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The Data Strategy Show

The Data Strategy Show

Auteur(s): Samir Sharma
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 This podcast explores the relationship between data strategy and business strategy. A fireside chat between the host Samir Sharma and executives from across industries. We will wax lyrically about all things to do with Data Strategy and how it drives business growth. Join Samir Sharma and his guests to gain insights into how organisations drive their strategic growth objectives using data.Samir Sharma Développement commercial et entrepreneuriat Entrepreneurship Gestion et leadership Économie
Épisodes
  • Season 4 Ep 21: Sophie Fraser

    Season 4 Ep 21: Sophie Fraser
    Mar 14 2026

    I sat down with Sophie ad here is what we talked about:

    • Introduction and Background (0:04)
    • Education and Career Journey (2:22)
    • Patterns in Women's Behavior and Challenges (4:19)
    • Growth Mindset and Overcoming Limiting Beliefs (9:00)
    • Frameworks and Practical Tools for Change (23:07)
    • Alignment of Personal and Organizational Goals (40:06)
    • Education and Personal Development (40:38)
    • Final Thoughts and Contact Information (44:50)
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    46 min
  • Season 4 Ep 20: Carla Francome

    Season 4 Ep 20: Carla Francome
    Mar 6 2026

    I sat down with Carla and here is what we discussed:

    • Introduction and Background of Carla (0:04)
    • Transition from TV to Tech (1:05)
    • Challenges for Women in Tech (3:13)
    • Representation and Diversity in Tech Events (5:25)
    • Communication Skills and Storytelling in Tech (9:27)
    • Overcoming Impostor Syndrome and Building Confidence (22:16)
    • Advice for Women Entering Tech (32:56)
    • Final Thoughts and Encouragement (37:46)
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    38 min
  • Season 4 Ep 19: Lydia Ray

    Season 4 Ep 19: Lydia Ray
    Feb 26 2026

    I sat down with Lydia and here is what we discussed:

    • Introduction and Background of Lydia Ray (0:04)
    • Career Transition and Early Experiences (1:47)
    • Challenges and Regrets in Career Choices (7:14)
    • Mentoring and Risk-Taking Among Women (8:02)
    • Advocacy for Women in Tech (19:58)
    • Educational Challenges and Future Plans (20:13)
    • Advice for Graduates Interested in AI and Data (23:10)
    • Conclusion (28:15)
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    29 min
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