Crédit Agricole
Crédit Agricole transformed their EDW into a data platform and enabled self-service initiatives and faster time-to-market.
Whether you want to build a semantic data access layer or simply replicate data in a central data warehouse, we have the right solution for you.
The unique combination of data virtualization and replication built to enable flexible and modern data architectures.
Self-service data pipelines to extract, transform and load data from any source to your central data warehouse.
Tailored to your use case, we will show you:
Explore how you can use the Data Virtuality Platform in different scenarios.
Learn more about the Data Virtuality Platform or to make your work with Data Virtuality even more successful.
Read, watch and learn what our customers achieved with Data Virtuality.
Find insightful webinars, whitepapers and ebooks in our resource library.
Learn how to use the Data Virtuality Platform with hands-on courses.
In this on-demand webinar, we look at how a modern data architecture can help data scientists to be faster and to work more efficiently.
Quickly advancing digital technologies and stricter regulatory requirements such as BCBS 239, SFTR, Solvency II, and GDPR have created the need for an increasingly intricate data management environment for financial institutions. Legacy best practices implemented for financial firms are typically outdated and can’t meet the increasingly demanding requirements from business and regulations.
The Data Virtuality Platform uniquely combines automated ETL and data virtualization and thereby creates a central data management layer which enables
Paired with further data management features, it ensures high data quality as well as security, shorter time-to-market cycles (up to 80%) and higher productivity.
Leipzig
Katharinenstrasse 15 | 04109 | Germany
Phone: +49 341 26437217
Munich
Trimburgstraße 2 | 81249 | Germany
Phone: +49 341 26437217
San Francisco
2261 Market Street #4788 | CA 94114 | USA
Phone: +1 650 898 0227
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Our mission is to enable businesses to leverage the full potential of their data by providing a single source of truth platform to connect and manage all data.