Abstract: Embodiments of the present invention assist in the development, management, and deployment of aggregated data attributes for multiple data sources. One embodiment provides a development interface that allows for elements of attributes, including filters, to be moved into a coding area in which an attribute or an attribute element is being edited. In another embodiment, the user interface presents data fields to assist in the development of filters for multiple data sources with divergent formats. The application further provides a validation interface through which users can validate attributes and trace the results returned by various elements referenced by the attributes under validation. Another embodiment provides a system for managing attributes and deploying them to various systems by creating a deployment file that is used by an attribute calculation system. In one embodiment, the attribute calculation system is a scalable system that dynamically calculates attributes for multiple data sources.

Abstract: Embodiments of a system and method are described for generating a finance attribute. In one embodiment, the systems and methods retrieve raw tradeline data from a plurality of credit bureaus, retrieve industry code data related to each of the plurality of credit bureaus, determine one or more tradeline leveling characteristics that meet at least one pre-determined threshold, and generate a finance attribute using the selected leveling characteristics.

Abstract: In one embodiment, a server architecture is disclosed that provides for processing and analyzing data received from data furnishers to evaluate quality of the provided data. The system may format the data received from the data furnishers into standardized form. Based on configuration information and rules for the data furnishers and the provided data, the system may analyze the data set to calculate one or more data quality indicators.

Abstract: Embodiments of system are disclosed in which selection strategies for a direct marketing campaign that identify consumers from a credit bureau or other consumer database can be planned, tested, and/or refined on a stable subset of the credit database. In some embodiments, once refined, consumer selection criteria may be used to execute the direct marketing campaign on the full consumer/credit database, which is preferably updated approximately twice weekly. In one preferred embodiment, the data for the test database represents a random sampling of approximately 10% of the full database and the sampling is regenerated approximately weekly in order to provide a stable set of data on which campaign developers may test their campaign. For each consumer in the sampling, the environment may allow a client to access and use both attributes calculated by the credit bureau and proprietary attributes and data owned by the client.

Abstract: The systems and methods described herein allow consumers to lock or unlock their credit files at multiple credit bureaus in real-time or near real-time. The service may allow a consumer to provide identifying information, such as a personal identifier to lock or unlock credit files at a plurality of credit bureaus over a network. Upon receiving the personal identifier, the system may use the personal identifier to translate the identifier into a plurality of access codes for respective credit bureaus, for example by accessing a data structure, such as a database or table, that stores a personal identifier and access codes that are associated with a consumer. The system may then use the access codes to automatically initiate locking or unlocking of credit files for the consumer at the respective credit bureaus.

Abstract: The systems and methods described herein allow consumers to lock or unlock their credit files at multiple credit bureaus in real-time or near real-time. The service may allow a consumer to provide identifying information, such as a personal identifier to lock or unlock credit files at a plurality of credit bureaus over a network. Upon receiving the personal identifier, the system may use the personal identifier to translate the identifier into a plurality of access codes for respective credit bureaus, for example by accessing a data structure, such as a database or table, that stores a personal identifier and access codes that are associated with a consumer. The system may then use the access codes to automatically initiate locking or unlocking of credit files for the consumer at the respective credit bureaus.

Abstract: Data filters, models, and/or profiles for identifying and/or predicting the never-pay population (for example, those customers that make a request for credit and obtain the credit instrument but over the life of the account, never make a payment) can be useful to various commercial entities, such as those issuing mortgages, home equity lines of credit, consumer or business lines of credit, automobile loans, credit card accounts, or those entities providing services, such as utility services, phone services, and the like.

Abstract: Systems and methods for analyzing the risk associated with lenders offering vehicle loans is determined based on historical data associated with the vehicle. Vehicle registration data for a region is accessed to determine the vehicles registered in the region and the lien holders of the vehicles. Historical data of the vehicles is accessed and analyzed to determine if any events adversely affecting the value of the vehicles, such as vehicle title brands, are associated with the vehicles. The vehicle history data is associated with the lien holders of the vehicles. A risk value may be determined for each lien holder by comparing the lien holder's total number of liens to those liens on vehicles associated with history events adversely affecting the value of the vehicle.

Abstract: Systems and methods for verifying data including income and employment, assets, healthcare claims, clinical data, and other types of data subject to various regulatory and/or privacy restrictions.

Abstract: Systems and methods are disclosed for electronically determining whether a vehicle is likely to satisfy the requirements of a certified-pre-owned (CPO) vehicle according to a certification program.

Abstract: One embodiment of the system and method described herein provides a vehicle monitoring system that gathers reported data on a selected vehicle and alerts a user to selected events reported for that vehicle. In an embodiment, vehicle attributes are processed into a score for the vehicle, such as representing the likely life remaining, and changes in a score trigger alerts to the user.

Abstract: One embodiment of the system and method described herein provides a vehicle monitoring system that gathers reported data on a selected vehicle and alerts a user to selected events reported for that vehicle. In an embodiment, vehicle attributes are processed into a score for the vehicle, such as representing the likely life remaining, and changes in a score trigger alerts to the user.

Abstract: One embodiment of the system and method described herein provides a vehicle monitoring system that gathers reported data on a selected vehicle and alerts a user to selected events reported for that vehicle. In an embodiment, vehicle attributes are processed into a score for the vehicle, such as representing the likely life remaining, and changes in a score trigger alerts to the user.

Abstract: Systems and methods disclosed allow a permitting party to share personal information with a receiving party. The receiving party may use the information to authenticate the permitting party, assess the permitting party, determine if the permitting party is compatible with one or more other users associated with the receiving party, or validate the permitting party. The permitting party may define how much of the permitting party's personal information is shared, and/or limit the use of the information for one or more specific purposes. A requesting party may also set up criteria for the types of information it wants to review along with the intended use of the information. The systems and methods disclosed also enables permitting parties the ability to grant requesting parties access to requested information.

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 disclosed enable a permitting party to share credit data and/or personal information with a receiving party, such as an individual with whom the permitting party has established a trusted connection. In some embodiments, the permitting party may define how much of the permitting party's personal information or other data is shared. In some embodiments, data sharing may be enabled, in part, by generating an identifier that may be provided to the receiving party in order to access the shared data.

Abstract: Systems and methods are described for identifying a subset of interest from a general population and for monitoring a database of daily activity logs associated with the general population in order to identify database entries indicative of an occurrence of a pre-defined trigger event that is associated with a member of the subset of interest. In particular, systems and methods are described that allow a massive database of daily activity logs to be monitored to identify trigger events that have occurred within the past twenty-four hours or other very recent time period. Embodiments are described that may be advantageously used by a provider of credit-related products and/or services who wishes to accurately target prospective customers, identified by the system, based on occurrence of a trigger event, as being in a decision-making phase of credit shopping, for purposes of making a timely and targeted offering relevant to the customers' current activities.

Abstract: The embodiments illustrated herein provide systems and methods for predicting or identifying early life account fraud at a point-in-time within existing account portfolios. The identity-level linking of inquiry data described herein allow for detecting inconsistent and/or suspicious use of identity data elements across multiple applications that traditional fraud detection systems may consider to be different consumers. The system can be configured to calculate or generate a fraud score after a credit account is booked and/or opened by a financial institution or other third party. Even though the likelihood of fraud is assessed at the time when an applicant applies for credit, there may still be some applicants that successfully pass through authentication and/or fraud tools.