Description

Book Synopsis
Lead your organization to become evidence-driven

Data. Itâs the benchmark that informs corporate projections, decision-making, and analysis. But, why do many organizations that see themselves as data-driven fail to thrive? In Leading with AI and Analytics, two renowned experts from the Kellogg School of Management show business leaders how to transform their organization to become evidence-driven, which leads to real, measurable changes that can help propel their companies to the top of their industries.

The availability of unprecedented technology-enabled tools has made AI (Artificial Intelligence) an essential component of business analytics. But whatâs often lacking are the leadership skills to integrate these technologies to achieve maximum value. Here, the authors provide a comprehensive game plan for developing that all-important human factor to get at the heart of data science: the ability to apply analytical thinking to real-world problems. Each of t

Table of Contents
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


Leading with AI and Analytics Build Your Data

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    £20.69

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    RRP £22.99 – you save £2.30 (10%)

    Order before 4pm today for delivery by Sat 20 Jun 2026.

    A Hardback by Eric Anderson, Florian Zettelmeyer

    2 in stock

      Trusted by thousands of customers. See 2,385+ Customer Reviews

      View other formats and editions of Leading with AI and Analytics Build Your Data by Eric Anderson

      Publisher: McGraw-Hill Education
      Publication Date: 07/01/2021
      ISBN13: 9781260459142, 978-1260459142
      ISBN10: 1260459144

      Description

      Book Synopsis
      Lead your organization to become evidence-driven

      Data. Itâs the benchmark that informs corporate projections, decision-making, and analysis. But, why do many organizations that see themselves as data-driven fail to thrive? In Leading with AI and Analytics, two renowned experts from the Kellogg School of Management show business leaders how to transform their organization to become evidence-driven, which leads to real, measurable changes that can help propel their companies to the top of their industries.

      The availability of unprecedented technology-enabled tools has made AI (Artificial Intelligence) an essential component of business analytics. But whatâs often lacking are the leadership skills to integrate these technologies to achieve maximum value. Here, the authors provide a comprehensive game plan for developing that all-important human factor to get at the heart of data science: the ability to apply analytical thinking to real-world problems. Each of t

      Table of Contents
      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


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