Here we delve into the principles of influence and persuasion as outlined in foundational texts. We discuss the importance of psychological insights in enhancing data-driven decision-making and the role of soft skills in the success of data professionals. Emphasizing practical applications, the conversation explores how to effectively implement these principles in the world of data science and analytics.Connect with us:• Website: https://thedatastorytellers.com/• LinkedIn: https://www.linkedin.com/company/the-data-storytellers• Spotify: https://open.spotify.com/show/2N0vZtHZHgod4Tll2LX2xa• YouTube: https://www.youtube.com/channel/UCz9e56lhYUfORiOHMiLlPmA• Apple Podcast: https://podcasts.apple.com/gb/podcast/the-data-storytellers-podcast/id1493766476Chapters:00:00 - Introduction to the podcast and foundational book00:54 - Discussing Robert Cialdini's Influence and its relevance02:53 - The impact of the book on interns and early career professionals05:00 - The stages of learning and their application in data science07:50 - Practical applications of Cialdini's principles in data roles14:48 - Overview of the six principles of influence19:24 - Ethical considerations and genuine applications in data science23:27 - Challenges of applying influence principles in corporate settings27:36 - Ineffectiveness of certain influence tactics in modern data roles39:03 - Adapting scarcity and prioritization in data science projects1:01:15 - Midway recap and key takeaways1:12:45 - Real-world examples and case studies1:25:30 - Strategies for building influence in data teams1:37:10 - Final thoughts and concluding remarks

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