Abstract: The data constraint framework solution of the present invention addresses data quality issues by standardizing, verifying, matching, consolidating and merging data records using powerful inexact matching logic and search reduction technologies. The data conditioning framework uses these technologies to more efficiently condition data to improve the quality of data and/or resolve quality data issues such as incomplete, inaccurate and duplicate data records. For example, the data conditioning framework is used to “cleanse” incorrect, incomplete and duplicate data from a data source, such as an information system.
Abstract: The data constraint framework solution of the present invention addresses data quality issues by standardizing, verifying, matching, consolidating and merging data records using powerful inexact matching logic and search reduction technologies. The data conditioning framework uses these technologies to more efficiently condition data to improve the quality of data and/or resolve quality data issues such as incomplete, inaccurate and duplicate data records. For example, the data conditioning framework is used to “cleanse” incorrect, incomplete and duplicate data from a data source, such as an information system.