Abstract: A computer implemented method for ensuring the quality of processed corporate entity data, the method comprising: sequentially processing the corporate entity data through a series of serially connected drivers, the serially connected drivers comprise a data collection driver, an entity matching driver, an identification number driver, a corporate linkage driver, and a predictive indicator driver; and conducting a quality assurance of the corporate entity data as it is processed in each of the driver, wherein the quality assurance comprises: (i) sampling the corporate entity data from each the driver periodically, thereby generating sample data; (ii) evaluating the sample data; and (iii) adjusting the processing based upon the evaluation, thereby producing high quality data.

Abstract: A computer implemented method for ensuring the quality of processed corporate entity data, the method comprising: sequentially processing the corporate entity data through a series of serially connected drivers, the serially connected drivers comprise a data collection driver, an entity matching driver, an identification number driver, a corporate linkage driver, and a predictive indicator driver; and conducting a quality assurance of the corporate entity data as it is processed in each of the driver, wherein the quality assurance comprises: (i) sampling the corporate entity data from each the driver periodically, thereby generating sample data; (ii) evaluating the sample data; and (iii) adjusting the processing based upon the evaluation, thereby producing high quality data.

Abstract: A data integration method involves a unique method of collecting raw business data and processing it to produce highly useful and highly accurate information to enable business decisions. This process includes collecting global data, entity matching, applying an identification number, performing corporate linkage, and providing predictive indicators. These process steps work in series to filter and organize the raw business data and provide quality information to customers. In addition, the information is enhanced by quality assurance at each step in this process to ensure the high quality of the resulting data.

Abstract: A data integration method involves a unique method of collecting raw business data and processing it to produce highly useful and highly accurate information to enable business decisions. This process includes collecting global data, entity matching, applying an identification number, performing corporate linkage, and providing predictive indicators. These process steps work in series to filter and organize the raw business data and provide quality information to customers in a report. In addition, the information is enhanced by quality assurance at each step in this process to ensure the high quality of the resulting report.