
The foundation of any data-driven decision-making process rests on the assurance that the data at hand is accurate and reliable. Subpar data quality can lead to misguided insights and faulty conclusions. Therefore, it is critical for businesses to enforce rigorous data quality management practices. Techniques like data validation ensure that the information captured meets predefined criteria, while profiling helps establish










