• CIO role could shift toward data quality, says IBM group

    The subprime mortgage crisis illustrates the critical need for enterprises to implement processes for governing data, says IBM Council chairman.

    Marcia Savage1,375 pointsBadges:
  • What is data quality?

    Studies have repeatedly shown data quality to be a killer for an organization?s ability to accomplish CRM objectives.

    wmcknight845 pointsBadges:
  • Be prepared to duel with data quality

    Poor data quality can blindside an organization's business intelligence or data warehouse project. Guest columnist Rick Sherman explains how to avoid common pitfalls that can derail that effort.

    RSHERMAN1415 pointsBadges:
  • Data Quality Quiz

    Test your knowledge with nine data quality questions from SearchCRM.com.

    ITKE376,220 pointsBadges:
  • The importance of data quality for data warehousing and CRM

    Poor data quality can stymie your CRM efforts and even worse, make your company look poorly run and unprofessional. Find out how to keep your data clean and up-to-date.

    ITKE376,220 pointsBadges:
  • Data quality violations, part 4

    We derive data in the data warehouse that does not exist in the raw source data.

    wmcknight845 pointsBadges:
  • Railroad mainstay CSX cleans up data quality issues, launches new CRM

    CSX had to get its data quality house in order before it could launch a new CRM system.

    Albert McKeon380 pointsBadges:
  • A data steward’s job is never done

    Two law firms have taken the problem of dirty data to heart and hired full-time staff to monitor their contact lists.

    Barney Beal5,165 pointsBadges:
  • Expert: Data quality is misunderstood

    While many businesses today have an abundant supply of data, many of them lack good processes for keeping it clean and accurate. Larry English, president of Information Impact International, an information quality consultancy based in Brentwood, Tenn., believes too many companies focus on...

    kglance85 pointsBadges:
  • Acting on data quality in the data warehouse

    Data quality can be a hard thing to grasp. You can't improve what you can't measure.

    wmcknight845 pointsBadges:

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