Preventing data analysis interruptions by identifying card continuity without using personally identifiable information

A computer system comprising:

• a database comprising one or more datasets comprising electronic transaction data corresponding to an electronic payment card;
• an analytics server comprising a first processor and a first non-transitory computer readable medium comprising instructions that are configured to be executed by the first processor to:
• continuously monitor one or more datasets stored in the database;
• detect a set of inactive datasets from the one or more datasets comprising a first inactive dataset including electronic transaction data corresponding to a first electronic payment card associated with a first identifier, wherein an inactive dataset of the set of inactive datasets comprises only electronic transaction data that was generated prior to a pre-determined time period prior to a time of detection of the inactive dataset;
• receive, from the transaction analytics server, an indication of an interruption of data for transaction data analysis associated with the first inactive dataset;
• upon receiving the indication, derive a first electronic transaction pattern value for the first inactive dataset that comprises a first string of alphanumeric characters, where each character and character position in the first string corresponds to at least one of a location, time, and transaction amount associated with each electronic transaction and a total number of electronic transactions associated with the first electronic payment card within the first inactive dataset, wherein deriving the first electronic transaction pattern value comprises determining, by the server, each alphanumeric character of the first string by applying a pre-determined set of rules to transaction data associated with an index of the alphanumeric character of the first string;
• identify a set of orphan datasets from the one or more datasets comprising a first orphan dataset including electronic transaction data corresponding to a second electronic payment card associated with a second identifier, wherein an orphan dataset of the set of orphan datasets includes only electronic transaction data that was generated at a time during the pre-determined time period prior to the time of detection of the orphan dataset;
• derive a second electronic transaction pattern value for the first orphan dataset that comprises that comprises a second string of alphanumeric characters, where each character and character position in the second string corresponds to at least one of a location, time, and transaction amount associated with each electronic transaction and a total number of electronic transactions associated with the second electronic payment card within the first orphan dataset, wherein deriving the second electronic transaction pattern value comprises determining, by the server, each alphanumeric character of the second string by applying the pre-determined set of rules to transaction data associated with an index of the alphanumeric character of the second string;
• upon the first and the second electronic transaction pattern value satisfying the similarity, link the first orphan dataset to the first inactive dataset;
• and
• transmit to the transaction analytics server, an instruction to continue the transaction data analysis associated with the first inactive dataset using linked data of the first orphan dataset;
• and
• the transaction analytics server comprising a second processor and a second non-transitory computer readable medium comprising instructions that are configured to be executed by the second processor to transmit an indication of an interruption of data for transaction data analysis associated with the first inactive dataset.