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Data quality management software

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  • Cloud data quality, integration open new vistas for managing data

    Find out what opportunities the cloud could open up for data quality and integration. Advantages: scalability, reduced admin and costs. ETL, as a data quality sweet spot, lends itself to the cloud. 

  • A guide to cloud data management technology and trends

    This guide is designed to provide readers with practical information and advice on trends, issues and developments involving cloud database, data warehousing and data integration technology. 

  • SearchDataManagement.com product directory library

    These product directories are designed to provide information to assist organizations in evaluating and purchasing data management software. Our product directories contain basic information about vendors and products in four specific categories: dat... 

  • Data Quality Management Software Product Directory

    Inside this data quality management software product directory you'll find basic information about the major vendors in the data quality market and the products they sell. Each listing is accompanied by a short description and a long description incl... 

  • 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 quality strategy

    Read this excerpt from Data Strategy written by Sid Adelman, Larissa Moss and Majid Abai to learn about data quality problems and the different types of dirty data. 

  • 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 quality

    In computing, data quality is the reliability and application efficiency of data, particularly when kept in a data warehouse. Data quality assurance (DQA) is the process of verifying the reliability and efficiency of data. 

About Data quality management software

Get current information on data quality management software tools and find out more about the top ranked vendors. Find important information about data quality management market trends that could affect tool selections, and check out articles, analysis and interviews with leading experts and analyst firms such as Gartner and Forrester. Read case studies about how other companies use data quality assurance tools and learn how to evaluate data quality management software tools from leading experts.