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Leading with AI and Analytics: Build Your Data Science IQ to Drive Business Value 1st Edition Anderson – eBook PDF

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

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Leading with AI and Analytics: Build Your Data Science IQ to Drive Business Value – Ebook PDF Instant Delivery – ISBN(s): 9781260459159,1260459152

Product details:

  • ISBN 13: 9781260459159
  • ISBN 10: 1260459152
  • Author: Eric Anderson, Florian Zettelmeyer
Lead your organization to become evidence-driven Data. It’s 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 what’s 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 these tools and techniques comes to powerful life through a wealth of powerful case studies and real-world success stories. Inside, you’ll find the essential tools to help you: Develop a strong data science intuition quotient Lead and scale AI and analytics throughout your organization Move from “best-guess” decision making to evidence-based decisions Craft strategies and tactics to create real impact Written for anyone in a leadership or management role—from C-level/unit team managers to rising talent—this powerful, hands-on guide meets today’s growing need for real-world tools to lead and succeed with data.

Table 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

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