Abstract: Systems, apparatuses, methods, and computer program products are disclosed for categorizing a data set. An example method includes receiving first electronic information comprising objective indicia of quality associated with the data set and second electronic information comprising subjective indicia of quality associated with the data set. The example method further includes generating third electronic information comprising analytical indicia of quality associated with the data set based on the first electronic information and the second electronic information. The example method further includes generating a data quality rating for the data set based on the first electronic information, the second electronic information, and the third electronic information. Subsequently, the example method includes using a feedback loop to update the data quality rating for the data set where the feedback loop is based on an evaluation of the objective indicia of quality.

Abstract: Systems, apparatuses, methods, and computer program products are disclosed for managing data usage. An example method includes monitoring electronic usage of a governed data set in a computing environment, wherein the governed data set comprises a governed business element, and wherein the governed business element comprises a business element and a metadata attribute configured to govern electronic usage of the business element. The example method further includes identifying, via a data compliance bot, transmission of an electronic usage request from a user device, wherein the electronic usage request comprises a request for a user of the user device to electronically use the business element in the computing environment. The example method further includes identifying the metadata attribute based on the business element. Subsequently, the example method includes determining whether electronic use of the business element is allowed.

Abstract: Systems, apparatuses, methods, and computer program products are disclosed for managing data usage. An example method includes monitoring electronic usage of a governed data set in a computing environment, wherein the governed data set comprises a governed business element, and wherein the governed business element comprises a business element and a metadata attribute configured to govern electronic usage of the business element. The example method further includes identifying, via a data compliance bot, transmission of an electronic usage request from a user device, wherein the electronic usage request comprises a request for a user of the user device to electronically use the business element in the computing environment. The example method further includes identifying the metadata attribute based on the business element. Subsequently, the example method includes determining whether electronic use of the business element is allowed.

Abstract: Systems, apparatuses, methods, and computer program products are disclosed for categorizing a data set. An example method includes receiving first electronic information comprising objective indicia of quality associated with the data set and second electronic information comprising subjective indicia of quality associated with the data set. The example method further includes generating third electronic information comprising analytical indicia of quality associated with the data set based on the first electronic information and the second electronic information. The example method further includes generating a data quality rating for the data set based on the first electronic information, the second electronic information, and the third electronic information. Subsequently, the example method includes generating a data quality categorization for the data set based on the data quality rating.

Abstract: Systems, apparatuses, methods, and computer program products are disclosed for categorizing a data set. An example method includes receiving first electronic information comprising objective indicia of quality associated with the data set and second electronic information comprising subjective indicia of quality associated with the data set. The example method further includes generating third electronic information comprising analytical indicia of quality associated with the data set based on the first electronic information and the second electronic information. The example method further includes generating a data quality rating for the data set based on the first electronic information, the second electronic information, and the third electronic information. Subsequently, the example method includes generating a data quality categorization for the data set based on the data quality rating.