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Steffen Vollmert

Hartmut Koerner

Konrad Schenk

Olga Cherepanova

Janet Dorothy Salmon

Luisa Karl

Ralf Ille

Thomas Zuerker

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.

Database system and method for carbon footprint optimization

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.

Cost allocation estimation using direct cost vectors and machine learning

In a business application, contexts can be switched based on a selected customer. A first authorization profile can be associated with the business application. The authorization profile can restrict a user's ability to access, enter new or update existing information. In response to selection of a first element, such as a customer, the authorization profile can be switched to a second, different authorization profile with different read and/or write privileges. Context switching can also be used which includes additional features beyond the authorization profile. For example, personalization parameters that affect look and feel can be swapped. Additionally, available actions or pages accessible in the application can be swapped.

Context switching in a business application

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Frankfurt-am-Main, Germany

Steffen Vollmert