Timeseries DCF capabilities to predict data interactions based on past trends
AssigneeDell Products L.P.
InventorsNicole Reineke, Stephen J. Todd, Trevor Scott Conn
Life of this patent
Estimating the term…
Abstract
One example method is performed in connection with a data confidence fabric. This method includes generating information about data as the data transits a data confidence fabric, ingesting the information, mapping the ingested information to a timeline, evaluating the timeline, based on the evaluating, generating a recommendation for an action concerning the data, and implementing the action in the data confidence fabric. In this method, the evaluating includes determining if any unexpected time gaps occurred as the data transited the data confidence fabric.
Claims18
A method, comprising:
- generating information about data as the data transits a data confidence fabric;
- ingesting the information;
- mapping the ingested information to a timeline;
- evaluating the timeline;
- based on the evaluating, generating a recommendation for an action concerning the data;
- and
- implementing the action in the data confidence fabric,
- wherein the evaluating comprises determining if any unexpected time gaps, during which the data was not being tracked, occurred as the data transited the data confidence fabric.
A method comprising:
- generating information about data as the data transits a data confidence fabric;
- ingesting the information;
- mapping the ingested information to a timeline;
- evaluating the timeline;
- based on the evaluating, generating a recommendation for an action concerning the data;
- and
- implementing the action in the data confidence fabric,
- wherein the information comprises a data primary key, a date time stamp, a nature of an activity involving the data, a user identifier, a location of the data, and data confidence score.
A non-transitory storage medium having stored therein instructions that are executable by one or more hardware processors to perform operations comprising:
- generating information about data as the data transits a data confidence fabric;
- ingesting the information;
- mapping the ingested information to a timeline;
- evaluating the timeline;
- based on the evaluating, generating a recommendation for an action concerning the data;
- and
- implementing the action in the data confidence fabric,
- wherein the evaluating comprises determining if any unexpected time gaps, during which the data was not being tracked, occurred as the data transited the data confidence fabric.
Dependencies are inferred from the claim text.