pmOne has extensive know-how in data integration and analytics and is constantly faced with requirements such as connecting many data sources, data modeling and security. More and more use cases using new technologies such as the cloud, forecasting algorithms and artificial intelligence find various data sources for analytics already available combined with new sources to be explored and integrated. Existing approaches such as Extract-Transform-Load (ETL) do not keep up with ever larger amounts of data and agile / iterative project procedures, where around 80% of the effort goes into data provision and preparation. We therefore looked at different solutions such as Data Virtuality, Presto and Denodo. In this talk we share our observations related to these technologies. In particular, the expansion of existing analytical data with new sources in a logical data warehouse is a promising area of application for data science with virtualized data.