公开(公告)号：US20240362720A1

公开(公告)日：2024-10-31

申请号：US18140134

申请日：2023-04-27

Applicant: SAP SE

Inventor： NEHA GARG ,  Suman Kumar PUTHADI ,  Bidisha TRIPATHI ,  Shwetank MISHRA ,  Ekta BHARTI

IPC: G06Q40/12

CPC classification number: G06Q40/12

Abstract: Disclosed herein are system, method and computer program product embodiments for implementing an expenditure visualization application. An embodiment obtains an identifier of a parent cost object, accesses one or more databases of cost accounting data to generate a data structure that represents a hierarchy of cost objects that includes the parent cost object and one or more child cost objects that depend therefrom, the data structure storing planned data and expenditure data for each cost object in the hierarchy, generates based on the data structure a tree view graphical user interface (GUI) control that represents each cost object in the hierarchy of cost objects as a corresponding node, each node in the tree view GUI control including an expenditure visualization representing the planned data and the expenditure data for the corresponding cost object, and provides the tree view GUI control for display via a GUI of the application.

公开(公告)号：US20230024135A1

公开(公告)日：2023-01-26

申请号：US17380934

申请日：2021-07-20

Applicant: SAP SE

Inventor： NEHA GARG ,  Sudhir Verma ,  Shilpa Viswanadha ,  Ayushi Singla ,  Sven Herzberg

IPC: G06F40/289 ,  G06F16/31 ,  G06F16/35 ,  G06K9/62 ,  G06F9/50

Abstract: A system, a method, and a computer program product for generation of keywords for a solution note for resolving an issue associated with a computing component. A dataset for training a keyword data model is received. The dataset includes a plurality of variables associated with one or more values. The keyword data model is configured for determination, as a function of one or more variables in the plurality of variables, of one or more keywords in a plurality of keywords associated with a computing solution in a plurality of computing solutions for resolving a problem with an operation of a computing component in a plurality of computing components. The keyword data model is trained using the received dataset and the keyword data model is applied to one or more variables in the received dataset to generate one or more keywords. One or more keywords associated with the computing solution is generated.