Eric Anderson, Florian Zettelmeyer

Leading with AI and Analytics: Build Your Data Science IQ to Drive Business Value

• Gebundenes Buch

Produktbeschreibung

From the experts at Kellogg School of Management-an indispensable primer for leaders seeking to seize the competitive advantage using the newest data and AI tools and strategies Written for anyone in a leadership or management role-from C-level to unit/team leaders to rising talent-Leading with AI and Analytics helps you make real, measurable changes that launch your company to the top of your industry. Using illustrative case studies, it provides the knowledge and insight you need to make effective decisions, create a game plan for making use of analytics and AI in strategic ways, and boost the performance your organization. This comprehensive, easy-to-understand guide takes you through the process of: .Developing a mastery of this all-important subject .Leading and scaling analytics and AI throughout your organization .Improving decision-making and performance at every level Leading with AI and Analytics is for anyone who wants to move from best-guess decision-making to truly evidence-based decisions-the kind that create industry-dominating companies.

Produktdetails

• Verlag: McGraw-Hill Education
• Seitenzahl: 352
• Erscheinungstermin: 8. Dezember 2020
• Englisch
• Abmessung: 236mm x 159mm x 38mm
• Gewicht: 590g
• ISBN-13: 9781260459142
• ISBN-10: 1260459144
• Artikelnr.: 59910462

Inhaltsangabe

SECTION 1
Introduction
CHAPTER 1 AI and Analytics Are a Leadership Problem
CHAPTER 2 A Framework for AI and Analytics Success
SECTION 2
Consuming AI and Analytics
CHAPTER 3 Exploratory Analytics: What Is Going on with My Data?
CHAPTER 4 Distinguishing Good from Bad Analytics
SECTION 3
Actively Participating in AI and Analytics
PREDICTIVE ANALYTICS
CHAPTER 5 Anatomy of a Crystal Ball
CHAPTER 6 A Smarter Crystal Ball
CAUSAL ANALYTICS
CHAPTER 7 Designing Your Data for Analytics:
Experiments and Quasi-Experiments
CHAPTER 8 Working with Data You Have Part 1:
Using Opportunistic Data
CHAPTER 9 Working with Data You Have Part 2:
Learning from Natural Experiments
MAKING DECISIONS
CHAPTER 10 Optimizing and Scaling Your Decisions
SECTION 4
Executing on AI and Analytics
CHAPTER 11 Identifying Opportunities and Planning for AIA
CHAPTER 12 Understanding Barriers to Success
CHAPTER 13 Organizing for Success
SECTION 5
Success Stories with AIA
STORY 1 Allstate Builds Firmwide DSIQ
STORY 2 Vanguard Builds an Ecosystem of Analytics Excellence
STORY 3 Canadian Tire Creates an Enterprisewide
Analytics System
STORY 4 Royal Caribbean Sets Sail for Continuous
Analytics Improvement
STORY 5 Accenture Builds Analytics Capability for
Competitive Advantage
Acknowledgments
Notes
Index