Abstract: Various embodiments are directed to the centralized processing of data from multiple sources and/or augmenting the data with contextual data from multiple sources across different accounts and systems. Embodiments disclose a context augmentation module to supplement and aggregate data from multiple sources, extrapolate contextual data, and augment the data with the contextual data on transactions conducted by a user. By gathering data from multiple sources associated with the user, contextual data may be extrapolated and can be applied to incoming transaction data about a transaction conducted by the user. The contextual data may also be applied to classify the transaction data, increasing the total number of transactions as well as contextualizing the ones with additional corresponding data.

Abstract: Various embodiments are directed to the centralized processing of data from multiple sources and/or augmenting the data with contextual data from multiple sources across different accounts and systems. Embodiments disclose a context augmentation module to supplement and aggregate data from multiple sources, extrapolate contextual data, and augment the data with the contextual data on transactions conducted by a user. By gathering data from multiple sources associated with the user, contextual data may be extrapolated and can be applied to incoming transaction data about a transaction conducted by the user. The contextual data may also be applied to classify the transaction data, increasing the total number of transactions as well as contextualizing the ones with additional corresponding data.

Abstract: Various embodiments are directed to the centralization processing of transaction and payment data to categorize transaction data across different accounts and systems. Embodiments disclose a transaction categorizer to tag an incoming transaction with metadata, perform a user rule match, perform a vendor match, and/or an estimated (probabilistic) score match on the incoming transaction. By applying these various matching processes to the incoming transaction, the transaction categorizer can determine which metadata tags to remove, apply, and/or modify to accurately categorize the transaction. Accurate categorization of transactions can result to valuable data for users in personal resource management, as well as for vendors and service providers.