Data trend analysis based on real-time data aggregation

A non-transitory computer-readable medium comprising a logic for analyzing data trend, the logic, when executed by one or more processors, instructing the one or more processors to:

• store a plurality of transaction records, each transaction record comprising at least a merchant ID, a transaction amount, and a time stamp, the merchant ID being associated with a location, each transaction record being associated with a user;
• store user account information associated with a plurality of users, the user account information comprising demographics and transaction history associated with the users, the demographics comprising at least locations associated with the users, the transaction history identifying transaction records associated with each of the users;
• receive the plurality of transaction records from the plurality of servers;
• categorize the plurality of transaction records based on their associated merchant IDs;
• for each of the merchant ID, determine a number of the transaction records associated with the merchant ID that are associated with a time stamp within a pre-determined time period;
• for each of the merchant ID, determine whether the determined number of transaction records exceeds a pre-determined threshold;
• identify at least a first merchant ID with the determined number of transaction records that exceeds the pre-determined threshold;
• identify a first location associated with the first merchant ID;
• generate a first trending notification indicating that a transaction trending occurs for the first merchant ID in the first location within the pre-determined time period;
• identify a first set of users that are associated with the first location based on the demographics in the user account information;
• identify a subset of the first set of users with a transaction history identifying at least one transaction record that is associated with the first merchant ID;
• and
• send the first trending notification to the subset of the first set of users.

A method for analyzing data trend, comprising:

• storing a plurality of transaction records, each transaction record comprising at least a merchant ID, a transaction amount, and a time stamp, the merchant ID being associated with a location, each transaction record being associated with a user;
• storing user account information associated with a plurality of users, the user account information comprising demographics and transaction history associated with the users, the demographics comprising at least locations associated with the users, the transaction history identifying transaction records associated with each of the users;
• receiving the plurality of transaction records from the plurality of servers;
• categorizing the plurality of transaction records based on their associated merchant IDs;
• for each of the merchant ID, determining a number of the transaction records associated with the merchant ID that are associated with a time stamp within a pre-determined time period;
• for each of the merchant ID, determining whether the determined number of transaction records exceeds a pre-determined threshold;
• identifying at least a first merchant ID with the determined number of transaction records that exceeds the pre-determined threshold;
• identifying a first location associated with the first merchant ID;
• generating a first trending notification indicating that a transaction trending occurs for the first merchant ID in the first location within the pre-determined time period;
• identifying a first set of users that are associated with the first location based on the demographics in the user account information;
• identifying a subset of the first set of users with a transaction history identifying at least one transaction record that is associated with the first merchant ID;
• and
• sending the first trending notification to the subset of the first set of users.