The AI-driven Data Team

Improve Your Analytics with AI
1. Auflage 2026
ISBN: 978-1-3986-2759-8
Verlag: Kogan Page Ltd

Buch, Englisch, 288 Seiten, Format (B × H): 156 mm x 234 mm

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 a 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

Autoren/Hrsg.

Kelly, Nicholas

Fachgebiete

• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Wissensbasierte Systeme, Expertensysteme
• Wirtschaftswissenschaften Betriebswirtschaft Unternehmenskommunikation
• Mathematik | Informatik EDV | Informatik Business Application Unternehmenssoftware
• Wirtschaftswissenschaften Betriebswirtschaft Bereichsspezifisches Management Management: Führung & Motivation
• Wirtschaftswissenschaften Betriebswirtschaft Management Unternehmensorganisation & Entwicklungsstrategien
• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Maschinelles Lernen
• Mathematik | Informatik EDV | Informatik Daten / Datenbanken Data Mining

Inhaltsverzeichnis

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

Über Autor(innen)

Kelly, Nicholas
Nicholas Kelly is a principal at G&K Consulting, based in Bonney Lake, Washington. 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

Nicholas Kelly is a principal at G&K Consulting. 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.