Abstract: A third party facilitates exchange of customer data between first and second entities while maintaining customer privacy. Personally identifiable information (PII) and first entity customer attributes of a first set of customers are received from a first entity. PII for a second set of customers is received from a second entity. First and second set common customers are identified using the PII of the first and the second set of customers. Subsequently, a list of third set of customers is sent to the second entity. The list of third set of customers includes the common customers and a plurality of other customers from the second set of customers. Second entity customer attributes are received for each customer in the list of third set of customers. Further, the first entity customer attributes of the common customers and the second entity customer attributes of the common customers are linked.

Abstract: A third party facilitates exchange of customer data between first and second entities while maintaining customer privacy. Personally identifiable information (PII) and first entity customer attributes of a first set of customers are received from a first entity. PIT for a second set of customers is received from a second entity. First and second set common customers are identified using the PII of the first and the second set of customers. Subsequently, a list of third set of customers is sent to the second entity. The list of third set of customers includes the common customers and a plurality of other customers from the second set of customers. Second entity customer attributes are received for each customer in the list of third set of customers. Further, the first entity customer attributes of the common customers and the second entity customer attributes of the common customers are linked.

Abstract: A third party facilitates exchange of customer data between first and second entities while maintaining customer privacy. Personally identifiable information (PII) and first entity customer attributes of a first set of customers are received from a first entity. PII for a second set of customers is received from a second entity. First and second set common customers are identified using the PII of the first and the second set of customers. Subsequently, a list of third set of customers is sent to the second entity. The list of third set of customers includes the common customers and a plurality of other customers from the second set of customers. Second entity customer attributes are received for each customer in the list of third set of customers. Further, the first entity customer attributes of the common customers and the second entity customer attributes of the common customers are linked.

Abstract: The initial systems analysis of a new data source fully defines each data element and also designs, tests and encodes complete data integration instructions for each data element. A metadata cache stores the data element definition and data element integration instructions. The metadata cache enables a comprehensive view of data elements in an enterprise data architecture. When data is requested that includes data elements defined in a metadata cache, the metadata cache and associated software modules automatically generate database elements to fully integrate the requested data elements into existing databases.

Abstract: The initial systems analysis of a new data source fully defines each data element and also designs, tests and encodes complete data integration instructions for each data element. A metadata cache stores the data element definition and data element integration instructions. The metadata cache enables a comprehensive view of data elements in an enterprise data architecture. When data is requested that includes data elements defined in a metadata cache, the metadata cache and associated software modules automatically generate database elements to fully integrate the requested data elements into existing databases.

Abstract: The initial systems analysis of a new data source fully defines each data element and also designs, tests and encodes complete data integration instructions for each data element. A metadata cache stores the data element definition and data element integration instructions. The metadata cache enables a comprehensive view of data elements in an enterprise data architecture. When data is requested that includes data elements defined in a metadata cache, the metadata cache and associated software modules automatically generate database elements to fully integrate the requested data elements into existing databases.

Abstract: The initial systems analysis of a new data source fully defines each data element and also designs, tests and encodes complete data integration instructions for each data element. A metadata cache stores the data element definition and data element integration instructions. The metadata cache enables a comprehensive view of data elements in an enterprise data architecture. When data is requested that includes data elements defined in a metadata cache, the metadata cache and associated software modules automatically generate database elements to fully integrate the requested data elements into existing databases.

Abstract: The initial systems analysis of a new data source fully defines each data element and also designs, tests and encodes complete data integration instructions for each data element. A metadata cache stores the data element definition and data element integration instructions. The metadata cache enables a comprehensive view of data elements in an enterprise data architecture. When data is requested that includes data elements defined in a metadata cache, the metadata cache and associated software modules automatically generate database elements to fully integrate the requested data elements into existing databases.

Abstract: A third party facilitates exchange of customer data between first and second entities while maintaining customer privacy. Personally identifiable information (PII) and first entity customer attributes of a first set of customers are received from a first entity. PII for a second set of customers is received from a second entity. First and second set common customers are identified using the PII of the first and the second set of customers. Subsequently, a list of third set of customers is sent to the second entity. The list of third set of customers includes the common customers and a plurality of other customers from the second set of customers. Second entity customer attributes are received for each customer in the list of third set of customers. Further, the first entity customer attributes of the common customers and the second entity customer attributes of the common customers are linked.

Abstract: The initial systems analysis of a new data source fully defines each data element and also designs, tests and encodes complete data integration instructions for each data element. A metadata cache stores the data element definition and data element integration instructions. The metadata cache enables a comprehensive view of data elements in an enterprise data architecture. When data is requested that includes data elements defined in a metadata cache, the metadata cache and associated software modules automatically generate database elements to fully integrate the requested data elements into existing databases.