Working with data inevitably means organizing it. Especially in advanced analyses with artificial intelligence (AI), the combining, preparation and cleaning of the data determine a large part of a analytical project. In order to achieve the defined analysis goal, different data formats such as streaming data, relational data and Excel files have to be joined. The merging and data preparation is ad-hoc and must withstand ever-increasing data volumes.
While data integration and preparation is also possible in traditional systems, these are mostly specialized for expert users. Modern data management platforms for AI projects, however, are a place for collaboration and bring diverse users close to data. Visual representations of processes, a flow supportive user experience, and a low-code mentality keep barriers to entry low and clear the way for self-service analytics.
The data management solution SAP Data Intelligence combines usability for beginners, functionality for experts and scalability of data processing in one system. The successor to SAP Data Hub with the integration of SAP Leonardo Machine Learning has been available to end customers since 2019 and is being continuously developed.
Due to the central access to different data sources, data ratings and commenting functions, Data Intelligence can be used as a creative space for individual data projects with AI content. Due to the low entry threshold, business users can be inspired to implement their own ideas. The Data Science Journey is flexibly guided by the structure of the ML Scenario Manager.
Your Machine Learning projects will benefit most from Data Intelligence. The bundling of project information in the ML Scenario Manager, the realization of complex workflows in the Modeler and the execution including extracted target metrics are only a few advantages worth mentioning. The versioning and transparency also convinces expert users.