Cloud data warehouses are at the heart of digital transformation because they require no hardware, are infinitely scalable, and you only pay data resources you consume. However, that’s not the whole story.
Azure Synapse, Amazon Redshift, Google Big Query and Snowflake all require real-time data integration and lifecycle automation to realize their full potential. Yet these two capabilities are not included, forcing you to hand-code ETL scripts to close the gaps. As a result, your developers are constrained and your data transfers are constricted, compromising your initial ROI.
However, all is not lost. Qlik Data Integration when used with cloud data warehouses can massively improve the productivity and ROI of your most critical analytic projects.
Download the Nucleus report to see how.
In this report you’ll learn:
- How logistic company Ewals Cargo Freight achieved a 400% productivity boost and payback within the subscription term
- How you can build your own business case for Data Warehouse Automation by identifying ROI, payback, NPV, TCO, and other metrics.
- Where to apply Qlik Data Integration for the greatest benefit.