Abstract: Systems and methods for determining and reporting aggregated transaction level data regarding a particular user are disclosed. Based on the requests of one or more information requesters, an aggregator server can request transaction level data for all accounts associated with a particular user or a group of users from a transaction database. The transaction database returns raw transaction level data for accounts associated with the particular user to the aggregator server. The aggregator server can then parse the raw transaction level data based on a number of transaction level data elements and information requester input. The parsed raw transaction level data can then be used to determine the number of predefined or information requester defined transaction level data aggregates. The resulting transaction level data aggregates can then be sent in a report to the one or more information requesters.

Abstract: Systems and methods for determining aggregated transaction level data for specific group characteristics are provided. Aggregated transaction level data can be used for target marketing campaigns by looking at past and potential spending habits of populations with group characteristics specified in the transaction data aggregates. The aggregates can also be used to measure the effectiveness of a particular marketing campaign by correlating the spending patters of a particular group with sales resulting from the campaign.

Abstract: A method is disclosed. The method includes sending bankruptcy notification messages to a plurality of creditors. The bankruptcy notification messages notify the creditors that various debtors have filed for bankruptcy. Requests are received from the plurality of creditors to file proofs of claims for debts owed by the debtors to the creditors with bankruptcy organizations. The requests are aggregated from the plurality of creditors, and the proofs of claims are filed with the bankruptcy organizations.

Abstract: A method for assigning a value to a debt is disclosed. The method includes entering, into a digital computer, bankruptcy data associated with a bankruptcy proceeding after a debtor has filed for bankruptcy. The bankruptcy data may include priority claim data associated with priority claims, non-precedence claim data associated with non-precedence claims, and bankruptcy plan data. After the bankruptcy data are obtained, the digital computer determines a present value associated with at least one non-precedence claim in the non-precedence claims.

Abstract: Systems and methods for determining and reporting aggregated transaction level data regarding a particular user are disclosed. Based on the requests of one or more information requesters, an aggregator server can request transaction level data for all accounts associated with a particular user from a transaction database. The transaction database returns raw transaction level data for all accounts associated with the particular user to the aggregator server. The aggregator server can then parse the raw transaction level data based on a number of transaction level data elements and information requester input. The parsed raw transaction level data can then be used to determine the number of predefined or information requester defined transaction level data aggregates. The resulting transaction level data aggregates can then be sent in a report to the one or more information requesters.

Abstract: A method for assigning a value to a debt is disclosed. The method includes entering, into a digital computer, bankruptcy data associated with a bankruptcy proceeding after a debtor has filed for bankruptcy. The bankruptcy data may include priority claim data associated with priority claims, non-precedence claim data associated with non-precedence claims, and bankruptcy plan data. After the bankruptcy data are obtained, the digital computer determines a present value associated with at least one non-precedence claim in the non-precedence claims.

Abstract: Systems and methods for determining aggregated transaction level data for specific group characteristics are provided. Aggregated transaction level data can be used for target marketing campaigns by looking at past and potential spending habits of populations with group characteristics specified in the transaction data aggregates. The aggregates can also be used to measure the effectiveness of a particular marketing campaign by correlating the spending patters of a particular group with sales resulting from the campaign.

Abstract: A method for assigning a value to a debt is disclosed. The method includes entering, into a digital computer, bankruptcy data associated with a bankruptcy proceeding after a debtor has filed for bankruptcy. The bankruptcy data may include priority claim data associated with priority claims, non-precedence claim data associated with non-precedence claims, and bankruptcy plan data. After the bankruptcy data are obtained, the digital computer determines a present value associated with at least one non-precedence claim in the non-precedence claims.

Abstract: Systems and methods for determining and reporting aggregated transaction level data regarding a particular user are disclosed. Based on the requests of one or more information requesters, an aggregator server can request transaction level data for all accounts associated with a particular user from a transaction database. The transaction database returns raw transaction level data for all accounts associated with the particular user to the aggregator server. The aggregator server can then parse the raw transaction level data based on a number of transaction level data elements and information requester input. The parsed raw transaction level data can then be used to determine the number of predefined or information requester defined transaction level data aggregates. The resulting transaction level data aggregates can then be sent in a report to the one or more information requesters.

Abstract: Systems and methods for determining and reporting aggregated transaction level data regarding a particular user are disclosed. Based on the requests of one or more information requesters, an aggregator server can request transaction level data for all accounts associated with a particular user or a group of users from a transaction database. The transaction database returns raw transaction level data for accounts associated with the particular user to the aggregator server. The aggregator server can then parse the raw transaction level data based on a number of transaction level data elements and information requester input. The parsed raw transaction level data can then be used to determine the number of predefined or information requester defined transaction level data aggregates. The resulting transaction level data aggregates can then be sent in a report to the one or more information requesters.

Abstract: Systems and methods for providing aggregated transaction level data for a particular user to multiple information requesters are disclosed. Subkeys are assigned to user inquiries from multiple information requesters and a super key is assigned to those subkeys to link them to one or more user identifiers such as a username or Social Security number. Account level data is provided based on the super key and the user identifiers. Duplicate requests for aggregated transaction level data contained in the user inquiries can be deleted. User inquiry response files containing transaction level aggregate data can be sent to the information requesters based on the assigned subkeys.

Abstract: A method is disclosed. The method includes sending bankruptcy notification messages to a plurality of creditors. The bankruptcy notification messages notify the creditors that various debtors have filed for bankruptcy. Requests are received from the plurality of creditors to file proofs of claims for debts owed by the debtors to the creditors with bankruptcy organizations. The requests are aggregated from the plurality of creditors, and the proofs of claims are filed with the bankruptcy organizations.

Abstract: A method is disclosed. The method includes creating a document object model, where the document object model models document objects on a document. The document object model is reviewed, and after reviewing the document object model, a code version is selected from a library of code versions.

Abstract: A method for assigning a value to a debt is disclosed. The method includes entering, into a digital computer, bankruptcy data associated with a bankruptcy proceeding after a debtor has filed for bankruptcy. The bankruptcy data may include priority claim data associated with priority claims, non-precedence claim data associated with non-precedence claims, and bankruptcy plan data. After the bankruptcy data are obtained, the digital computer determines a present value associated with at least one non-precedence claim in the non-precedence claims.