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Magic quadrant for data quality solutions

Amplifying analytics for better insights and for making trusted, data-driven decisions

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The data quality management practice has been maturing in recent years and the vendor landscape is focused on addressing many of the market requirements. It covers much more than just technology. It includes workflow, roles, collaboration and processes (such as those for monitoring, reporting and remediating data quality issues). 

As a result, the market for data quality solutions continues to integrate closely with the markets for data integration tools, metadata management solutions, and master data management (MDM) products, all of which are used to build solid foundations with trusted data assets. Users expect effective integration of, and interoperability between, these products.

Download this whitepaper to learn why evaluating and selecting data quality solutions is much less of a specialised IT task than it was formerly. It now requires greater collaboration with business leaders and users.

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