Nicholas Kelly is a principal at Delivering Data Analytics. He is a leader in analytics adoption having designed and developed dashboards for some of the world's largest companies, from global banks to Formula 1 teams. He is a frequent speaker at international conferences, has trained thousands of professionals in data visualization and analytics adoption and is the inventor of the Dashboard Wireframe Kit. He is based in
Bonney Lake, WA.

• Section - ONE: Setting the groundwork (days -14 to 0);
• • Chapter - 01: Building the AI-driven data team;
  • Chapter - 02: AI as a force-multiplier;
  • Chapter - 03: Mindset reset;
  • Chapter - 04: Skills and tools matrix;
  • Chapter - 05: Building your AI-ready team;
  • Chapter - 06: Upskill vs. hire vs. outsource;
  • Chapter - 07: Readiness audit;
  • Chapter - 08: The 90-day charter;
• Section - TWO: Sprint 1 – foundations and upskills (days 1 to 30);
• • Chapter - 09: Kill the bottlenecks;
  • Chapter - 10: Coding copilots;
  • Chapter - 11: Analytics engineering reimagined;
  • Chapter - 12: Redesigned workflows;
• Section - THREE: Sprint 2 – six quick-win pilots (days 31 to 60);
• • Chapter - 13: Selecting lighthouse use cases;
  • Chapter - 14: Minimum-viable AI stack;
  • Chapter - 15: Build, buy, or extend;
  • Chapter - 16: Pilot execution playbook;
• Section - FOUR: Sprint 3 – scale and govern (days 61 to 90);
• • Chapter - 17: Lightweight machine learning;
  • Chapter - 18: Plain-English governance;
  • Chapter - 19: Bias, privacy, and security;
  • Chapter - 20: Storytelling that lands – explaining models everyone can trust;
• Section - FIVE: The AI flywheel (day 90+);
• • Chapter - 21: Measuring impact – from hours saved to decision velocity;
  • Chapter - 22: Learning loops and communities;
  • Chapter - 23: The human in the loop;