Abstract: Methods, systems, and computer storage media for providing ecosystem carbon emissions data using an ecosystem management engine in a carbon emissions management system. The ecosystem management engine operates as a collaborative integration platform for managing carbon emissions associated with a client and suppliers of the client based on a plurality of ecosystem management operations (e.g., data exchange and aggregation, self-service carbon emissions calculations, data validation, and carbon reduction evaluation). In operation, using an ecosystem management engine, a client communicates a request for carbon emission data from a supplier of the client. The carbon emissions data comprises product-level data of the supplier. Based on communicating the request, the client receives the carbon emissions data. One or more ecosystem management operations are executed on the carbon emissions data.

Abstract: Methods, systems, and computer storage media for providing an insight capturing interface of an insight capturing engine in a data analytics system. The insight capturing interface refers to an interaction mechanism for capturing and aggregating answers from users. The responses are used to generate, identify, derive insights (e.g., relationship information) that correspond to features (e.g., user features, product features) associated with the responses. The insight capturing interface operates with the insight capturing engine to sequentially generate a combination of interface elements for retrieving the responses. In particular, the insight capturing engine operates to provide a survey (e.g., a perpetual survey) in which users continuously prompted with a pair of products to capture their insights, where the insights support generating inference models.

Abstract: Methods, systems, and computer storage media for providing carbon emissions data analytics recommendations using a carbon emissions data analytics engine in a carbon emissions management system. The recommendation can be associated with simulated carbon emissions optimization results data based on carbon emissions data analytics model of the carbon emissions management system. In operation, using statistical modeling, existing carbon emissions factors of standard activities are retrieved, merged and augmented. Activity data (e.g., activity data of an organization) are automatically mapped to the carbon emissions factors. Input data comprising the activity data mapped to the augmented carbon emissions factors is processed using a carbon emissions data analytics models. Processing the input data can include forecasting, scenario simulation, and scenario optimization.