by agiledata | Mar 22, 2024 | No Nonsense Agile Podcast, Podcast
Join Murray Robinson and Shane Gibson as they chat with Ron Westrum about how organisational culture drives innovation and disaster. We discuss generative, bureaucratic and pathological cultures, using real-world examples from NASA, Boeing and others. This episode highlights the importance of leadership integrity, openness, honesty, the free flow of information, and a mission-focused approach to achieving organisational goals. Listen for insights on identifying and promoting a generative culture, dealing with bad news, the role of technical maestros, and much more.
by Hai Vu | Mar 13, 2024 | AgileData Way of Working, Blog, What is
I’m Hai, a name that intriguingly means “hi” in English. Originally from Vietnam, I now find myself in Australia, studying Data Science and embracing an internship at AgileData.io. This journey is not just about academic growth but also about applying my knowledge in practical, impactful ways. Join me as I explore the blend of technology and community, aiming to make a difference through data.
by agiledata | Mar 8, 2024 | No Nonsense Agile Podcast, Podcast
Join Murray Robinson and Shane Gibson as they chat with Jack Skeels about agile for digital and marketing agencies. Jack advocates for reducing the managerial overhead in organisations to promote productivity and improve communication. We discuss common hurdles in agile implementations. The value of a manager as a sports coach. The importance of scoping the work. Over managing and how real change must start from the top. This episode is full of practical advice and critical insights into organisation dynamics. This conversation is especially useful for those seeking to implement agile in a more holistic, efficient, and outcome oriented way in a service provider.
by agiledata | Mar 5, 2024 | AgileData Podcast, Podcast
Join Shane Gibson as he chats with Dylan Jones on how to adopt patterns used by successful data consultancies and apply them in your organisation as an internal data team.
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