View source for 18137963. SYSTEM AND METHOD FOR AUTOMATICALLY ENRICHING DATASETS WITH SYSTEM KNOWLEDGE DATA simplified abstract (Oracle International Corporation)

=SYSTEM AND METHOD FOR AUTOMATICALLY ENRICHING DATASETS WITH SYSTEM KNOWLEDGE DATA=


==Organization Name==

[[:Category:Oracle International Corporation|Oracle International Corporation]]


[[Category:Oracle International Corporation]]

==Inventor(s)==

[[:Category:MIKHAIL Shmulyan of Seattle WA (US)|MIKHAIL Shmulyan of Seattle WA (US)]][[Category:MIKHAIL Shmulyan of Seattle WA (US)]]

[[:Category:NIKHIL Surve of Pleasanton CA (US)|NIKHIL Surve of Pleasanton CA (US)]][[Category:NIKHIL Surve of Pleasanton CA (US)]]

==SYSTEM AND METHOD FOR AUTOMATICALLY ENRICHING DATASETS WITH SYSTEM KNOWLEDGE DATA - A simplified explanation of the abstract==


This abstract first appeared for US patent application 18137963 titled 'SYSTEM AND METHOD FOR AUTOMATICALLY ENRICHING DATASETS WITH SYSTEM KNOWLEDGE DATA

==Simplified Explanation==

The abstract describes a system and method for automatically enriching datasets in a data analytics environment with system knowledge data, improving data visualizations for users.

* The system automatically enriches data sets with additional system knowledge data.
* Users may be unaware of additional data that could improve data visualizations.
* Enrichment is done using a knowledge repository and delivered to customers through various means.

== Potential Applications ==
This technology could be applied in various industries such as finance, healthcare, marketing, and more where data analytics play a crucial role in decision-making processes.

== Problems Solved ==
1. Lack of awareness of additional data that could enhance data visualizations.
2. Manual enrichment of datasets can be time-consuming and prone to errors.

== Benefits ==
1. Improved data visualizations leading to better decision-making.
2. Automatic enrichment saves time and reduces the risk of errors.

== Potential Commercial Applications ==
Enhancing data analytics platforms for businesses to provide more insightful and accurate data visualizations.

== Possible Prior Art ==
One possible prior art could be the use of data enrichment tools in data analytics platforms to enhance the quality of visualizations.

=== Unanswered Questions ===

== How does the system ensure the accuracy of the enriched data? ==
The abstract does not mention how the system verifies the accuracy of the additional data added to the datasets.

== What security measures are in place to protect the enriched datasets? ==
The abstract does not address the security measures implemented to safeguard the enriched datasets from unauthorized access or breaches.


==Original Abstract Submitted==

In accordance with an embodiment, described herein is a system and method for automatically enriching datasets in a data analytics environment, with system knowledge data. The system can operate, upon an analysis of a data set, to automatically enrich the data set. Users of data analytics environments, such as business users preparing data visualizations, may be unaware of additional data and system knowledge data that could be utilized to improve the data visualizations. The systems and methods described herein can provide an automatic enrichment of data from, for example, a knowledge repository, which can be delivered to a data analytics customer using various delivery means.



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