For automation, I am automating the data engineering portion so yeah, productionalizing models, documenting, version control, etc. There will be some pre-built

For automation, I am automating the data engineering portion so yeah, productionalizing models, documenting, version control, etc. There will be some pre-built models for a business operations person to explore but a data scientist can also build their own model in R and/or Python. For optimisation, exactly. Looking to guide your dataset exploration to help you find features faster. Summarise the data automatically and in the future, suggest which features may be useful or not while still leaving you as the expert to decide. For my domain of data science, it will be in the realm of model building. Think of it as more of a workflow tool to sync the data science team together. So the intention is to be tool agnostic. I’m also looking at reusable datasets that are certified and cleaned by data engineers or other team members as well as pre-cleaned data available for purchase to add to the model (looking to tap into free public open datasets as well) Hope that helps? Thanks for your comment. I’ll amend my post to make it clearer.