Contact Data Quality Modernization Efforts Within Government Agencies
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Contact Data Quality Modernization Efforts Within Government Agencies

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Experian QAS reviews the results of our November 2010 government research, highlights interesting trends in the government space and provides tips for improving data quality for government ...

Experian QAS reviews the results of our November 2010 government research, highlights interesting trends in the government space and provides tips for improving data quality for government agencies.

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Contact Data Quality Modernization Efforts Within Government Agencies Contact Data Quality Modernization Efforts Within Government Agencies Presentation Transcript

  • Contact Data Quality Modernization EffortsWithin Government AgenciesThursday, January 20th, 2011 Teleconference #: 1-866-288-9872 Passcode: 535831© 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.
  • Welcome!Introductions and Overview of Today’s Session 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 © Experian Limited 2008. All rights reserved. Confidential and proprietary. 2
  • Why did we do this survey? 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? © Experian Limited 2008. All rights reserved. Confidential and proprietary. 3 View slide
  • 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 © Experian Limited 2008. All rights reserved. Confidential and proprietary. 4 View slide
  • 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 © Experian Limited 2008. All rights reserved. Confidential and proprietary. 5
  • Impacts of inaccurate contact data quality Inaccurate contact data impacts government agency’s ability to:  Provide services  Collect revenue  Enforce local law © Experian Limited 2008. All rights reserved. Confidential and proprietary. 6
  • Why are agencies maintaining contact data? Reasons for maintaining contact data include:  Cost Savings  Increased Efficiency  Constituent Service Distribution  Constituent Satisfaction  Collection © Experian Limited 2008. All rights reserved. Confidential and proprietary. 7
  • Is your contact data quality accurate? Common data accuracy errors reported:  Missing or incomplete data  Outdated information  Incorrect data  Duplicate data  Typos © Experian Limited 2008. All rights reserved. Confidential and proprietary. 8
  • Are there common road blocks to obtainingaccurate 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 © Experian Limited 2008. All rights reserved. Confidential and proprietary. 9
  • Steps to incorporate contact data tools intomodernization efforts1. Understand your database2. Clean existing data3. Remove duplicate records4. Verify data during all capture processes5. Enhance and update data © Experian Limited 2008. All rights reserved. Confidential and proprietary. 10
  • 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 © Experian Limited 2008. All rights reserved. Confidential and proprietary. 11
  • QASProducts & services Real-time verification Clean & enhance Address Clean  QAS Pro (PC Based)  QAS Batch (PC Based)  QAS Pro On Demand (Software as a Service)  QAS Bulk Processing (Web Based)  QAS Pro Web (Web Based)  Phone & Email Batch  QAS Pro API (Service) (Integration Toolkit) Enhance Phone and Email  QAS De-duplification tool  QAS Phone (Service)  NCOALink® (Service)  QAS Email (Service) © Experian Limited 2008. All rights reserved. Confidential and proprietary. 12
  • Please visit www.qas.com for more information. © Experian Limited 2008. All rights reserved. Confidential and proprietary. 13