Microsoft technology licensing, llc (20240113938). ADMIN CHANGE RECOMMENDATION IN AN ENTERPRISE simplified abstract
Contents
- 1 ADMIN CHANGE RECOMMENDATION IN AN ENTERPRISE
- 1.1 Organization Name
- 1.2 Inventor(s)
- 1.3 ADMIN CHANGE RECOMMENDATION IN AN ENTERPRISE - A simplified explanation of the abstract
- 1.4 Simplified Explanation
- 1.5 Potential Applications
- 1.6 Problems Solved
- 1.7 Benefits
- 1.8 Potential Commercial Applications
- 1.9 Possible Prior Art
- 1.10 Original Abstract Submitted
ADMIN CHANGE RECOMMENDATION IN AN ENTERPRISE
Organization Name
microsoft technology licensing, llc
Inventor(s)
Toshitha Jagadeesh of Seattle WA (US)
David C. James of Snohomish WA (US)
Brad R. Anderson of Sammamish WA (US)
Brett Damon Alan Flegg of Redmond WA (US)
ADMIN CHANGE RECOMMENDATION IN AN ENTERPRISE - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240113938 titled 'ADMIN CHANGE RECOMMENDATION IN AN ENTERPRISE
Simplified Explanation
The patent application describes techniques for providing recommendations for administrative changes in an enterprise based on historical data and metrics.
- The system determines the type of admin change to be made in the enterprise.
- It cross-references this type with past admin changes and resulting metric values to identify patterns.
- A causal relationship is inferred between certain admin changes and improvements in metric values.
- Based on these relationships, the system recommends specific admin changes to be made by the administrator.
Potential Applications
This technology could be applied in various industries where data-driven decision-making is crucial, such as finance, healthcare, and manufacturing.
Problems Solved
This technology helps administrators make informed decisions by analyzing past data and identifying patterns that lead to improvements in key metrics.
Benefits
- Improved decision-making based on data analysis - Increased efficiency and effectiveness in implementing admin changes - Better understanding of the impact of admin changes on key metrics
Potential Commercial Applications
"Data-Driven Admin Change Recommendations in Enterprises"
Possible Prior Art
There may be prior art related to data analysis and recommendation systems in the field of business intelligence and enterprise management software.
Unanswered Questions
How does the system handle outliers or anomalies in the data?
The patent application does not specify how the system deals with outliers or anomalies that may affect the accuracy of the recommendations.
What measures are in place to ensure data privacy and security?
The patent application does not address the potential concerns regarding data privacy and security when analyzing sensitive enterprise data for admin change recommendations.
Original Abstract Submitted
techniques are described herein that are capable of providing a recommendation of an admin change (i.e., an admin change recommendation) in an enterprise. a type of intended admin change that an administrator is to perform with regard to an enterprise is determined. the type is cross-referenced with information indicating admin changes made by administrator(s) in environment(s) of enterprise(s) and values of metrics resulting therefrom to identify subsets of the information to which the type corresponds. a causal relationship is inferred between admin change(s) made after an admin change of the type and an increase in value(s) of metric(s) that are indicated by information in the subsets. a recommended admin change is recommended to be performed by the administrator based at least in part on a causal relationship between the recommended admin change and an increase in at least one of the value(s) of at least one of the respective metric(s).
