👋 About This Knowledge Graph

Hi - I'm Babak, and I work for Orion Innovation.

This knowledge graph contains 18 concepts and 70 relationships that map the landscape of data strategy. Each concept is a node, and each relationship is an edge connecting related concepts.

I was putting together a data strategy diagram for a blog post, but it quickly got too complex to follow. So I built this interactive knowledge graph to make it easier to explore and understand.

If you spot something missing or have ideas to make it better, DM me with your feedback – I will respond!

📊 Overview

This app provides an interactive map of the key concepts and relationships in modern data strategy. Think of it as a visual guide showing how all the different pieces—from business strategy down to technical and data architecture—fit together to create real business outcomes.

• 18 core concepts across strategy, governance, tech, delivery, and culture
• 70 connections showing how everything ties together
• Filter buttons to focus on what matters to you
• Tooltips and details when you hover or click
• Interactive exploration because static diagrams are boring

Strategic Pathways

See how these concepts connect in real-world scenarios. Explore strategic pathways for practical examples of achieving business goals.

• 📈
  Business Growth – Drive revenue through data-powered customer insights and personalization
• 🛡️
  Risk & Compliance – Manage regulatory requirements and operational risk
• ⚙️
  Operational Excellence – Optimize processes, reduce costs, and improve quality
• 🤖
  AI/ML Innovation – Build intelligent capabilities that scale from experiment to production
• 🤝
  Data Products & Partners – Create ecosystem value through external data sharing and monetization

Visit the Pathways page to explore each scenario. Each pathway highlights the relevant concepts and connections, showing the journey from strategy to outcome.

How This Got Built

This whole thing was vibe-coded with GitHub Copilot and Claude AI. Rather than manually implementing each function and component, I provided high-level specifications in natural language, and Copilot generated the code. The result was a rapid, iterative human–AI development loop focused on application functionality, design, and validation over line-by-line coding.