Data stewardship

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  • Enterprise data management trends 2007: Predictions from different perspectives

    We asked three experts on enterprise data management trends to give us their predictions for 2007. Each has a different perspectives on the industry. 

  • Why data governance projects fail

    Expert Rick Sherman discloses the top reasons why 90% of data governance projects are doomed for failure. Read his advice to make sure that your projects are not! 

  • Data governance requires checks and balances, Gartner says

    Gartner predicts that 90% of organizations will fail at their first attempts at data governance. An analyst outlines a data governance structure that includes checks and balances. 

  • Q&A: Deborah Henderson, new DAMA Foundation president

    Deborah Henderson was elected the new president of the Data Management Association (DAMA) Foundation in July 2006. Henderson is an information governance architect with CapGemini at General Motors and has been a member of DAMA since 1992. Like all me... 

  • Data governance: How to maximize data stewardship

    Data governance expert Craig Mullins outlines how to achieve effective data stewardship. 

  • Universal data availability in the enterprise

    Universal data availability, is it a good idea for business? 

  • Rogue data management

    Every company or organization has some of its key data assets managed outside of its business systems. While most companies are permeated with "rogue data", this type data is often difficult to find, and even harder to manage. 

  • Moving customer data quality upstream

    Companies should move data quality controls "upstream" to save money, retain customers, and mitigate clean-up efforts, one expert says. 

  • Special report: Data quality

    This SearchDataManagement.com special report helps you better manage and leverage your company's data. 

  • Data quality guide

    Here you'll find articles, white papers, advice and resources to help you better manage and leverage your company's data. From an introduction to data quality-related terms to understanding the innovations in tools and technology, this is your best r...