Poor-quality data can lead to a 20 percent decrease in productivity and a 30 percent increase in costs, averaging multiple million USD per year.
The consequences of working with bad data are serious, ranging from diminished customer loyalty, lost revenue, and wasted resources to uninformed decision-making and missed opportunities.
Read this article to learn more about the importance of investing in effective and efficient data quality management.
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