality is a priority for government agencies
Constituent service distribution is a key reason for data quality
Large amount of resources wasted on inaccurate data
Budget still ranked as key barrier to clean data
Agencies still use manual processes to clean data
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QASProducts & services
Real-time verification Clean & enhance
Clean
QAS Batch (PC Based)
QAS Bulk Processing (Web Based)
Phone & Email Batch(Service)
Enhance
QAS De-duplification tool
NCOALink® (Service)
Address
QAS Pro (PC Based)
QAS Pro On Demand (Software as a Service)
QAS Pro Web (Web Based)
QAS Pro API (Integration Toolkit)
Phone and Email
QAS Phone (Service)
QAS Email (Service)
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Please visit www.qas.comfor more information.