Abstract: Systems, methods, and apparatus are described herein data extraction and analysis, and more particularly, to the generation of compliant and optimized peer data.

Abstract: A computer-implemented system is configured to, responsive to failure of anonymity threshold criteria of a payment card transaction based dataset including a geographical region definition including solely a first geographical region, query a geographical information service for data indicative of geographical regions neighboring a first geographical region; iteratively query the payment card transaction based dataset using queries modifying the geographical region definition to include the first geographical region and one or more neighboring geographical regions; test returned results against the anonymity threshold criteria; and responsive to a positive test result, generating an approval indication for a data set.

Abstract: An on-demand ecosystem (ODE) computing device for integrating on-demand delivery services with purchase transactions is provided. The ODE computing device receives item data from a registered merchant, and receives availability data from at least one registered carrier. The ODE computing device further provides a searchable interface that enables a user to search for item data from the registered merchant, and receives a selected item from the user via the searchable interface. The selected item is offered for sale by the registered merchant and includes a selected pick-up location. The selected item is to be delivered to the user from the selected pick-up location. The ODE computing device also allows either the registered merchant or the user to select one of the at least one registered carriers, and processes a payment transaction for the selected item including an item price and a delivery fee.

Abstract: A computer-implemented system is configured to, responsive to failure of anonymity threshold criteria of a payment card transaction based dataset including a geographical region definition including solely a first geographical region, query a geographical information service for data indicative of geographical regions neighboring a first geographical region; iteratively query the payment card transaction based dataset using queries modifying the geographical region definition to include the first geographical region and one or more neighboring geographical regions; test returned results against the anonymity threshold criteria; and responsive to a positive test result, generating an approval indication for a data set.

Abstract: An on-demand ecosystem (ODE) computing device for integrating on-demand delivery services with purchase transactions is provided. The ODE computing device receives item data from a registered merchant, and receives availability data from at least one registered carrier. The ODE computing device further provides a searchable interface that enables a user to search for item data from the registered merchant, and receives a selected item from the user via the searchable interface. The selected item is offered for sale by the registered merchant and includes a selected pick-up location. The selected item is to be delivered to the user from the selected pick-up location. The ODE computing device also allows either the registered merchant or the user to select one of the at least one registered carriers, and processes a payment transaction for the selected item including an item price and a delivery fee.

Abstract: A system and method of aggregating merchant data from transaction data, including retrieving a transaction data set from a data warehouse. The transaction data set includes a merchant location identifier and the corresponding merchant's Doing Business As (DBA) name and address data. A data set is then formed from the transaction data, having merchant locations exhibiting at least a threshold level of common cardholder patronage. A metric is calculated related to the textual similarity between a merchant location's DBA name for each pair of merchant locations within the data set. Each pair of merchant locations having a metric related to the textual similarity between the merchant locations' DBA names that exceeds a predetermined threshold are aggregated with each other, where the merchant locations making up the pair do not share an address. The aggregation between merchant locations is recorded in the data warehouse.