Data-Driven Culture: Metrics, Hiring Skills, and Effective Data Presentation - John Thompson - Ep 21

Описание к видео Data-Driven Culture: Metrics, Hiring Skills, and Effective Data Presentation - John Thompson - Ep 21

Today I spoke with John Thompson. He is an international technology executive with over 35 years of experience in the fields of data, advanced analytics, and artificial intelligence (AI). He is currently the Global Head of AI at EY.

John has built start-up organizations from the ground up and he has reengineered business units of Fortune 500 firms to reach their potential. He has directly managed and run - sales, marketing, consulting, support, and product development organizations.


LinkedIn:   / johnkthompson  


The MindSpeaking podcast is about the Human Side of Data. I invite thought leaders to spread their insights about data, communication, and personal development.


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Timestamps:
0:00 - Introduction
0:03 - John discusses importance of data literacy
2:28 - Discussion about book writing processes
3:02 - John's unique writing habits
3:54 - John's early morning routine
4:18 - Reflections on early career influences
5:13 - John's entry into data and analytics
6:10 - Insights on building analytics teams
6:27 - Lessons learned in team management
7:45 - Managing and valuing diverse talents
8:16 - Appreciating and recognizing individual contributors
9:35 - Recognizing potential in team members
11:05 - Essential traits for analytics professionals
11:56 - John's unique interview approach
13:26 - Enhancing communication within teams
15:20 - The role of creativity in data science
16:22 - Strategies for building a data-driven culture
18:35 - Importance of advanced communication skills
20:59 - Engaging the audience during Q&A
21:27 - Strategies for addressing mixed audiences
23:57 - Techniques for engaging audience questions
24:58 - Transitioning from presentation to discussion
26:16 - The art of storytelling in presentations
28:57 - Introduction of "Data for All" book
30:52 - Discussing risks of not understanding data privacy
32:17 - Rapid-fire personal questions
34:21 - Recap of key interview insights
35:29 - Closing remarks

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