Understanding the Impact of Data Science
Frank Corrigan
Episode notes
We want to help data science leaders become better. The Data Science Hangout is a weekly, free-to-join open conversation for current and aspiring data science leaders. An accomplished leader in the space will join us each week and answer whatever questions the audience may have.
We were recently joined by Frank Corrigan, Director of Decision Intelligence at Target.
A few snippets:
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
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.
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.
