Abstract: Improved real-time analytics systems are provided. An analytics system may be used to generate transaction scores for transactions. A method may comprise receiving a scoring request associated with a transaction, sending the scoring request to a plurality of scoring models including a production model, wherein each scoring model is operable to generate a transaction score in response to the scoring request, and wherein each scoring model may be implemented using a virtual machine, receiving a transaction score generated by the production model, and sending the transaction score to a server for approval or denial the transaction.

Abstract: Improved real-time analytics systems are provided. An analytics system may be used to generate transaction scores for transactions. A method may comprise receiving a scoring request associated with a transaction, sending the scoring request to a plurality of scoring models including a production model, wherein each scoring model is operable to generate a transaction score in response to the scoring request, and wherein each scoring model may be implemented using a virtual machine, receiving a transaction score generated by the production model, and sending the transaction score to a server for approval or denial the transaction.

Abstract: The ECONOMETRICAL INVESTMENT STRATEGY ANALYSIS APPARATUSES, METHODS AND SYSTEMS (“EISA”) transform raw card-based transaction data via EISA components into business analytics reports. In one embodiment, the EISA may obtain an investment strategy analysis request. The EISA may determine a scope of aggregation of card-based transaction data records for investment strategy analysis and aggregate the card-based transaction data records for investment strategy analysis according to the determined scope. The EISA may generate anonymized card transaction data by removing identifying characteristics from the aggregated transaction data. The EISA may determine a forecast regression equation using the anonymized card-based transaction data records. Using the forecast regression equation, the EISA may calculate a forecast for retail spending in a specified spending category.