Abstract: A computerized system automatically ensures that data from a data partner has been ethnically sourced. The system reviews websites associated with URLs provided by the data provider, and privacy policy data is extracted and captured. A keyword set is used to analyze the privacy terms of websites associated with the URLs. URLs associated with websites that ethically collect data are stored in a URL database, or the URLs are given a flag or score, such that these URLs need not be checked each time a new data partner identifies these URLs as the source of its data. The system may periodically re-check the URLs to ensure that no changes have been made to the corresponding website's data collection practices.

Abstract: A computerized system automatically ensures that data from a data partner has been ethnically sourced. The system reviews websites associated with URLs provided by the data provider, and privacy policy data is extracted and captured. A keyword set is used to analyze the privacy terms of websites associated with the URLs. URLs associated with websites that ethically collect data are stored in a URL database, or the URLs are given a flag or score, such that these URLs need not be checked each time a new data partner identifies these URLs as the source of its data. The system may periodically re-check the URLs to ensure that no changes have been made to the corresponding website's data collection practices.

Abstract: A computerized system automatically ensures that data from a data partner has been ethically sourced. The system reviews websites associated with URLs provided by the data provider, and privacy policy data is extracted and captured. A keyword set is used to analyze the privacy terms of websites associated with the URLs. URLs associated with websites that ethically collect data are stored in a URL database, or the URLs are given a flag or score, such that these URLs need not be checked each time a new data partner identifies these URLs as the source of its data. The system may periodically re-check the URLs to ensure that no changes have been made to the corresponding website's data collection practices.

Abstract: A recognition quality management system and method is used to determine a final group quality grade (FGQG) for a database containing data structures pertaining to objects, where the FGQG is a single numeric score indicative of the quality of the recognition that has occurred within the database. The FGQG is calculated using a weighted algorithm incorporating at least three components: a string quality score (SQS) that is determined by a string distance calculation; an input quality score (IQS) that is determined from address confidence codes; and a link quality score (LQS) that evaluates a key field to determine grouping quality. The system and method allows for the determination of recognition quality across an entire database rather than using sampling and extrapolation, and thus leads to a higher quality result, and because the system and method is objective it allows comparison of recognition quality across competing recognition quality solutions.

Abstract: A computerized system automatically ensures that data from a data partner has been ethically sourced. The system reviews websites associated with URLs provided by the data provider, and privacy policy data is extracted and captured. A keyword set is used to analyze the privacy terms of websites associated with the URLs. URLs associated with websites that ethically collect data are stored in a URL database, or the URLs are given a flag or score, such that these URLs need not be checked each time a new data partner identifies these URLs as the source of its data. The system may periodically re-check the URLs to ensure that no changes have been made to the corresponding website's data collection practices.

Abstract: A recognition quality management system and method is used to determine a final group quality grade (FGQG) for a database containing data structures pertaining to objects, where the FGQG is a single numeric score indicative of the quality of the recognition that has occurred within the database. The FGQG is calculated using a weighted algorithm incorporating at least three components: a string quality score (SQS) that is determined by a string distance calculation; an input quality score (IQS) that is determined from address confidence codes; and a link quality score (LQS) that evaluates a key field to determine grouping quality. The system and method allows for the determination of recognition quality across an entire database rather than using sampling and extrapolation, and thus leads to a higher quality result, and because the system and method is objective it allows comparison of recognition quality across competing recognition quality solutions.