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Data Quality is the measure of how useful and trustworthy data is for decision-making. It shows whether the data is accurate, complete, consistent, timely, and relevant. In simple terms, data quality tells us if the information we are using is reliable enough to draw insights, make predictions, or run business processes effectively. High-quality data reduces errors, increases efficiency, and builds confidence in the results.

AI and machine learning projects are no different than any other form of technology project, in that they require governance, clearly defined processes, and accountability throughout the project.