June Meetup: How to talk to business as a data scientist

Data science projects can go wrong in a million ways. To get it done well, you need to manage the expectations from day 0. How do you do this?

This talk by Merelda Wu distills the art form of "talking to business" to a list of non-scientific formulas that can be applied in your everyday life.
If any of the following resonates with you, join us:

1. The magic wand problem? Data doesn’t just give you “actionable insight”, you need to ask the right question.
2. Misaligned expectations? The classic case of what you say you want, is not what you really, really want.
3. The scope creep problem? Sure, of course I can re-write everything and give it to you five minutes ago.
4. The big data problem? No darling, you don’t have big data if it fits in Excel.
5. The confidence challenge? No, there’s no such thing as 100% accurate, also we use this thing called the F1 score.
6. The cloud challenge? Yes cloud would be great, but your data's gotta be there first though.

This talk shares some common problems faced in most data science projects. Some heart-aching stories will be shared, as well as some great tools and tips that will help you speak to your business logically, with tons of visual aid and zero mathematical equations.