Getting buy-in to adopt new tools
14 October 2021, 05 pm

Getting buy-in to adopt new tools

Paul Ditterline, Director of Data Science, Heaven Hill

Episode notes

Paul Ditterline, Director of Data Science, Heaven Hill, dives deep into the mechanics of a great data science team, covering topics like: the importance of small wins, ways to manage key performance indicators (KPIs), and adopting new tools within a team.

We were recently joined by Paul Ditterline, Director of Data Science at Heaven Hill Brands.

A few snippets:

27:06 - Small wins when implementing new tools
30:23 - How to prioritize KPIs
33:57 - Communicate what you're doing and why
35:39 - Getting buy-in to adopt new tools
39:24 - How often to revise a model in production
41:56 - Tips to be a better leader
50:36 - How to kick off the conversation to get approval to use R/Python
56:37 - When and why to use code-based over non-code-based tools

Subscribe to Data Science Hangouts on YouTube here
Add the Data Science Hangout to your weekly calendar

Featured in this episode
Rachael Dempsey
Rachael DempseyHost
Community Manager at RStudio
I love connecting people across the data science community to share what they're accomplishing with data and help others do the same through community discussions, industry meetups, and more.
Paul Ditterline
Paul DitterlineDirector of Data Science, Heaven Hill
I love driving company wide data based decision making to help the business provide consumers with the best spirits in the world!

Frequently asked questions

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:

  1. Raise your hand on Zoom and jump in the conversation live.
  2. Use the zoom chat.
  3. Use the slido link shared at the start of the call (can be anonymous)

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?

Upcoming calls

Previous calls