AI-Enabled Analytics for Business - Lawrence S. Maisel

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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

      1  Cover Page

      2  Table of Contents

      3  Title Page

      4  Copyright

      5  Dedication

      6  Acknowledgments

      7  Introduction

      8  Begin Reading

      9  Epilogue

      10  Appendix: Analytics Champion Framework

      11  About the Authors

      12  About the Website

      13  Index

      14 

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