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 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.

Abstract: A computer network architecture for making procurement-related information that has been generated on a transaction level available to data warehousing techniques is described. The network includes a transaction processing layer with at least one accounting component with a general ledger data base for centrally storing information contained in accounted-related data sets, a data warehousing layer and an additional data sourcing layer. A duplicator receives the data sets that will be or have been stored in the general ledger data base and delivers duplicates of those data sets that fulfil a predefined criteria in a procurement context. A source data base stores the duplicated data sets on a data line level. An extractor of the data sourcing layer interfaces with the data warehousing layer and selectively moves data contained in data lines or sets of data lines from the source data base to the data warehousing layer.

Abstract: Systems and techniques to generate statistical reports on transactions conducted via an electronic marketplace are based on data extracted from the transaction documents. In general, in one implementation, the technique includes receiving documents sent through an electronic marketplace, with each document including multiple data fields. Data is extracted from predetermined document data fields. The extracted data relates to a predetermined statistical category of transactions conducted through the electronic marketplace. The extracted data is stored, and a report corresponding to the predetermined statistical category is provided. The report includes an aggregation of the stored extracted data associated with the predetermined statistical category. In some implementations, a report may be generated that relates to information regarding global spending according to the buyer, seller, time period, product type, contract, and/or other parameters.

Abstract: Systems and techniques to generate statistical reports on transactions conducted via an electronic marketplace are based on data extracted from the transaction documents. In general, in one implementation, the technique includes receiving documents sent through an electronic marketplace, and extracting data from the documents. The extracted data may relate to a predetermined statistical category of transactions conducted through the electronic marketplace. The extracted data may be stored for each document, and the stored data may be aggregated according to the predetermined statistical category. In some implementations, a report may be generated that relates to a document flow analysis for documents sent through the marketplace according to the buyer, seller, time period, document type, and/or other parameters.

Abstract: A computer network architecture for making procurement-related information that has been generated on a transaction level available to data warehousing techniques is described. The network includes a transaction processing layer with at least one accounting component with a general ledger data base for centrally storing information contained in accounted-related data sets, a data warehousing layer and an additional data sourcing layer. A duplicator receives the data sets that will be or have been stored in the general ledger data base and delivers duplicates of those data sets that fulfil a predefined criteria in a procurement context. A source data base stores the duplicated data sets on a data line level. An extractor of the data sourcing layer interfaces with the data warehousing layer and selectively moves data contained in data lines or sets of data lines from the source data base to the data warehousing layer.

Abstract: A computer network architecture for making procurement-related information that has been generated on a transaction level available to data warehousing techniques is described. The network includes a transaction processing layer with at least one accounting component with a general ledger data base for centrally storing information contained in accounted-related data sets, a data warehousing layer and an additional data sourcing layer. A duplicator receives the data sets that will be or have been stored in the general ledger data base and delivers duplicates of those data sets that fulfill a predefined criteria in a procurement context. A source data base stores the duplicated data sets on a data line level. An extractor of the data sourcing layer interfaces with the data warehousing layer and selectively moves data contained in data lines or sets of data lines from the source data base to the data warehousing layer.

Abstract: A computer network architecture for making procurement-related information that has been generated on a transaction level available to data warehousing techniques is described. The network includes a transaction processing layer with at least one accounting component with a general ledger data base for centrally storing information contained in accounted-related data sets, a data warehousing layer and an additional data sourcing layer. A duplicator receives the data sets that will be or have been stored in the general ledger data base and delivers duplicates of those data sets that fulfil a predefined criteria in a procurement context. A source data base stores the duplicated data sets on a data line level. An extractor of the data sourcing layer interfaces with the data warehousing layer and selectively moves data contained in data lines or sets of data lines from the source data base to the data warehousing layer.

Abstract: Systems and techniques to generate statistical reports on transactions conducted via an electronic marketplace are based on data extracted from the transaction documents. In general, in one implementation, the technique includes receiving documents sent through an electronic marketplace, with each document including multiple data fields. Data is extracted from predetermined document data fields. The extracted data relates to a predetermined statistical category of transactions conducted through the electronic marketplace. The extracted data is stored, and a report corresponding to the predetermined statistical category is provided. The report includes an aggregation of the stored extracted data associated with the predetermined statistical category. In some implementations, a report may be generated that relates to information regarding global spending according to the buyer, seller, time period, product type, contract, and/or other parameters.

Abstract: Systems and techniques to generate statistical reports on transactions conducted via an electronic marketplace are based on data extracted from the transaction documents. In general, in one implementation, the technique includes receiving documents sent through an electronic marketplace, and extracting data from the documents. The extracted data may relate to a predetermined statistical category of transactions conducted through the electronic marketplace. The extracted data may be stored for each document, and the stored data may be aggregated according to the predetermined statistical category. In some implementations, a report may be generated that relates to a document flow analysis for documents sent through the marketplace according to the buyer, seller, time period, document type, and/or other parameters.