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Summary:
Lybra Clemons is an executive coach and human capital and culture strategist with 20 years of experience in HR, DEI, and talent management. She has previously held HR leadership positions at major financial and fintech companies including Twilio, PayPal, and Morgan Stanley.
In this episode, Lybra talks about the difference between data driven and data informed decision making; the major issues surrounding making decisions without data; and how AI might affect our data focused processes.
Chapters:
[0:00 - 7:02] Introduction
- Welcome, Lybra!
- Today’s Topic: Move Don’t Prove With Data Informed Decisions
[7:03 - 17:08] “Data driven” vs. “data informed”
- The importance of using data to “move not prove”
- How data-rich and data-poor processes affect decision making
[17:09 - 26:15] What major issues surround non-data-informed decision making?
- Using data (or implied data) to fit a narrative
- AI’s role in data informed decision making
[26:16 - 37:16] How to prepare for AI assistance in the workplace
- The importance of healthy skepticism
- Leaders have an obligation to think critically and qualitatively about data
[37:17 - 38:08] Closing
Quotes:
“Data informed goes along the lines of ‘we want to use data to move the needs’... versus to prove something.”
“This idea that everyone wants to be back in the office five days a week... this is where I think it’s the opposite of data driven; where there’s a lot of data and people just ignored it.”**Contact:**Lybra's LinkedIn)David's LinkedIn)Dwight's LinkedIn)Podcast Manger: Karissa Harris)****Email us!)****Production by Affogato Media)
