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: Various embodiments for condensed display of data are described herein. A graphical user interface (GUI) comprises a first region including a plurality of graphical filter elements corresponding to respective content types, a grouping option selector, and a second region for displaying content. A graphical filter element comprises a unique icon representing corresponding content type, numeric information related to the corresponding content type, and a name of the corresponding content type. Upon selection of a grouping option using the grouping option selector, the content is displayed in groups in the second region. The groups are ordered in the second region and group indicators represent respective groups in the second region. Upon selection of a particular graphical filter element, content corresponding to the selected graphical filter element is displayed in the second region. The content in the second region is displayed in demarcated content regions corresponding to respective content types.

Abstract: A system, method, and computer program product for combining replicated, analytical, and locally generated data in business objects on top of a database are disclosed. Business data are replicated from a first source to an analytics database. Analytical data based on the replicated business data are generated and combined with the replicated business data in the analytics database. Business objects are created to allow access to the analytics database via a user interface. Related apparatus, systems, techniques and articles are also described.

Abstract: A computer-implemented method for managing a feed in an in-memory database system includes: determining, in an in-memory database system, that a criterion for a feed event is met with regard to a business object handled by the in-memory database system; generating a feed event document in response to the determination; identifying at least one user in the in-memory database system who is a feed event subscriber regarding the business object; and forwarding the generated feed event document to the identified at least one feed event subscriber.

Abstract: A method for generating cross-selling product recommendations is provided. The method includes determining one or more base products purchased by a selected customer based on billing data, finding other customers who purchased the base products, determining one or more additional products which have been purchased by the other customers, sorting the additional products, and providing predictive data including information relating to the additional products to be recommended to the selected customer. Related apparatus, systems, techniques and articles are also described.

Abstract: A computer-implemented method for managing a feed in an in-memory database system includes: determining, in an in-memory database system, that a criterion for a feed event is met with regard to a business object handled by the in-memory database system; generating a feed event document in response to the determination; identifying at least one user in the in-memory database system who is a feed event subscriber regarding the business object; and forwarding the generated feed event document to the identified at least one feed event subscriber.

Abstract: A system, method, and computer program product for joining logistical and financial data related to procurement spending in a database. Financial data can be replicated from a first source to an analytics database. Procurement data from a second source can be replicated to the analytics database. The financial data can be filtered for procurement-related items to obtain procurement-related financial data. The obtained procurement financial data can be joined with the procurement data in the analytics database based on related information between the financial data and the procurement data. One or more reports based on the joined financial and procurement data can be generated in the analytics database. Related apparatus, systems, techniques and articles are also described.

Abstract: A system, method, and computer program product for combining replicated, analytical, and locally generated data in business objects on top of a database are disclosed. Business data are replicated from a first source to an analytics database. Analytical data based on the replicated business data are generated and combined with the replicated business data in the analytics database. Business objects are created to allow access to the analytics database via a user interface. Related apparatus, systems, techniques and articles are also described.