Managerial Analytics: An Applied Guide to Principles, Methods, Tools, and Best Practices - Michael Watson

. .

Résumé :
The field of analytics is rapidly evolving, making it difficult for professionals and students to keep up the most current and effective applications. Managerial Analytics will help readers sort through all these new options and identify the appropriate solution. In this reference, authors Watson, Nelson and Cacioppi accurately define and identify the components of analytics and big data, giving readers the knowledge needed to effectively assess new aspects and applications. Building on this foundation, they review tools and solutions, identify the offerings best aligned to one's requirements, and show how to tailor analytics applications to an organization's specific needs. Drawing on extensive experience implementing, planning, and researching advanced analytics for business, the authors clearly explain all this, and more: * What analytics is and isn't: great examples of successful usage - and other examples where the term is being degraded into meaninglessness * The difference between using analytics and competing on analytics * How to get started with big data, by analyzing the most relevant data * Components of analytics systems, from databases and Excel to BI systems and beyond * Anticipating and overcoming confirmation bias and other pitfalls * Understanding predictive analytics and getting the high-quality random samples necessary * Applying game theory, Efficient Frontier, benchmarking, and revenue management models * Implementing optimization at the small and large scale, and using it to make automatic decisions

Biographie:
Michael Watson is currently a partner at Opex Analytics and an Adjunct Professor at Northwestern University. At Opex Analytics he helps bring new analytics solutions to companies. Prior to Opex Analytics, he was a manager at IBM in the ILOG supply chain and optimization group. At Northwestern, he teaches a program on operations management and managerial analytics in the McCormick School of Engineering's Masters in Engineering Management (MEM). He teaches optimization in Northwestern's Master of Science in Analytics program. He holds an M.S. and Ph.D. from Northwestern University in Industrial Engineering and Management Sciences. Derek Nelson is currently a senior principal at OPS Rules and an Adjunct Professor at Northwestern University. At OPS Rules, Derek leverages analytics to help companies improve operational performance. Prior to OPS Rules, Derek held consulting, product management, and technical sales roles in optimization and supply chain software for LogicTools, ILOG, and IBM. At Northwestern, Derek has taught service operations management to undergraduates in the Industrial Engineering and Management Sciences department and will soon be teaching in the Master in Engineering Management (MEM) program. Derek holds an M.S. in Operations Research from Cornell University.

Sommaire:
Preface xv Part I Overview 1 Chapter 1 What Is Managerial Analytics? 3 Chapter 2 What Is Driving the Analytics Movement? 23 Chapter 3 The Analytics Mindset 35 Part II Analytics Toolset 63 Chapter 4 Machine Learning 65 Chapter 5 Descriptive Analytics 93 Chapter 6 Predictive Analytics 139 Chapter 7 Case Study: Moneyball and Optimization 155 Chapter 8 Prescriptive Analytics (aka Optimization) 163 Part III Conclusion 199 Chapter 9 Revenue Management 201 Chapter 10 Final Tips for Implementing Analytics 211 Nontraditional Bibliography and Further Reading 215 Endnotes 221 Index 227