Data Quality

Data Quality

Data quality represents how well data fits its intended use, across dimensions such as accuracy, completeness, timeliness, consistency and uniqueness. Poor quality undermines decision-making and can create regulatory risk. The consensus is that data quality is a continuous process, not a one-off cleanse, and is tightly linked to resilience, because bad data can spread quickly through integrated systems and is hard to unwind.