Understanding the Impact of Data Science with Frank Corrigan

5 August 2021, 05 pm

Frank Corrigan | Understanding the Impact of Data Science

Director of Decision Intelligence at Target

Episode notes

We were recently joined by Frank Corrigan, Director of Decision Intelligence at Target.

6:38 - Problem formation - trying to find the unknown unknowns and bringing them to the business
8:20 - Integrating your data science team into your company's business objectives (ex. newsletter)
10:50 - What is the divide between a business analyst and a data scientist, in your eyes? How business analysts and data scientists differ
15:32 - What is the biggest mistake you’ve made in your role and what did you learn from this mistake?
19:15 - Onboarding new team members effectively
25:00 - The importance of motivating non-data scientists
26:42 - Resources for data scientists
32:30 - Challenges when using different tools across a data science team
49:28 - Analytical thinking vs critical thinking skills
57:30 - Embracing the 80/20 Rule & the importance of Focus Time
1:02:48 - Two frameworks to be more effective with stakeholders
1:06:47 - Rebranding to "decision intelligence"
1:08:35 - Quantitatively measuring impact from data science insights

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Featured in this episode

Rachael Dempsey • Host

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.

Frank Corrigan • Guest

Director, Decision Intelligence at Target

Building Decision Intelligence for Supply Chain at Target. He believes blending model thinking with data science is the best way to provide decision-makers with multiple perspectives needed to continuously increase the probability of good outcomes.

Connect:
LinkedIn

Hangout highlights

Measuring Impact from Data Science Insights

Two Frameworks to be More Effective with Stakeholders

Integrating your Team with Business Objectives

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:

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All of the recordings from past sessions are shared here:

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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?

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