Data Quality#
Data quality refers to the accuracy, completeness, consistency, and timeliness of data. Data quality is an important consideration in many fields, as poor data quality can lead to incorrect or misleading conclusions and decision making. There are many factors that can affect the quality of data, such as errors, inconsistencies, and missing values, and there are many techniques and tools that are used to improve data quality. Data quality assessment is the process of evaluating the quality of data, and it typically involves identifying and correcting errors and inconsistencies, as well as filling in missing values. Data quality management is the process of establishing and maintaining high-quality data throughout an organization, and it often involves the use of data quality standards, processes, and tools.