Aggregating data from a plurality of data sources
    1.
    发明授权
    Aggregating data from a plurality of data sources 有权
    从多个数据源汇总数据

    公开(公告)号:US09105000B1

    公开(公告)日:2015-08-11

    申请号:US14304741

    申请日:2014-06-13

    IPC分类号: G06Q10/00 G06Q10/06 G06F17/30

    CPC分类号: G06Q10/06398 G06F17/30303

    摘要: According to certain aspects, a computer system may be configured to aggregate and analyze data from a plurality of data sources. The system may obtain data from a plurality of data sources, each of which can include various types of data, including email data, system logon data, system logoff data, badge swipe data, employee data, job processing data, etc. associated with a plurality of individuals. The system may also transform data from each of the plurality of data sources into a format that is compatible for combining the data from the plurality of data sources. The system can resolve the data from each of the plurality of data sources to unique individuals of the plurality of individuals. The system can also determine an efficiency indicator based at least in part on a comparison of individuals of the unique individuals that have at least one common characteristic.

    摘要翻译: 根据某些方面,计算机系统可以被配置为聚合和分析来自多个数据源的数据。 该系统可以从多个数据源获得数据,每个数据源可以包括各种类型的数据,包括电子邮件数据,系统登录数据,系统注销数据,徽章刷卡数据,员工数据,作业处理数据等 多个人。 该系统还可以将来自多个数据源中的每一个的数据转换为兼容来自多个数据源的数据的格式。 该系统可以将来自多个数据源中的每一个的数据解析成多个个体中的唯一个体。 该系统还可以至少部分地基于具有至少一个共同特征的独特个体的个体的比较来确定效率指标。

    SYSTEM AND METHOD FOR AGGREGATING DATA FROM A PLURALITY OF DATA SOURCES

    公开(公告)号:US20220027426A1

    公开(公告)日:2022-01-27

    申请号:US17493205

    申请日:2021-10-04

    摘要: According to certain aspects, a computer system may be configured to aggregate and analyze data from a plurality of data sources. The system may obtain data from a plurality of data sources, each of which can include various types of data, including email data, system logon data, system logoff data, badge swipe data, employee data, job processing data, etc. associated with a plurality of individuals. The system may also transform data from each of the plurality of data sources into a format that is compatible for combining the data from the plurality of data sources. The system can resolve the data from each of the plurality of data sources to unique individuals of the plurality of individuals. The system can also determine an efficiency indicator based at least in part on a comparison of individuals of the unique individuals that have at least one common characteristic.

    System and method for aggregating data from a plurality of data sources

    公开(公告)号:US11138279B1

    公开(公告)日:2021-10-05

    申请号:US16173408

    申请日:2018-10-29

    摘要: According to certain aspects, a computer system may be configured to aggregate and analyze data from a plurality of data sources. The system may obtain data from a plurality of data sources, each of which can include various types of data, including email data, system logon data, system logoff data, badge swipe data, employee data, job processing data, etc. associated with a plurality of individuals. The system may also transform data from each of the plurality of data sources into a format that is compatible for combining the data from the plurality of data sources. The system can resolve the data from each of the plurality of data sources to unique individuals of the plurality of individuals. The system can also determine an efficiency indicator based at least in part on a comparison of individuals of the unique individuals that have at least one common characteristic.

    System and method for aggregating data from a plurality of data sources

    公开(公告)号:US10198515B1

    公开(公告)日:2019-02-05

    申请号:US14816599

    申请日:2015-08-03

    IPC分类号: G06F17/30

    摘要: According to certain aspects, a computer system may be configured to aggregate and analyze data from a plurality of data sources. The system may obtain data from a plurality of data sources, each of which can include various types of data, including email data, system logon data, system logoff data, badge swipe data, employee data, job processing data, etc. associated with a plurality of individuals. The system may also transform data from each of the plurality of data sources into a format that is compatible for combining the data from the plurality of data sources. The system can resolve the data from each of the plurality of data sources to unique individuals of the plurality of individuals. The system can also determine an efficiency indicator based at least in part on a comparison of individuals of the unique individuals that have at least one common characteristic.