According to the CRISC Review Manual1, data selection is the process of choosing the appropriate data sources and variables for data analysis. Data selection is the most critical step in data analytics, as it determines the quality and validity of the results and insights derived from the analysis. Incorrect data selection is the greatest risk associated with the use of data analytics, as it can lead to inaccurate, incomplete, irrelevant, or biased outcomes that can adversely affectthe decision making and performance of the organization. Incorrect data selection can also cause legal, regulatory, ethical, or reputational issues for the organization, if the data used for analysis is not authorized, reliable, or compliant. References = CRISC Review Manual1, page 255.