Estimating a result of configuration change(s) in an enterprise

    公开(公告)号:US11379777B2

    公开(公告)日:2022-07-05

    申请号:US16826142

    申请日:2020-03-20

    Abstract: Techniques are described herein that are capable of estimating a result of configuration change(s) in an enterprise. Enterprise information regarding a designated enterprise is gathered. The enterprise information is combined with anonymized information that is received from multiple enterprises to provide combined information. An actual impact of configuration changes in at least one enterprise (e.g., with regard to a first subset of the machines therein) is determined and/or a predictive impact of the configuration change(s) in at least one enterprise (e.g., with regard to a second subset of machines therein) is inferred. An estimate of a net financial result of implementing the configuration change(s) (e.g., with regard to the second subset of the machines) in the designated enterprise is generated based at least in part on the actual impact and/or the predictive impact.

    Optimizing hardware replacement using performance analytics

    公开(公告)号:US12265460B2

    公开(公告)日:2025-04-01

    申请号:US18319429

    申请日:2023-05-17

    Abstract: A solution is disclosed for computer hardware replacement using performance analytics that selects replacement computer hardware based on actual user needs and enterprise priorities. Key performance data is collected and compared with various baselines, thereby identifying hardware that is performing below acceptable levels. Enterprise data and collected data are received from an instrumented operating system on a computing device. The collected data includes boot performance, application performance, and hardware performance. Based at least on the collected data, a usability score is determined by performing a weighted calculation on the collected data. Based at least on the usability score and the enterprise data, it is determined whether a score improvement is required. Based at least on the enterprise data, a score improvement selection is determined. The score improvement selection is reported based at least on determining that a score improvement is required.

    Optimizing hardware replacement using performance analytics

    公开(公告)号:US11693755B2

    公开(公告)日:2023-07-04

    申请号:US16389909

    申请日:2019-04-19

    Abstract: A solution is disclosed for computer hardware replacement using performance analytics that selects replacement computer hardware based on actual user needs and enterprise priorities. Key performance data is collected and compared with various baselines, thereby identifying hardware that is performing below acceptable levels. Enterprise data and collected data are received from an instrumented operating system on a computing device. The collected data includes boot performance, application performance, and hardware performance. Based at least on the collected data, a usability score is determined by performing a weighted calculation on the collected data. Based at least on the usability score and the enterprise data, it is determined whether a score improvement is required. Based at least on the enterprise data, a score improvement selection is determined. The score improvement selection is reported based at least on determining that a score improvement is required.

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