Jpmorgan Chase Bank, N.a.

Miguel Villarreal-vasquez

John F Buford

Prashant K Dhingra

Jose Gondin

Fenglin Yin

Systems and methods for automated data quality semantic constraint identification using rich data type inferences are disclosed. In one embodiment, a method for automated data quality analysis may include: (1) receiving, by a data quality engine computer program, reference data from a data source, wherein the reference data comprises a plurality of columns; (2) inferring, by the data quality engine computer program, a rich data type for each of the plurality of columns, wherein the rich data type has a specific format, a content constraint, and/or a specific application; (3) applying, by the data quality engine computer program, a data quality constraint to each column based on the rich data type for the column; (4) updating, by the data quality engine computer program, the reference data with production data; and (5) identifying, by the data quality engine computer program, a data quality issue in the production data.

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New York, NY, United States of America

Miguel Villarreal-vasquez