Use data intelligence to process distributed data

SAP Data Intelligence is a comprehensive data management solution that connects, discovers, enriches, and orchestrates disjointed data assets into actionable business insights at enterprise scale.

It enables the creation of data warehouses from heterogeneous enterprise data, simplifies the management of IoT data streams, and facilitates scalable machine learning. SAP Data Intelligence allows you to leverage your business applications to become an intelligent enterprise and provides a holistic, unified way to manage, integrate, and process all of your enterprise data. 

With SAP Data Intelligence you can:

• Discover and connect to any data, anywhere, anytime from a single enterprise data fabric
• Transform and augment data across complex data types and curate a robust, searchable data catalog
• Implement intelligent data processes by orchestrating complex data flows enriched with scalable, repeatable, production-grade machine learning pipelines

Companies need to gain business value from massive amounts of data to improve internal processes such as fraud prevention, predictive maintenance, and supply chain optimization. However, it is difficult to transform large volumes and varieties of data coming from SAP and third-party systems. SAP Data Intelligence equips you with data integration, data innovation, and data compliance.

With SAP Data Intelligence, you can:

• Integrate any data, solving the data deluge program
• Reuse any engine and orchestrate any SAP or third-party data processing engine
• Democratize intelligence by making machine learning easier to implement, scale, operationalize, and govern
• Ensure data quality by discovering, preparing, and governing data assets in the same tool
• Deploy on any mix of hyperscalers, whether hybrid or on premise

• Data stewards can use an organization’s data governance processes to ensure fitness of data elements – both for content and metadata.
• Chief data officers can better ensure enterprise-wide governance and use of information as an asset through data processing, analysis, data mining, information trading, and other means.
• Data warehouse administrators can support the development and maintenance of data warehousing and data mart systems through the entire data development lifecycle, including data profiling, design and development, testing, and support.
• Business analysts can help guide businesses in improving processes, products, services, and software through data analysis, helping bridge the gap between IT and the business to improve efficiency. They can also use data analytics to assess processes, determine requirements, and deliver data-driven recommendations and reports to executives and stakeholders.
• CIOs can help their organizations manage requirements they may not understand as well as deploy and scale data science with confidence and at a lower cost.

SAP Data Intelligence goes beyond classic batch ETL or real-time streaming. It scales these functions and leverages these technologies across the enterprise, which cannot be accomplished by traditional ETL engines. It also focuses on the integration of new technologies (for example, Docker and Kubernetes) operating in distributed landscapes. The main paradigm is to bring the logic to where the data resides and leverage the computing power. ETL cannot handle the volume of data and the constantly increasing number of different systems, sources, and consumption points in these complex data landscapes. It will continue to serve its current function while SAP Data Intelligence allows scalability across these modern landscapes.