System, method, and computer program product for monitoring and improving data quality

A system for monitoring and improving data quality of transaction data, comprising:

• at least one processor programmed or configured to:
• receive transaction data associated with a plurality of payment transactions from an acquirer system, the transaction data comprising a transaction record associated with each payment transaction of the plurality of payment transactions, each transaction record comprising a plurality of data fields;
• categorize each respective data field of the plurality of data fields into a respective type of a plurality of types;
• and
• determine a data quality score for each respective data field of the plurality of data fields based on the respective type of the respective data field, wherein a first subset of data fields of the plurality of data fields comprises numeric data fields, and wherein determining the data quality score for the numeric data fields comprises:
• generating a vector comprising a plurality of elements, the plurality of elements comprising an element for each value of the numeric data fields and for each interaction of at least two values of the numeric data fields;
• generating a plurality of tuples based on the plurality of elements;
• performing a regression on each tuple of the plurality of tuples to provide an error value for each tuple of the plurality of tuples;
• determining the error value of at least one tuple of the plurality of tuples satisfies a data quality threshold;
• and
• storing at least one of a coefficient value, an intercept value, or any combination thereof based on the regression for the at least one tuple that satisfies the data quality threshold.

A computer program product for monitoring and improving data quality of transaction data, comprising at least one non-transitory computer-readable medium including one or more instructions that, when executed by at least one processor, cause the at least one processor to:

• receive transaction data associated with a plurality of payment transactions from an acquirer system, the transaction data comprising a transaction record associated with each payment transaction of the plurality of payment transactions, each transaction record comprising a plurality of data fields;
• categorize each respective data field of the plurality of data fields into a respective type of a plurality of types;
• and
• determine a data quality score for each respective data field of the plurality of data fields based on the respective type of the respective data field, wherein a first subset of data fields of the plurality of data fields comprises numeric data fields, and wherein determining the data quality score for the numeric data fields comprises:
• generating a vector comprising a plurality of elements, the plurality of elements comprising an element for each value of the numeric data fields and for each interaction of at least two values of the numeric data fields;
• generating a plurality of tuples based on the plurality of elements;
• performing a regression on each tuple of the plurality of tuples to provide an error value for each tuple of the plurality of tuples;
• determining the error value of at least one tuple of the plurality of tuples satisfies a data quality threshold;
• and
• storing at least one of a coefficient value, an intercept value, or any combination thereof based on the regression for the at least one tuple that satisfies the data quality threshold.