These are some of our successful stories of our clients showcasing how Datavault Builder improved their agility, time-to-market and reliability of data.
BI-SPEKTRUM article: SAP-Greenfield Data Warehouse with Data Vault (German)
Flexible and High-Performance Reporting: They achieved this by leveraging scalable cloud technology, Snowflake on AWS.
Consistent View of SAP-ERP Landscape: C&A utilized SAP-BW extractors to provide a consistent view of SAP data for analysis, resulting in significant cost savings. However, custom interfaces were required for areas without SAP-BW extractors.
Supporting Agile Practices: The combination of a Data Lakehouse approach with Data Vault proved advantageous for short iterative development cycles. This allowed rapid access to existing data in the Data Lake and simplified technical debt management through model adjustments and reloading.
Data Warehousing for Medium-Sized Businesses - Impact at the Speed of Light
Modern Data Warehousing and data-driven analytics are possible for medium-sized globally operating companies through automation of many steps in the data pipeline and the standardization of these steps using Datavault Builder, even in small teams.
The benefits of Data Vault 2.0 acceleration can be increased significantly through the use of automation tools.
SAP data can be efficiently and sustainably integrated using Theobald Software and Datavault Builder.
Nightly loading processes have been reduced from approximately 6 hours to 18 minutes.
Standardization brings advantages in terms of traceability, scalability, and a significant reduction in maintenance costs.
The return on investment (ROI) is positive after 9 months due to increased productivity and cost savings in maintenance.
EGYM finds the perfect modern datawarehouse solution with Datavault Builder
Small Team, big impact – team of two data specialists develop and manage Data Warehouse Solution with Datavault Builder and enable BI users for Self Service.
Fully automated data pipeline – covering the data from the data generation to data analysis.
Agile development approach has significantly increased time to market.
Scalable Solution – Millions of rows daily. Initial Load with billions of rows.
