Use data intelligence to process distributed data
Provide your users with intelligent, relevant, and contextual insights with integration across the IT landscape.
Provide your users with intelligent, relevant, and contextual insights with integration across the IT landscape.
Find out why SAP was recognized as a leader in the latest Forrester Wave for Enterprise Data Fabric.
See why SAP was recognized as a leader in the latest Gartner MQ reports for metadata management, data quality and data integration.
Learn how data orchestration helps you extend your data integration across hybrid landscapes and complex data types.
Sign up for the SAP Data Intelligence interactive demo to learn how to connect with any system across your distributed landscape and merge, profile, and prepare data by using metadata management.
See how Kaeser Kompressoren is reshaping it´s business model to provide "air-as-service" to its global customer base.
Learn how this company slashed system admin tasks by 50% by automating the processing of product specs from its suppliers.
Hear how Endress + Houser leverages their data assets and drives innovation for their customers through Artificial intelligence.
Discover how Hartmann found a way to unify, access, and analyze data across multiple internal and external sources.
Learn how ACA get insights about field conditions by integrating and analyzing satellite and drone imagery, weather data, and data on farms.
“Integrates well with other Data Management tools already in place and helps segregate and group data from Multi-Sources and Domains using metadata catalogs”
“SAP Data Intelligence is the tool that I recommend without having to think about it more than once, it is the most suitable for improving business processes related to data.”
“SAP Data Intelligence helps us to engage with ML models to improvise our business to fix issues before it causes any larger impact.”
“SAP Data Intelligence has proved useful to us with its ability to pull from a variety of data sources and is well suited to this. It is also more than capable of cleansing out data without a great deal of issues. It is well suited to running a variety of different ML models including the use of python and R.”
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