Data quality management in CRM
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Data quality management in CRM


Looking for information on data quality management in CRM? Visit this section for quality management news articles and data quality market research. Read about trends in data quality management and the data quality market, plus find news and market research on data quality. Read case studies to understand how organizations are managing data quality. Learn how to avoid data quality issues, the cost of data quality problems and how to handle violations. Also find information on customer data mining and matching customer data.
IN THIS TOPIC:  NEWS (29) , EXPERT TECHNICAL ADVICE (11) , REFERENCE & LEARNING (4) , WHITE PAPERS , BEST WEB LINKS (1) , DEFINITIONS (3)

MUST READ
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Data Quality 101: What Everyone Needs to Know
WEBCAST - Leading data quality expert Thomas C. Redman, the Data Doc, summarizes what everyone needs to know about managing and improving data quality.
Data quality market evolves as interest ramps up
ARTICLE - The data quality market has seen some consolidation in recent years and, as bad data continues to haunt the enterprise, that should continue.

  NEWS: 1 - 3 of 29
Peachtree Data uses SAP BOBJ Data Services to clean up mailing lists
SearchDataManagement.com | 01 Jul 2009
ARTICLE - For the last 14 months, Peachtree Data has been using SAP BOBJ Data Services, a data quality and data integration suite, to clean up its clients' customer mailing lists.
Jigsaw offers corporate data free of charge, partners with SaaS CRM
SearchCRM.com | 04 Jun 2008
ARTICLE - Seeking to take on Hoovers, the user-generated contact database Jigsaw is offering corporate data free of charge and partnering with on-demand CRM vendors.
Customer data crucial to consolidating CRM
SearchCRM.com | 15 Aug 2007
ARTICLE - Mergers and acquisitions can result in a tangle of CRM systems and customer information. One consulting firm relied on its partner and careful change management to get through.
VIEW ALL NEWS ON DATA QUALITY MANAGEMENT IN CRM

  EXPERT TECHNICAL ADVICE: 1 - 3 of 11
DATA QUALITY MANAGEMENT IN CRM EXPERTS
Jill Dyché
Partner and co-founder
ASK A QUESTION
Customer database management tips for the customer-centric company
25 Mar 2009
EXPERT ANSWER - Find out what steps to take before establishing customer database management tactics in this expert tip. Learn how to uncover customer needs and wants.
Data quality management: Handling violations, part 2
Submitted By: William McKnight, Contributor | 09 May 2002
TIP - A typical data quality error involves columns that should only contain data if certain data values are present elsewhere.
Data quality management: Handling violations, part 2
09 May 2002
TIP - A typical data quality error involves columns that should only contain data if certain data values are present elsewhere.
VIEW ALL EXPERT TECHNICAL ADVICE ON DATA QUALITY MANAGEMENT IN CRM

  REFERENCE & LEARNING: 1 - 3 of 4
Who says tech people can't be wordsmiths?
SearchCRM.com editorial staff | 02 Dec 2005
IT SNIGLETS - In the spirit of The Washington Post Style Invitational, SearchCRM.com has dreamt up a bunch of CRM IT sniglets.
Data Quality Quiz
SearchCRM.com | 08 Jul 2004
QUIZ - Think you know everything there is to know about data quality? Test your knowledge with ten data quality questions from SearchCRM.com.
Bad data is bad for business
11 Jun 2004
FEATURED TOPIC - Gartner says 25% of critical data within Fortune 1000 companies will be inaccurate through 2007. What's the solution? Learn more in this week's featured topic.
VIEW ALL REFERENCE & LEARNING ON DATA QUALITY MANAGEMENT IN CRM

  WHITE PAPERS
A Technical Review of Caching Technologies
Published by: Blue Coat | 29 Jun 2009
WHITE PAPER - The goal of this white paper is to discuss the role of caching, describe in detail how object caching and byte caching works, and show how these caching technologies work together to deliver true performance differentiation.
The State of Data: Harnessing Core Data Issues to Improve Organizational Efficiency, Profitability and Competitive Advantage
Published by: SAS Institute Inc. | 25 Jun 2009
WHITE PAPER - This Tech Briefing presents a series of insightful, timely articles that strike at the heart of data quality and data integration challenges. Included here is a close look at harnessing the exploding volumes of unstructured and semistructured data, which so many companies are struggling to tame and leverage for true business value.
Data Best Practices for Spend Analysis
Published by: DataFlux Corporation | 18 Jun 2009
WHITE PAPER - Corporate sourcing and procurement organizations should always look for opportunities to introduce efficiencies, reduce costs, as well as negotiate desirable terms with vendors and suppliers. In this paper, we look at the business drivers and organizational objectives of a spend analysis program.
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  BEST WEB LINKS: 1 - 1 of 1
Customer data integration and data quality
SearchCRM.com | 25 Aug 2008
RESOURCE CENTER - Browse our collection of customer data integration and data quality news, tips and other resources to help you capture, manage and analyze customer data in your organization.
VIEW ALL BEST WEB LINKS ON DATA QUALITY MANAGEMENT IN CRM

  DEFINITIONS: 1 - 3 of 3
dirty data
21 Sep 2004
WORD - In a data warehouse, dirty data is a database record that contains errors. Dirty data can be caused by a number of factors including duplicate records, incomplete or outdated data, and the improper parsing of record fields ...
trouble ticket
01 Oct 2003
WORD - A trouble ticket (sometimes called a trouble report) is a mechanism used in an organization to track the detection, reporting, and resolution of some type of problem. Trouble ticketing systems originated in manufacturing as a ...
cooked data
04 Feb 2003
WORD - Cooked data is raw data after it has been processed - that is, extracted, organized, and perhaps analyzed and presented - for further use.
VIEW ALL DEFINITIONS ON DATA QUALITY MANAGEMENT IN CRM

SEE ALSO - Topics Related to Data quality management in CRM: 
Customer privacy and data security, Customer data integration and CRM, Data governance, CRM analytics and business intelligence



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