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This book details very simply and for even the most novice of potential analysts not only how to perform analytics which describe what is happening, predict what is going to happen, and optimize responses, but also places these analytics in the context of proactive strategy development.

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Acknowledgements Preface Introduction A Critique of Current Methods Part I: Descriptive Analytics Chapter 1) Descriptive Statistics Chapter 2) Modeling Chapter 3) Comparative Assessments Chapter 4) Data Diagnostics Chapter 5) Challenges and Limitations Chapter 6) Suggestions for Future Research Part II: Predictive Analytics Chapter 7) Probability Modeling Chapter 8) Correlative and Regression Analyses Chapter 9) Geospatial Intelligence Chapter 10) Challenges and Limitations Chapter 11) Suggestions for Future Research Part III: Operational Analytics Chapter 12) Quality Assessments Chapter 13) Efficiency Analyses Chapter 14) Risk Management Chapter 15) Asset Management Chapter 16) Challenges and Limitations Chapter 17) Suggestions for Future Research Conclusion Afterword Index

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Michael Taillard is a freelance research experimentalist and an Adjunct Professor of Economics at Bellevue University, USA. He received his PhD in Financial Economics and has an academic background that includes degrees in International Economics as well as International Finance, and military training at the Army Transportation Corps in Ft. Eustis, VA. His work includes economic research projects for The American Red Cross, theoretical study for the United States Strategic Command (STRATCOM) on which this book is based, and consulting panels given at horror movie industry expos who ve since dubbed him The Econozombist for his work helping to build an accurate representation of the world after the zombie apocalypse. His interest in the military applications of economics stems from the time he spent as a United States Army Reservist and seeing the untapped tactical potential.

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