Abstract: Intelligent mapping from created item information to sustainability reference content from a variety of sources can be implemented to facilitate created item footprint management and other sustainability applications. The difficult task of finding appropriate emission factors across a portfolio can be automated. Assisted search can be implemented using enhanced search techniques. Fallback mappings can be implemented to accommodate different levels of granularity during search. A machine learning model can be trained based on a variety of input data, including confirmed mappings, mapping history, and rules. The process of mapping to emission datasets can thus be simplified, enabling footprint calculations to proceed.

Abstract: Intelligent mapping from created item information to sustainability reference content from a variety of sources can be implemented to facilitate created item footprint management and other sustainability applications. The difficult task of finding appropriate emission factors across a portfolio can be automated. Assisted search can be implemented using enhanced search techniques. Fallback mappings can be implemented to accommodate different levels of granularity during search. A machine learning model can be trained based on a variety of input data, including confirmed mappings, mapping history, and rules. The process of mapping to emission datasets can thus be simplified, enabling footprint calculations to proceed.

Abstract: Sustainability reference content from a variety of sources can be imported into a canonical format for a variety of uses. Product footprint analysis can be performed by accessing the imported sustainability reference content. The canonical format can support a variety of features relating to normalization of units, validity time window, geographical indications, and content quality. API access can be provided to facilitate content update. Automated data import from lifecycle assessment content providers can be supported along with manual input of data from arbitrary sources such as users, vendors, suppliers, or the like. Scope can go beyond footprint analysis to environmental health compliance and other use cases.

Abstract: Systems and processes for calculating sustainability footprints and controlling associated systems are provided herein. Activity data may be received for an organization, and emissions factors may be determined for the activity data. Absolute, relative, and/or average relative footprints may be calculated for the organization based on the activity data and the emissions factors. An indication of the absolute, relative, and/or average relative footprints may be generated for display on a graphical user interface of a computing device.

Abstract: According to some embodiments, a system and methods comprising receiving application code for an on-premise application at a custom code cloud enabler module, wherein the application code includes at least one package of a plurality of objects; providing a whitelist of a plurality of cloud elements for the plurality of objects; identifying a first enhancement point in a first application object of the plurality of objects, the first enhancement point including a first extension element; selecting a first cloud element from the whitelist of cloud elements; determining the selected first cloud element matches a structure definition of the first extension element; mapping one or more parameters of the first extension element to one or more parameters in the matched first cloud element generating a cloud code snippet for the first extension element based on the mapping; and executing the generated cloud code snippet for the first enhancement point as part of the cloud code on a cloud platform.

Abstract: A workflow assistant can provide for improved memory aids and workflow management. The workflow assistant can retrieve context information from a base application to facilitate the creation of memory aids and workflow management items. Textual analysis can be applied to user input to determine data elements, data objects, assistant items, and collections that may be relevant to a memory or workflow aid. The workflow assistant can suggest actions for a user to take, such as based on text analysis of user input or the contents of a collection. Technical features such as a context analyzer that retrieves information from the base application for access by the workflow assistant can make the workflow assistant more dynamic and reduce the user interaction needed to create or modify a memory or workflow aid.

Abstract: Systems, methods, and non-transitory computer-readable mediums having program instructions thereon, provide for creating, storing and utilizing planned target data with a target-setting graphical user application based a cloud-based system. The target-setting application can create multi-dimensional target settings for any HANA or non-HANA based data source. The target-setting application can store planned targets for entities of an organization across varying dimensions and time granularity. Also, the target-setting application generates data access protocol service links of the target data so the target data can be consumed by both HANA and non-HANA based applications.

Abstract: A workflow assistant can provide for improved memory aids and workflow management. The workflow assistant can retrieve context information from a base application to facilitate the creation of memory aids and workflow management items. Textual analysis can be applied to user input to determine data elements, data objects, assistant items, and collections that may be relevant to a memory or workflow aid. The workflow assistant can suggest actions for a user to take, such as based on text analysis of user input or the contents of a collection. Technical features such as a context analyzer that retrieves information from the base application for access by the workflow assistant can make the workflow assistant more dynamic and reduce the user interaction needed to create or modify a memory or workflow aid.

Abstract: Systems, methods, and non-transitory computer-readable mediums having program instructions thereon, provide for analyzing a business object corresponding to a data source with a relational analysis graphical user interface application. The relational analysis graphical user interface application facilitates the analysis of business objects corresponding to a data source through an interactive graphical path. The interactive graphical path depicts a suggested analysis path relating to the business object (i.e., entity). The suggested analysis path corresponds to any relationships (direct or indirect) between the selected entity and other related entities (i.e., corresponding to other data sources). Further, the relationship between the entities is determined based on a heuristic logic.

Abstract: Systems, methods, and non-transitory computer-readable mediums having program instructions thereon, provide for creating, storing and utilizing planned target data with a target-setting graphical user application based a cloud-based system. The target-setting application can create multi-dimensional target settings for any HANA or non-HANA based data source. The target-setting application can store planned targets for entities of an organization across varying dimensions and time granularity. Also, the target-setting application generates data access protocol service links of the target data so the target data can be consumed by both HANA and non-HANA based applications.