Data Quality Problems Can Cascade When:?
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Data quality problems can cascade when data is used to make decisions or inform analysis. As errors accumulate, they can lead to incorrect results and incorrect conclusions. Poor data quality can also lead to an inefficient process, as more time is required to verify the accuracy of the data. This can lead to additional costs in terms of resources and time, as well as missed opportunities if the erroneous data was used to inform decisions.