Nate Kratzer, Data Science Manager at Brown-Forman, speaks passionately about the impact of data science on the whiskey industry. Also: how data science leaders can effectively market data science to the rest of the organization so value is clear.
A few key snippets from our conversation:
01:31 - Start of session
11:11 - The very first Shiny app we deployed
11:57 - How do you calculate the ROI of data science?
13:52 - What a data science tech stack in the liquor industry looks like
21:20 - Marketing data science to your colleagues vs them coming to you with projects
23:43 - How we think about Shiny and BI Tools
27:26 - Example that would need to be a data science visualization instead of BI dashboard
44:50 - Supporting both Python and R
39:58 - Specialized skills vs general skills
An audience-led conversation held on Zoom focused on data science leadership that is open to all every Thursday at 12 ET. You can check out the recordings on this site as well! Learn more on the About DSH page here:https://www.rstudio.com/data-science-hangout/about
You don't have to register to join. You can add the event to your own calendar here:https://www.addevent.com/event/Qv9211919
There are three ways to ask questions during a live session:
All of the recordings from past sessions are shared here:https://www.rstudio.com/data-science-hangout/live-calls
That's up to you. The host, Rachael usually opens up the discussion by asking the featured leader what they are most excited about in data science currently, and then we turn the questions over to the audience. Here are a few examples of questions that have come up before:
What is the divide between a business analyst and a data scientist?
What is the most unique problem you've had to solve in your industry?
My leaders refer to our BI tools when asked about data science, do you consider BI data science? Why/why not?
Did you always have managing skills/people skills, or did you have to learn them?
Could you define levels of data science maturity for companies?