22 July 2021, 05 pm
Getting Executives to Support Data Science
Tori Oblad, Enterprise Data Officier at WaFD
Episode notes
We were recently joined by Tori Oblad, Enterprise Data & Analytics Officer at WaFd Bank.
Here are a few snippets from our conversation:
1:14 - Start of session
3:00 - How to build an internal data science community
11:40 - Showing the art of the possible
14:00 - How do you get others to lead topics and foster engagement?
26:17 - Writing starter scripts for new users
35:55 - When to use R or Python versus BI
36:38 - Building toy models in Excel to explain it to people / to build relationships with business
38:33 - Avoiding vendor lock-in, being technology agnostic
43:35 - How to build confidence with IT and compliance
49:15 - Working with business users and creating business value
53:21 - Getting business and executive support
1:22:30 - What data scientists should focus on when communicating with stakeholders: value
Subscribe to Data Science Hangouts on YouTube here
Add the Data Science Hangout to your weekly calendar
Featured in this episode
Tori Oblad • Enterprise Data & Analytics Officer at WaFd Bank
- Connect:
Hangout highlights
Focus on Communicating Value
Understand your Business Users
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/aboutYou don't have to register to join. You can add the event to your own calendar here:
https://www.addevent.com/event/Qv9211919There are three ways to ask questions during a live session:
- Raise your hand on Zoom and jump in the conversation live.
- Use the zoom chat.
- 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-callsThat'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
