The Ultimate Guide to Modern Data Quality Management (DQM) For An Effective Data Quality Control Driven by The Right Metrics
Datapine Blog
SEPTEMBER 29, 2022
Save time and money : As you will see throughout this insightful post, the consequences of using bad quality data to make important business decisions can not only lead to a waste of time in inefficient strategies but to an even higher loss in money and resources. billion lost each year to low-quality data. 5 – Data repair. million a year.
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