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How to Build Data Strategies That Actually Work
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Inhalt bereitgestellt von Graeme Crawford. Alle Podcast-Inhalte, einschließlich Episoden, Grafiken und Podcast-Beschreibungen, werden direkt von Graeme Crawford oder seinem Podcast-Plattformpartner hochgeladen und bereitgestellt. Wenn Sie glauben, dass jemand Ihr urheberrechtlich geschütztes Werk ohne Ihre Erlaubnis nutzt, können Sie dem hier beschriebenen Verfahren folgen https://de.player.fm/legal.
The episode of Transformed with Data podcast, Graeme Crawford talks with Dylan Anderson, head data strategist at Profusion and creator of the Data Ecosystem newsletter, about why most data strategies fail and how to build systems that actually deliver business outcomes. Dylan shares insights from his recent study of 25-30 data leaders, revealing that successful data transformation requires focusing on business value over technology choices, and that most organizations are more excited about using AI to improve data quality and existing infrastructure than pursuing cutting-edge agentic AI. The conversation explores the critical gap between data architecture and action, emphasizing how data teams must connect their work directly to business strategy and develop strong stakeholder relationships to succeed.
Chapter Timestamps:
0:00 - AI knowledge and marketing strategy
4:30 - Data leaders research study overview
7:45 - AI adoption in enterprise reality
11:50 - Using Claude for newsletter writing
16:20 - Visual frameworks and Excalidraw tools
19:45 - Business strategy temple framework
23:30 - Shared definition of business success
27:00 - Data maturity assessment introduction
29:15 - Learning to leverage team expertise
33:20 - Poor data infrastructure costs
37:10 - CRM implementation challenges
41:25 - Growing newsletter to 7500 subscribers
45:30 - LinkedIn algorithm and content strategy
48:00 - Future hopes for data industry
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