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公开(公告)号：US20240028250A1
公开(公告)日：2024-01-25
申请号：US17870712
申请日：2022-07-21
Applicant: SAP SE
Inventor： Hari Venkatesh Subramanian , Florian Roll , Joerg Franke , Joerg Weller , Dimitrij Raev , Stefan Kraus
CPC classification number: G06F3/0655 , G06F16/258 , G06F3/061 , G06F3/0683
Abstract: Techniques and solutions are provided for updating or augmenting consolidated data that is produced using base data. The consolidated data can include data that is aggregated by various grouping criteria. After a set of consolidated data is determined, the base data may change, one or more rules used to calculate the consolidated data may change, or it may be desired to see data that is more granular than that included in the consolidated data. After consolidated data is provided to a user, a user issues a data augmentation request. The data augmentation request causes the base data, which may have been updated, to be processed to provide updated data, where the processing includes grouping operations used in producing the consolidated data. The updated data is provided to a client in response to the data augmentation request.
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公开(公告)号：US10825107B2
公开(公告)日：2020-11-03
申请号：US15896350
申请日：2018-02-14
Applicant: SAP SE
Inventor： Ulrich Schlueter , Florian Roll
IPC: G06Q40/00 , G06F16/26 , G06F16/215
Abstract: Provided are systems and methods for determining a materiality threshold of a local data value for a group data value. In one example, a method includes receiving a group data file and a local data file, identifying a local data value from the local data file and a corresponding confidential group data value from the group data file, determining whether an error or an omission in combining the local data value with the confidential group data value impacts a materiality threshold of the confidential group data value, and generating and displaying a materiality indicator that visually indicates whether the local data value is going to impact a materiality threshold of the confidential group data value. According to various aspects, a user can quickly identify whether a coding process is doing to affect a materiality of a data value from a larger group.
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公开(公告)号：US12001710B2
公开(公告)日：2024-06-04
申请号：US17870712
申请日：2022-07-21
Applicant: SAP SE
Inventor： Hari Venkatesh Subramanian , Florian Roll , Joerg Franke , Joerg Weller , Dimitrij Raev , Stefan Kraus
CPC classification number: G06F3/0655 , G06F3/061 , G06F3/0683 , G06F16/258
Abstract: Techniques and solutions are provided for updating or augmenting consolidated data that is produced using base data. The consolidated data can include data that is aggregated by various grouping criteria. After a set of consolidated data is determined, the base data may change, one or more rules used to calculate the consolidated data may change, or it may be desired to see data that is more granular than that included in the consolidated data. After consolidated data is provided to a user, a user issues a data augmentation request. The data augmentation request causes the base data, which may have been updated, to be processed to provide updated data, where the processing includes grouping operations used in producing the consolidated data. The updated data is provided to a client in response to the data augmentation request.
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公开(公告)号：US20190251637A1
公开(公告)日：2019-08-15
申请号：US15896350
申请日：2018-02-14
Applicant: SAP SE
Inventor： Ulrich Schlueter , Florian Roll
CPC classification number: G06Q40/12 , G06F16/215 , G06F16/26
Abstract: Provided are systems and methods for determining a materiality threshold of a local data value for a group data value. In one example, a method includes receiving a group data file and a local data file, identifying a local data value from the local data file and a corresponding confidential group data value from the group data file, determining whether an error or an omission in combining the local data value with the confidential group data value impacts a materiality threshold of the confidential group data value, and generating and displaying a materiality indicator that visually indicates whether the local data value is going to impact a materiality threshold of the confidential group data value. According to various aspects, a user can quickly identify whether a coding process is doing to affect a materiality of a data value from a larger group.
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