Data quality is of utmost importance as it reflects the condition of data and its significant connection to business operations, especially in the era of data-driven decision-making. Evaluating the dependability, precision, coherence, and entirety of data is essential to guarantee its accuracy, free from errors, duplicates, and inconsistencies, and suitable for its intended purpose. Without ensuring data quality, organizations across various sectors, be it business or healthcare, encounter numerous obstacles as they heavily rely on data to streamline their decision-making processes.