Room for Improvement in Data Quality, Report Says

A new study commissioned by Trifacta is shining the light on the costs of poor data quality, particularly for organizations implementing AI initiatives. The study found that dirty and disorganized data are linked to AI projects that take longer, are more expensive, and do not deliver the anticipated results. As more firms ramp up AI initiatives, the consequences of poor data quality are expected to grow. The relatively sorry state of data quality is not a new phenomenon. Ever since humans started recording events, we've had to deal with errors.