公开(公告)号：US20210383300A1

公开(公告)日：2021-12-09

申请号：US16897089

申请日：2020-06-09

Applicant: SAP SE

Inventor： Steffen Vollmert ,  Jean-Philippe Lombardi

IPC: G06Q10/06 ,  G06N20/00 ,  G06F16/9035 ,  G06F3/0482

Abstract: Methods, systems, and articles of manufacture are provided for focusing data. In some implementations, there may be provided sending a query for report data in response to a first selection of a report and a second selection of a machine learning model, the query including an identifier of the report and an indication of the machine learning model, the machine learning model trained to focus a structure of the report data for the report; in response to detecting the indication, processing, by the machine learning model, the report data to sort and focus the report data, the report data being responsive to the query of a database; and providing the processed report data to a user interface for display to a user, the report data structured to include the focus provided by the machine learning model. Related systems and articles of manufacture, including computer program products, are also provided.

公开(公告)号：US12026653B2

公开(公告)日：2024-07-02

申请号：US17014565

申请日：2020-09-08

Applicant: SAP SE

Inventor： Steffen Vollmert ,  Hartmut Koerner

IPC: G06Q10/06 ,  G06F16/9538 ,  G06Q10/0631 ,  G06Q10/0637 ,  G06Q10/0639 ,  G06Q10/30 ,  G06Q50/26

CPC classification number: G06Q10/06375 ,  G06F16/9538 ,  G06Q10/06315 ,  G06Q10/0639 ,  G06Q10/30 ,  G06Q50/26

Abstract: Various examples are directed to using a web-based analytics system to determine a carbon footprint metric for a product. The web-based analytics system may import indirect carbon footprint data from an environmental compliance system and quantity structure data describing the product from an accounting system table. The web-based analytics system may identify, using the quantity structure data, a first constituent component for the product and import first constituent component carbon footprint data for the first constituent component. The web-based analytics system may identify an activity for the product and import activity carbon footprint data describing a carbon footprint for the activity. The web-based analytics system may determine the carbon footprint metric for the product using the first constituent component carbon footprint data, the activity carbon footprint data, and the indirect carbon footprint data.

公开(公告)号：US11521274B2

公开(公告)日：2022-12-06

申请号：US16358850

申请日：2019-03-20

Applicant: SAP SE

Inventor： Steffen Vollmert ,  Luisa Karl ,  Konrad Schenk ,  Olga Cherepanova ,  Janet Dorothy Salmon ,  Ralf Ille ,  Thomas Zuerker

IPC: G06Q40/00 ,  G06N20/00

Abstract: The disclosure generally describes methods, software, and systems for estimating cost allocations, including a method for the following steps. Using a machine learning system, transactions are consolidated into estimated sender-receiver totals for costs transmitted by senders to receivers in an organization. A sender-receiver percentage matrix is determined from the estimated sender-receiver totals of a given sender and for each receiver of the transactions from the given sender. The sender-receiver percentage matrix includes, for each sender, estimated sender-receiver percentages. Current actual costs are determined for each sender to receivers for a given time period. Estimated cost allocations are determined for given time period using the sender-receiver percentage matrix. The estimated cost allocations are determined for each receiver in the organization based on a function of the current actual costs for each sender. A report that includes the estimated cost allocations is provided for presentation to a user.

公开(公告)号：US20220076182A1

公开(公告)日：2022-03-10

申请号：US17014565

申请日：2020-09-08

Applicant: SAP SE

Inventor： Steffen Vollmert ,  Hartmut Koerner

IPC: G06Q10/06 ,  G06Q50/26 ,  G06F16/9538

Abstract: Various examples are directed to using a web-based analytics system to determine a carbon footprint metric for a product. The web-based analytics system may import indirect carbon footprint data from an environmental compliance system and quantity structure data describing the product from an accounting system table. The web-based analytics system may identify, using the quantity structure data, a first constituent component for the product and import first constituent component carbon footprint data for the first constituent component. The web-based analytics system may identify an activity for the product and import activity carbon footprint data describing a carbon footprint for the activity. The web-based analytics system may determine the carbon footprint metric for the product using the first constituent component carbon footprint data, the activity carbon footprint data, and the indirect carbon footprint data.

公开(公告)号：US20200302550A1

公开(公告)日：2020-09-24

申请号：US16358850

申请日：2019-03-20

Applicant: SAP SE

Inventor： Steffen Vollmert ,  Luisa Karl ,  Konrad Schenk ,  Olga Cherepanova ,  Janet Dorothy Salmon ,  Ralf Ille ,  Thomas Zuerker

IPC: G06Q40/00 ,  G06N20/00

Abstract: The disclosure generally describes methods, software, and systems for estimating cost allocations, including a method for the following steps. Using a machine learning system, transactions are consolidated into estimated sender-receiver totals for costs transmitted by senders to receivers in an organization. A sender-receiver percentage matrix is determined from the estimated sender-receiver totals of a given sender and for each receiver of the transactions from the given sender. The sender-receiver percentage matrix includes, for each sender, estimated sender-receiver percentages. Current actual costs are determined for each sender to receivers for a given time period. Estimated cost allocations are determined for given time period using the sender-receiver percentage matrix. The estimated cost allocations are determined for each receiver in the organization based on a function of the current actual costs for each sender. A report that includes the estimated cost allocations is provided for presentation to a user.

公开(公告)号：US20170316499A1

公开(公告)日：2017-11-02

申请号：US15139871

申请日：2016-04-27

Applicant: SAP SE

Inventor： Steffen Vollmert ,  Oliver Becker ,  Achim Bolte ,  Steven Coombs ,  Patricia David ,  Guenter Graf ,  Hartmut Koerner ,  Thomas Pohl ,  Ralf Reinke ,  Christian Seemann

IPC: G06Q40/04 ,  G06F3/0484 ,  G06Q40/06 ,  G06F3/0481

CPC classification number: G06Q40/04 ,  G06Q40/06

Abstract: The present disclosure provides methods, devices, systems, and computer program products for simulating currency risk by analyzing and manipulating financial data stored in an in-memory database and presenting results to a user on a display. The currency risk may be simulated by manipulating the stored financial data according to a business change, a foreign currency share change, and/or a foreign currency exchange rate change. Also provided is a scenario constructor that allows for the creation, simulation, and storage of complex currency risk scenarios.