The AI-Driven Data Team
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The AI-Driven Data Team
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 organisations 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, organisational transformation, executive decision-making
Book Details
INFORMATION
ISBN: 9781398627574
Publisher: Kogan Page Ltd
Format: Paperback / softback
Date Published: 03 July 2026
Country: United Kingdom
Imprint: Kogan Page Ltd
Audience: General / adult, Tertiary education, Professional and scholarly
DIMENSIONS
Spine width: 15.0mm
Width: 156.0mm
Height: 234.0mm
Weight: 666g
Pages: 288
About the Author
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.
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