A real-life example of how data scientists can make themselves redundant, by automating the entire chain from receiving data from an external source all the way to a nice visualisation. No fancy technologies involved.
- Mundane tasks take time & effort you don’t want to spend on them.
- You can often automate complex processes using basic tools.
- Multiple wins: save time & effort, make others less dependent on the data scientist, prevent human errors.