Upskill your data analytics team to deliver AI-enhanced insights for your business.
Rapidly transform your analytics teams to deliver AI-driven insights.
The AI-driven Data Team by Nicholas Kelly is a proven-to-work playbook for data and analytics leaders who want to align analytics capabilities with the demands of an AI-powered business environment. Written for leaders accountable for data, analytics and business intelligence, this book provides tools for diagnosing capability gaps among data analytics teams, modernizing legacy stacks and delivering AI-driven insights to help organizations make better decisions.
You'll learn how to:
- Diagnose skills gaps and map AI-augmented career paths
- Integrate modern AI tools with existing analytics stacks
- Launch six revenue-driving and cost-focused pilots in 90 days
- Embed ISO and NIST-aligned governance without slowing innovation
- Apply ROI calculators, governance checklists and sprint planners
Drawing on expert insights and real-world applications, this book helps you upskill your analysts, strengthen AI governance and provide AI-driven insights that drive real results..
Themes include: AI strategy, data governance, analytics leadership, ROI from AI, organizational transformation, executive decision-making
Section - ONE: Setting the Groundwork (Day -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 (Day 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 (Day 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 (Day 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
Nicholas Kelly is a principal at Delivering Data Analytics. He is a leader in data analytics and AI 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 analytics and AI adoption. He is the author of Delivering Data Analytics and How to Interpret Data, both published by Kogan Page. He is based in Seattle, WA.
