Methods and Systems for Assessing Data Quality

摘要

Methods and systems for assessing data involve, collecting samples of data elements from a database storing a population of data elements representing attributes of each numerous different financial transactions. Critical data elements from the collected samples are determined. Data quality rules are built and data dimensions are calculated for the critical data elements. A quality of data within the critical data elements for different data quality dimensions is monitored. Critical data elements that produce a high number of outliers are identified and causes for the outliers are identified. Thereafter, a corrective action plan to address a solution for the causes for the outliers may be developed and executed.