Читать книгу AI-Enabled Analytics for Business - Lawrence S. Maisel - Страница 2

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Table of Contents

Cover

Title Page

Copyright

Dedication

Acknowledgments

Introduction

PART I: Fundamentals CHAPTER 1: A Primer on AI-Enabled Analytics for Business AI AND ML—SIMILAR BUT DIFFERENT MACHINE LEARNING PRIMER ANALYTICS VS. ANALYSIS BI AND DATA VISUALIZATION VS. ANALYTICS BIASED VS. UNBIASED AI AND ROI CONCLUSION NOTES CHAPTER 2: Why AI-Enabled Analytics Is Essential for Business COMPETITIVENESS HUMAN JUDGMENT AND DECISION-MAKING CONCLUSION NOTES CHAPTER 3: Myths and Misconceptions About Analytics DATA SCIENTIST MISCONCEPTION AND MYTH SHOT IN THE DARK BASS-ACKWARD AI IS NOT IT BIG IS NOT BETTER NOT NOW NOTE TO EXECUTIVES CONCLUSION NOTES CHAPTER 4: Applications of AI-Enabled Analytics FINANCE SALES MANUFACTURING AND SUPPLY CHAIN DEMAND PLANNING AND INVENTORY CONCLUSION NOTES

PART II: Roadmap CHAPTER 5: Roadmap for How to Implement AI-Enabled Analytics in Business CULTURE MINDSET PEOPLE PROCESS SYSTEMS THE ROADMAP FOR IMPLEMENTING AI-ENABLED ANALYTICS LAUNCHING THE CULTURE OF ANALYTICS CONCLUSION NOTES CHAPTER 6: Executive Responsibilities to Implement Analytics EXECUTIVE COMMITMENT ANALYTICS CHAMPION CHANGE MANAGEMENT CONCLUSION NOTES CHAPTER 7: Implementing Analytics DEFINE THE PROBLEM SELECT AN ANALYTICS SOFTWARE POC VENDOR PERFORM THE ANALYTICS POC BENCHMARK PEOPLE SKILLSET SCALE ANALYTICS ILLUSTRATIVE EXAMPLE OF THE ANALYTICS POC ANALYTICS POWERHOUSE CONCLUSION NOTE CHAPTER 8: The Role of Analytics in Strategic Decisions HOW WE TRICK OURSELVES TACTICS THAT AFFECT STRATEGY KEY PERFORMANCE INDICATORS (KPIs) AND STRATEGIC OBJECTIVES THE ANALYTICS SCORECARD™ CONCLUSION NOTES

PART III: Use Cases CHAPTER 9: Cases of Analytics Failures from Deviation to the Roadmap MINDSET COMMITMENT INSUFFICIENT PEOPLE AND PROCESSES TOOLBOX CONFUSION CONCLUSION NOTE CHAPTER 10: Use Case: Grabbing Defeat from the Jaws of Victory POC RESULTS—REALIZING THE THREE GOALS THE ROI OF AI FAILURE IS A CHOICE NOTE CHAPTER 11: Use Case: Incremental Improvements to Gain Insights STARTING ANALYTICS TEST AND LEARN ASSESSING ANALYTICS PERSONAS MOVING FORWARD NOTE CHAPTER 12: Use Case: Analytics Are for Everyone THE ROAD TO ANALYTICS STEPPING INTO ANALYTICS ANALYTICS IS FOR ALL

10  Epilogue NOTES

11  APPENDIX: Analytics Champion Framework: The Fundamental Qualifications, Skills, and Project Steps for the Analytics Champion INTRODUCTION ANALYTICS CHAMPION QUALIFICATIONS ANALYTICS CHAMPION SKILLSETS STARTING AN ANALYTICS PROJECT EPILOGUE NOTES

12  About the Authors LAWRENCE S. MAISEL ROBERT J. ZWERLING JESPER H. SORENSEN

13  About the Website

14  Index

15  End User License Agreement

List of Tables

1 Chapter 5Table 5.1 Persona, tools, and usage.

2 Chapter 10Table 10.1 ROI from the analytics POC.

3 Chapter 11Table 11.1 Roadmap self-assessment by functional area.

4 2Table A.1 Definition of Hypothesis, Data, Math, and Dimensions.

List of Illustrations

1 Chapter 1Figure 1.1 Superset and subsets of AI.Figure 1.2 ML process.Figure 1.3 Deloitte analytics for decision-making.

2 Chapter 3Figure 3.1 Forecast error comparison.

3 Chapter 4Figure 4.1 Benchmark analytics business partner.Figure 4.2 Monte Carlo simulation.Figure 4.3 Fair Challenge.Figure 4.4 Sales deal path to close assessment.

4 Chapter 5Figure 5.1 From data to insights.Figure 5.2 Analytics Intelligence, decisions, and PersonasFigure 5.3 Informative vs. InsightfulFigure 5.4 People proportional soft skills.Figure 5.5 Tableau Executive Dashboard (https://www.tableau.com/solutions/it...Figure 5.6 Tableau Dashboard (https://www.tableau.com/products/desktop).Figure 5.7 Forecast comparisons and reasonability test.Figure 5.8 Proportion of people hard-skill utilization in an Analytics Cultu...Figure 5.9 Roadmap to implementing analytics.

5 Chapter 6Figure 6.1 Analytics culture readiness.

6 Chapter 7Figure 7.1 Five steps to implementing analytics.Figure 7.2 Trend and predicted trend direction.

7 Chapter 8Figure 8.1 BSC for PhoneCalls-R-Us.Figure 8.2 Analytics Scorecard.

8 Chapter 10Figure 10.1 Sales efficiency KPI.Figure 10.2 Tequila products report.Figure 10.3 AI-calculated three-month forecast.Figure 10.4 Correlation for the dinner meal period.Figure 10.5 Correlation for the late night meal period.

9 Chapter 11Figure 11.1 Spares planning predictive action report.

10 Chapter 12Figure 12.1 Trend of prediction.

11 AppendixFigure A.1 Project Management Principles for the AC.Figure A.2 Sample Gantt chart.Figure A.3 Project status reportFigure A.4 Heat map color explanations.Figure A.5 Components of strategic leadership.Figure A.6 Ready, willing, and able.Figure A.7 Systematic thinking about a plant.Figure A.8 Path of Hollywood stories.Figure A.9 Story path for management.Figure A.10 Analytics project path.Figure A.11 Pathways of death.

Guide

Cover Page

Table of Contents

Title Page

Copyright

Dedication

Acknowledgments

Introduction

Begin Reading

Epilogue

10  Appendix: Analytics Champion Framework

11  About the Authors

12  About the Website

13  Index

14  End User License Agreement

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AI-Enabled Analytics for Business

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