#028 - Mapping Data Sources and Quality - Wardley Mapping for Startups

Mapping Data Sources and Quality

Join hosts Mark and Tom as they unravel the complexities of data strategy for GenAI startups. Learn how to map your data sources, assess quality, and navigate potential pitfalls in the AI frontier. Discover why successful startups don't just consume data - they cultivate it. Packed with insights, analogies, and a dash of humour, this episode is a must-listen for anyone looking to leverage data for AI success. Resources include a link to our Wardley Map and recommended readings on data strategy and management.

Chapter: Chapter 3: Navigating Technical Challenges and Opportunities
Section: Data Strategy and Management

Key Takeaways:
• Data is the lifeblood of GenAI startups - treat it as a strategic asset
• Use Wardley Mapping to visualise and analyse your data ecosystem
• Assess data quality based on accuracy, completeness, timeliness, and relevance
• Consider the evolution of data sources over time
• Balance data opportunities with privacy and regulatory challenges

Additional Resources:
• Original Book: Read the full book on Medium
• Wardley Map: https://create.wardleymaps.ai/#clone:3691bd5f9d78a4bec2

#WardleyMaps #GenAI #Podcast

Note:
This content was generated using Generative AI. While efforts have been made to ensure accuracy and coherence, readers should approach the material with critical thinking and verify important information from authoritative sources.