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  • A must to avoid: Worst practices in enterprise data governance

    Consultant Rick Sherman details 10 common data governance mistakes that can send governance initiatives down the wrong path – the one to failure. 

  • How to use the data governance model for business success

    In this book excerpt, learn about the seven styles of communications of a data governance body and how to use the data governance model to make your business a success. 

  • Thirteen causes of enterprise data quality problems

    Find out which 13 processes are most likely to cause enterprise data quality management problems, and learn how to deal with them. 

  • Data governance and data stewardship strategies and best practices

    This chapter examines key steps of a generic data governance strategy program as it may apply to the CDI Data Hub and discusses the concept of data stewards and their role in assessing, improving and managing data quality. 

  • Data governance: Information ownership policies and roles explained

    Who owns the data? This chapter defines information ownership boundaries and best practices, and outlines the specific roles and responsibilities of all involved in the battle for data governance. 

  • Data quality management: Problems and horror stories

    Data quality management is not easy, as is evidenced by these true horror stories of data quality gone wrong. Learn from (and wince at) these mistakes to avoid problems with your own data quality projects. 

  • Top five data management buzzwords

    Here you can find clear definitions of the top buzzwords in enterprise data management, including service-oriented architecture (SOA), master data management (MDM), customer data integration (CDI), data governance and compliance. 

  • Data quality issues management

    Identifying data quality issues is only the first step in solving them. In this chapter, Jack Olson explains the need for a data quality assurance management system -- one that asesses the impact and causes of poor data quality. 

  • Data quality assurance

    This chapter outlines the basic elements of a data quality assurance program. It focuses on data accuracy, a single dimension of data and information quality. 

  • 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... 

  • data governance (DG)

    Data governance (DG) refers to the overall management of the availability, usability, integrity, and security of the data employed in an enterprise. A sound data governance program includes a governing body or council, a defined set of procedures, an... 

  • data

    In computing, data is information that has been translated into a form that is more convenient to move or process. In other contexts, data has somewhat different meanings. 

About Data stewardship

Whether you're a long-time data steward, or curious about the answer to the question -- what is data stewardship? -- find many data stewardship resources and tutorials right here. Learn the roles and responsibilities of data stewards and find out the importance of data stewardship in maintaining data quality. And, read data stewardship case studies with best practices and practical advice from end-users.