Abstract: Systems and methods are provided for processing microfinance-related credit data and generating credit reports based on the processed microfinance credit data. Payment status may be determined for each entry in a payment grid, which may correspond to a payment interval such as, for example, daily, weekly or monthly. Credit reports may be generated with selectable options enabling the user to view at least one other payment grid having entries corresponding to a different payment interval.

Abstract: Systems and methods are provided for processing large volumes of credit-related data and other data, and generating products based on the processed data. Data received from a number of different data sources may be processed in parallel and stored in memory. Reporting rules may be defined in association with each of a number of different accounts. Products, such as credit reports, may then be generated based on one or more rule sets.

Abstract: Systems and methods are provided for enabling a user to select the types of data to be included in a credit reporting product, and for generating credit reports that are configured to be dynamically updated with additional data in response to user selections. In some embodiments, data selectable by a user for inclusion in a credit report or other product may include a variety of data not typically found on traditional credit reports.

Abstract: Systems and methods are provided for enabling a user to select the types of data to be included in a credit reporting product, and for generating credit reports that are configured to be dynamically updated with additional data in response to user selections. In some embodiments, data selectable by a user for inclusion in a credit report or other product may include a variety of data not typically found on traditional credit reports.

Abstract: Systems and methods are provided for processing large volumes of credit-related data and other data, and generating products based on the processed data. Data received from a number of different data sources may be processed in parallel and stored in memory. Reporting rules may be defined in association with each of a number of different accounts. Products, such as credit reports, may then be generated based on one or more rule sets.

Abstract: A portfolio benchmarking system comprises a repository of trade data, a repository of consumer data, a build computer, and a benchmarking query application. The repository of trade data comprises a plurality of data items regarding trade lines. The repository of consumer data comprises a plurality of data items regarding consumers, wherein at least some information in the consumer data is not in the trade data and at least some information in the trade data is not in the consumer data. The build computer periodically generates at least one data file comprising a plurality of data items, each data item combining information from the trade data and the consumer data, such that searches can be performed on the combined data without joining trade data and consumer data at query run time. The benchmarking query application executes queries on the data file generated by the build computer.

Abstract: A portfolio benchmarking system comprises a repository of trade data, a repository of consumer data, a build computer, and a benchmarking query application. The repository of trade data comprises a plurality of data items regarding trade lines. The repository of consumer data comprises a plurality of data items regarding consumers, wherein at least some information in the consumer data is not in the trade data and at least some information in the trade data is not in the consumer data. The build computer periodically generates at least one data file comprising a plurality of data items, each data item combining information from the trade data and the consumer data, such that searches can be performed on the combined data without joining trade data and consumer data at query run time. The benchmarking query application executes queries on the data file generated by the build computer.

Abstract: A portfolio benchmarking system comprises a repository of trade data, a repository of consumer data, a build computer, and a benchmarking query application. The repository of trade data comprises a plurality of data items regarding trade lines. The repository of consumer data comprises a plurality of data items regarding consumers, wherein at least some information in the consumer data is not in the trade data and at least some information in the trade data is not in the consumer data. The build computer periodically generates at least one data file comprising a plurality of data items, each data item combining information from the trade data and the consumer data, such that searches can be performed on the combined data without joining trade data and consumer data at query run time. The benchmarking query application executes queries on the data file generated by the build computer.

Abstract: A portfolio benchmarking system comprises a repository of trade data, a repository of consumer data, a build computer, and a benchmarking query application. The repository of trade data comprises a plurality of data items regarding trade lines. The repository of consumer data comprises a plurality of data items regarding consumers, wherein at least some information in the consumer data is not in the trade data and at least some information in the trade data is not in the consumer data. The build computer periodically generates at least one data file comprising a plurality of data items, each data item combining information from the trade data and the consumer data, such that searches can be performed on the combined data without joining trade data and consumer data at query run time. The benchmarking query application executes queries on the data file generated by the build computer.

Abstract: A portfolio benchmarking system comprises a repository of trade data, a repository of consumer data, a build computer, and a benchmarking query application. The repository of trade data comprises a plurality of data items regarding trade lines. The repository of consumer data comprises a plurality of data items regarding consumers, wherein at least some information in the consumer data is not in the trade data and at least some information in the trade data is not in the consumer data. The build computer periodically generates at least one data file comprising a plurality of data items, each data item combining information from the trade data and the consumer data, such that searches can be performed on the combined data without joining trade data and consumer data at query run time. The benchmarking query application executes queries on the data file generated by the build computer.