Best practice for getting data from csv file

Hi,

I just heard about Power BI ability to connect to csv files located on SharePoint online then automatically create a dataset.  And I'm wondering if there would be some benifits to update my current ETL strategy.  I'm not concern about refreshing the data because we get updated data only once a month but I'd like to be sure I'm using Microsoft product for what they were intended for and with the optimal architecure.

Currently, I use 3 dataflows to import data into Power BI Services. 

All sourced from csv files located in SharePoint online.

With a few transformations (rename headers, a few calculated columns and some value replacement)

1. Fact table #1 : ~500k rows
2. Fact table #2 : ~60k rows
3. 10 dimension tables, 1 dimension has ~20k rows but the others are all under 1k.

Then I use 2 datasets.  In each dataset I created a star model with 1 fact table and its related dimensions.

Most transformations and data prep steps are done in the datasets.

Those datasets are used for many official reports AND and are available to analyts across the organisation.

Should I drop the dataflows and rethink the dataset to connect directly to the csv files located in Sharepoint online or it is actually more robust the way I designed it ??

Thank you

--mo