Wells Fargo Bank, N.A.

Connor Patrick Jennings

Carmel Nadav

Manish Pandey

Mahima Rawat

Systems, apparatuses, methods, and computer program products are disclosed for automated generation and validation of a data dictionary. An example method includes automatically generating a data dictionary based on one or more reference term tokens of a database query. The example method further includes validating the data dictionary by generating, based on the database query and the data dictionary, a skeleton query, and determining, based on the skeleton query, a validation status of the data dictionary.

Systems and methods for automated data dictionary generation and validation

Systems, apparatuses, methods, and computer program products are disclosed for automated data dictionary generation and validation. An example method includes receiving a first data dictionary. The example method also includes parsing a database query to identify one or more reference term tokens. The example method also includes automatically generating a second data dictionary based on the one or more reference term tokens. The example method also includes validating the first data dictionary based on the second data dictionary. The example method also includes causing presentation of a validation status of the first data dictionary.

Various examples are directed to systems and methods for visualizing computerized model decisions. A model system may access result data that comprises event results for a plurality of events and event feature data describing sets of event features. A first event result for a first event of the plurality of events is generated using the computerized model and a first set of event features from the event feature data. The model system may access importance score data comprising importance scores for at least a portion of the first set of event features, wherein a first event feature is assigned a first importance score and a second event feature is assigned a second importance score indicating a greater importance than the first importance score. The model system may also generate a user interface for display to a human user. The user interface may comprise a background area; a first visual indicator positioned on the background area and corresponding to the first event feature. A size of the first visual indicator may correspond to the first importance score. A second visual indicator may be positioned on the background area and corresponding to the second event feature. A size of the second visual indicator corresponds to the second importance score and is larger than the size of the first visual indicator. The model system may display the user interface at a display screen of a computing device.

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Des Moines, IA, United States of America

Connor Patrick Jennings