Various Sources and Streams can get connected (e.g. SAP Systems, Oracle, IBM, Excel). Structural metadata specifies access to Data Objects (e.g. Sales Orders) and Data Tables.
Usual deployment options ensure that the data never leaves your own Corporate Network.
Semantically identical metadata integrate to homogenious Data Sources.
Filters can be preconfigured, so that these Data Sources have a minimal impact on the source system.
Use connected Sources to solve Business Problems.
If the homogenization of Objects is required or new objects need to be modeled on the fly, this is possible with the Business Objects Builder.
Data Transformations can be executed on models, without reloading data structures like Cubes. Filters are dynamically forwarded to the source for further improved performance.
The API Writer has the capability to write data back in one or several source systems. Event based, scheduled and manual triggers are available. This functionality enables to a closed circuit system, which is required for e.g. Data Quality Improvement projects.
The Simulation Workbench enables business users to analyze data with Machine-learning Algorithms.
R-Server is used as open source industry standard to run Data Science Algorithms. This enables to reuse already existing internal IP.
With the REST Web API existing systems can be used as presentation layer to proceed with reporting tasks.
With the Service UI a machine to machine communication can be established, where our platform is used as decision trigger for sophisticated process automation.
Our next generation semantic integration platform is based on 3 layers: