Welcome to The Data Flow Map blog! This space is dedicated to exploring the concepts, applications, and thinking patterns that make data analysis more effective and intuitive.

What to Expect

In this blog, we'll dive deeper into topics from the book, including:

  • Conceptual frameworks for understanding data transformations
  • Practical examples across different tools and platforms
  • Case studies applying the Data Flow Map methodology
  • Tips and techniques for clearer data communication
  • Updates and resources for readers and practitioners

The Three Core Motions

At the heart of The Data Flow Map are three essential movements that guide every data analysis:

  1. Source - Bringing data into your workspace
  2. Focus - Narrowing down to what matters
  3. Build - Creating new insights and transformations

These simple motions, combined with section tagging, provide a universal language for thinking about data work regardless of the tool you're using.

Join the Conversation

Whether you're working in Python, SQL, Excel, or any other analytics platform, the Data Flow Map framework helps you think at a higher level. This blog will continue that conversation with practical insights and real-world applications.

Stay tuned for more posts on data analysis, visualization, and the art of clear thinking about data flows.