The AI-Driven Data Team
Improve Your Analytics with AI
1st Edition
Will be published approx. on 3. July 2026
Book
Hardback
288 pages
978-1-3986-2759-8 (ISBN)
Description
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 governance without slowing innovation
- Apply an ROI framework, governance checklist and 90-Day Charter
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
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 governance without slowing innovation
- Apply an ROI framework, governance checklist and 90-Day Charter
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
More details
Language
English
Place of publication
London
United Kingdom
Target group
Professional and scholarly
Product notice
Cloth over boards
Dimensions
Height: 234 mm
Width: 156 mm
ISBN-13
978-1-3986-2759-8 (9781398627598)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Other editions
Additional editions
Book
approx. 07/2026
1st Edition
Kogan Page Ltd
€41.00
Not yet published
Person
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.
Content
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
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