The six most used Data Quality dimensions

The six most used Data Quality dimensions Almost every business leader recognises the value of data: for innovation, growth, customer satisfaction, efficiency, and compliance. But data only creates impact when it is trustworthy. That trust depends on Data Integrity: the degree to which data remains accurate, consistent, and reliable across time and systems. Data Integrity […]

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Key Data Quality Management Capabilities

Ensuring and maintaining Data Quality In the digital age, ensuring Data Quality is essential for businesses to make sound decisions and optimize operations. Inaccurate, incomplete, duplicate, and redundant data are all too common in businesses today. According to Gartner’s Data Quality Market Survey, poor Data Quality costs organisations an average of $15 million annually. At

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Data Quality Tools

Data Quality Tools Data Quality is vital for organisations that produce and consume large amounts of data, as outlined in our previous blog. Enterprise-wide data quality management requires a dedicated data quality tool to make sure data is fit for purpose. This blog outlines why you need a data quality tool, what capabilities to look

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