Systems and methods for semantic context enrichment and data masking

1. A computer-implemented method for electronic data card enhancements, the method comprising:

requesting, by one or more processors, at least one electronic data card containing data within a plurality of data elements;

determining, by the one or more processors, at least one value adding feature applicable to the data, the at least one value adding feature comprising a content enrichment feature;

applying, by the one or more processors, the at least one value adding feature to the data;

presenting, by the one or more processors, the at least one electronic data card containing data and the applied at least one value adding feature of the data;

displaying, by the one or more processors, the at least one electronic data card comprising data elements within a plurality of data fields;

detecting, by the one or more processors, a selection of at least one of the plurality of data fields;

creating, by the one or more processors, contextual data from values of the data elements in the selected at least one of the plurality of data fields, the contextual data comprising a definition of a key performance indicator (KPI) displayed in the selected at least one of the plurality of data fields or a recommendation generated by a machine learning algorithm of an action to be performed; and

calculating, by the one or more processors, derived metrics from the contextual data.

2. The computer-implemented method of claim 1 , wherein the at least one value adding feature further comprises a metric trending analysis feature and/or data a masking feature.

3. The computer-implemented method of claim 1 , the method further comprising:

creating, by the one or more processors, a graphic display interface based on the contextual data and the derived metrics; and

displaying, by the one or more processors, the graphic display interface proximate to the electronic data card.

4. The computer-implemented method of claim 3 , wherein the graphic display interface is at least one of a histogram, pie chart, and/or tabular chart.

5. The computer-implemented method of claim 2 , wherein the value adding feature further comprises a metric trending analysis feature, and further comprising:

checking, by the one or more processors, for existence of saved metric values for the requested electronic data card;

comparing, by the one or more processors, the saved metric values with current metric values;

saving, by the one or more processors, the current metric values as saved metric values; and

displaying, by the one or more processors, based on the comparing, a difference between the saved metric values and the current metric values.

6. The computer-implemented method of claim 2 , wherein determining the value adding feature further comprises the data masking feature, and further comprising:

checking, by the one or more processors, at least one electronic data card property for masking protection settings;

rendering, by the one or more processors, the electronic data card with masked data based on the masking protection settings;

receiving, by the one or more processors, a request to unmask the masked data from a user;

receiving, by the one or more processors, authentication information from the user; and

displaying, by the one or more processors, the unmasked data based on the received authentication information from the user.

7. The computer-implemented method of claim 6 , wherein the authentication information is at least one of a password, a pin number, biometric data, and/or permission settings.

8. A computer system for electronic data card enhancements, the computer system comprising:

at least one memory having processor-readable instructions stored therein; and

at least one processor configured to access the memory and execute operations, the operations comprising:

requesting at least one electronic data card containing data within a plurality of data elements;

determining at least one value adding feature applicable to the data, the at least one value adding feature comprising a content enrichment feature;

applying the at least one value adding feature to the data;

presenting the at least one electronic data card containing data and the applied at least one value adding feature of the data;

displaying the at least one electronic data card comprising data elements within a plurality of data fields;

detecting a selection of at least one of the plurality of data fields;

creating contextual data from values of the data elements in the selected at least one of the plurality of data fields, the contextual data comprising a definition of a key performance indicator (KPI) displayed in the selected at least one of the plurality of data fields or a recommendation generated by a machine learning algorithm of an action to be performed; and

calculating derived metrics from the contextual data.

9. The computer system of claim 8 , wherein the at least one value adding feature further includes at least one of metric trending analysis feature and/or data masking feature.

10. The computer system of claim 8 , the operations further include:

creating a graphic display interface based on the contextual data and the derived metrics; and

displaying the graphic display interface proximate to the electronic data card.

11. The computer system of claim 10 , wherein the graphic display interface is at least one of a histogram, pie chart, and/or tabular chart.

12. The computer system of claim 9 , wherein determining the at least one value adding feature further includes selecting the metric trending analysis feature, and further includes functions for:

checking for existence of saved metric values for the requested electronic data card;

comparing the saved metric values with current metric values;

saving the current metric values as saved metric values; and

displaying based on the comparing, a difference between the saved metric values and the current metric values.

13. The computer system of claim 9 , wherein determining the at least one value adding feature further includes selecting the data masking feature, and further includes functions for:

checking at least one electronic data card property for masking protection settings;

rendering the electronic data card with masked data based on the masking protection settings;

receiving a request to unmask the masked data from a user;

receiving authentication information from the user; and

displaying the unmasked data based on the received authentication information from the user.

14. The computer system of claim 13 , wherein the authentication information is at least one of, a password, a pin number, biometric data, and/or permission settings.

15. A non-transitory computer-readable medium comprising instructions for electronic data card enhancements, the non-transitory computer-readable medium storing instructions that, when executed by at least one processor, configure the at least one processor to perform operations comprising:

requesting, by one or more processors, at least one electronic data card containing data within a plurality of data elements;

determining, by the one or more processors, at least one value adding feature applicable to the data, the at least one value adding feature comprising a content enrichment feature;

applying, by the one or more processors, the at least one value adding feature to the data;

presenting, by the one or more processors, the at least one electronic data card containing data and the applied at least one value adding feature of the data;

displaying, by the one or more processors, the at least one electronic data card comprising data elements within a plurality of data fields;

detecting, by the one or more processors, a selection of at least one of the plurality of data fields;

creating, by the one or more processors, contextual data from values of the data elements in the selected at least one of the plurality of data fields, the contextual data comprising a definition of a key performance indicator (KPI) displayed in the selected at least one of the plurality of data fields or a recommendation generated by a machine learning algorithm of an action to be performed; and

calculating, by the one or more processors, derived metrics from the contextual data.

16. The non-transitory computer-readable medium of claim 15 , wherein the at least one value adding feature further includes at least one of metric trending analysis feature and/or data masking feature.

17. The non-transitory computer-readable medium of claim 16 , wherein the operations further include:

creating, by the one or more processors, a graphic display interface based on the contextual data and the derived metrics; and

displaying, by the one or more processors, the graphic display interface proximate to the electronic data card.

18. The non-transitory computer-readable medium of claim 17 , wherein the graphic display interface is at least one of a histogram, pie chart, and/or tabular chart.

19. The non-transitory computer-readable medium of claim 16 , wherein determining the at least one value adding feature further includes selecting the metric trending analysis feature, and further include:

checking, by the one or more processors, for existence of saved metric values for the requested electronic data card;

comparing, by the one or more processors, the saved metric values with current metric values;

saving, by the one or more processors, the current metric values as saved metric values; and

displaying, by the one or more processors, based on the comparing, a difference between the saved metric values and the current metric values.

20. The non-transitory computer-readable medium of claim 16 , wherein determining the at least one value adding feature further includes selecting the data masking feature, and further include:

checking, by the one or more processors, at least one electronic data card property for masking protection settings;

rendering, by the one or more processors, the electronic data card with masked data based on the masking protection settings;

receiving, by the one or more processors, a request to unmask the masked data from a user;

receiving, by the one or more processors, authentication information from the user; and

displaying, by the one or more processors, the unmasked data based on the received authentication information from the user.