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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.
Must read
- 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:
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A guide to using customer data and analytics tools for customer loyalty
01 Sep 2009
News - After years of collecting customer data, companies have a wealth of information about who their customers are and who's loyal, but finding and managing that data is daunting.
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Leveraging customer data to maintain customer loyalty obvious, not easy
01 Sep 2009
Article - After years of collecting customer data, companies have a wealth of information about who their customers are and who's loyal, but finding and managing that data is a daunting task.
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Voices of CRM: Jill Dyché on managing customer data, social networks
Voices of CRM blog
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27 Jul 2009
News - Jill Dyché, an expert on both data management and CRM, shares her advice on managing customer data, social networks and MDM/CDI in this podcast.
Expert Technical Advice:
1 - 3 of 6CRM Data quality management in CRM Experts
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- Jill Dyche
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Customer database management tips for the customer-centric company
Ask the Expert - Find out what steps to take before establishing customer database management tactics in this expert tip. Learn how to uncover customer needs and wants.
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Data quality management: Handling violations, part 2
Tip - Find out about typical data quality management problems, including an error that involves columns that should only contain data if certain data values are present elsewhere.
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Data quality management: Handling violations, part 1
Tip - Managing data quality requires handling violations with care. William McKnight offers tips on the best ways to minimize errors in data.
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Reference & Learning:
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Customer data integration and data quality
Resource Center - Customer data integration (CDI) can help organizations achieve a unified view of the customer, but data quality management comes with its share of challenges. Browse this collection of customer data integration and data quality news, tips and other...
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Who says tech people can't be wordsmiths?
IT Sniglets - In the spirit of The Washington Post Style Invitational, SearchCRM.com has dreamt up a bunch of CRM IT sniglets.
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Data Quality Quiz
Quiz - Test your knowledge with nine data quality questions from SearchCRM.com.
VIEW ALL Reference & Learning ON Data quality management in CRM
White Papers
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Best Practices for Implementing BI in ERP Centric Environments
Published by: IBM | 04 Nov 2009
eBook - Read this e-book, which is specifically written to address the unique challenges of IT and BI professionals in ERP-centric environments. This set of articles offers best practices and strategic advice for organizations seeking to optimize business intelligence programs.
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Advance Your Data Management: Reduce Cost and Risk through the effective and efficient Management of Master Data
Published by: Atos Origin | 04 Nov 2009
White Paper - Effective and efficient management of master data within the manufacturing sector is a key factor in reducing TCO, providing accurate global spend analysis and improved reporting and decision making. Implementing SAP's Master Data Management solution into an organization enables the backbone of a complete data governance model to be established.
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Spend Analysis: Pulling Back the Cover on Savings
Published by: SAP America Inc | 01 Oct 2008
Analyst Report - As the key findings in this report will show, developing or enhancing a spend analysis program and closing process gaps to ensure tight linkage to the sourcing process are straightforward and practical ways to attain greater savings and deliver greater value in this period of uncertainty and strict budgets.
Definitions:
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dirty data
21 Sep 2004
Word - In a data warehouse, dirty data is a database record that contains errors.
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trouble ticket
12 Sep 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.
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cooked data
03 Feb 2003
Word
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