The Data Quality Assessment Manager (DQAM) in the Cloud guides a user through a comprehensive value-level assessment of a given data asset, thus enabling an organization to scale its data quality activities appropriately. The DQAM facilitates the data quality analyst’s ability to competently employ advanced methods within their field. Moreover, by facilitating the collaborative nature of both analysis and sharing of findings both internally and externally, with the broader organizational data community, the DQAM also promotes a team dynamic among the organization’s data quality analysts. Through these two capabilities, the DQAM is capable of doing something that the largest and most expensive tools on the market have yet to accomplish—constitute a normalized and empirical method for identifying data quality anomalies, and making the process more visible and collaborative on a team and enterprise scale.