Hello Igor,
that's actually a good question!
Using R in HANA is a very good approach but you have to be a good developer and know how to use HANA Studio on top of being expert in predictive algorithms.
If you want to think more about the pure 'data science' part of your tasks rather than on the 'IT' part of development then a tool such as SAP Predictive Analytics can help.
With SAP Predictive Analytics e.g. you have a UI for doing data preparation instead of developing code for that. Similarly, in the application you have pre-build visualizations which can show you the results of your algorithms and help in their analysis.
Moreover SAP Predictive Analytics already provides ready-to-use algorithms, can connect to the existing HANA predictive libraries or can consume R: you just have to drag & drop one of those algorythms and not worry about writing them.
Last but not least, SAP Predictive Analytics contains an 'Automated' mode where various tasks which usually take a lot of time are automated as much as possible (e.g. a large part of data preparation, the application of the model to new data, the deployment of the model into a database or inside an existing programming code and the lifecycle management of your models).
This is quite a short summary of what you can do with SAP Predictive Analytics, overall I would say that the value is to let you concentrate on the high value tasks of a predictive project by taking care of some 'routine' tasks.
Hope that it helps
Best regards
PPaolo