Abstract: Processing power of a database may be leveraged to perform contact engagement analysis efficiently defining target groups. A person-centric data model allows rapid segmentation based upon details of individual contacts, and the nature of their interactions. The data model may recognize multiple facets of a single individual, for example different identifiers for various personal networks (e.g., social media networks, enterprise directories, etc.). Contact engagement analysis may use techniques such as contact classification, filtering, date period selection, and/or tag cloud based topic classification visualization, in order to achieve target group definition. A data model and UI may provide selection tools filtering data of mixed quality, allowing fast overview, and providing selection possibilities of contact groups having different data quality classifications. A tag cloud (e.g., including a time slider) shows topics of interest derived from contact interactions, thus providing visual indications.

Abstract: A business object model, which reflects data that is used during a given business transaction, is utilized to generate interfaces. This business object model facilitates commercial transactions by providing consistent interfaces that are suitable for use across industries, across businesses, and across different departments within a business during a business transaction. In some operations, software creates, updates, or otherwise processes information related to an outbound delivery business object.