Alteryx
Lösung
Xtract Universal
Produkt

Customer & challenge

Covestro Deutschland AG

Covestro is one of the world’s leading manufacturers of high-quality plastics. They are a global supplier across a variety of industries including transportation, construction, housing, sports, healthcare, electronics and electrical engineering. As of 2023, Covestro reached €14.4 billion in sales while employing 17,500 people across 48 locations. By leveraging digital technologies and processes, Covestro is producing much more sustainably today than it did ten years ago.

Driving this effort is extensive data analysis and simulations,  driven by data from SAP. To continue this trend of sustainability, Covestro sought to improve accessibility of  SAP data to an Amazon S3 data lake, where it could then be consumed by reporting and analytics tools. However, there was not a native way to transfer data from SAP to Amazon S3 directly.

"With the use of Xtract Universal, we have significantly optimized the availability of SAP data for data analytics and innovative applications. By providing SAP data more quickly, we can shorten the cycle of our analyses and respond more agilely to current developments."

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Dr. Jörg Janssen, Team Lead Data Analytics, Covestro Deutschland AG

Solution with Xtract Universal

After testing several options, Covestro chose Xtract Universal for this data integration.

“I initially used the free trial version and was able to extract the first data from SAP and export it to our data lake within an hour,” recalls Andreas Bliss, Manager Data & Analytics Platform, Covestro Deutschland AG. “I only needed support when I encountered problems.” And even that support was excellent, says Bliss: “When I submit a ticket through the support portal, I get a competent response on the same day or, at the latest, the next day.”

Covestro utilizes Xtract Universal to transfer data from SAP ERP, SAP BW, and SAP IBP to their S3 data lake. After the data is transferred, it is processed further in Tableau (data analysis), Posit Connect (data visualization), Posit Workbench (data science), and other applications.

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