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Brown - Its Your Move

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Part 1: Business Case Analysis with R -- Chapter 1: A Relief from Spreadsheet Misery -- Chapter 2: Setting up the Analysis -- Chapter 3: Include Uncertainty in the Financial Analysis -- Chapter 4: Interpreting and Communicating Insights -- Part 2: Its Your Move -- Chapter 5: What Should I Do? -- Chapter 6: Use a Decision Hierarchy to Categorize Decision Types -- Chapter 7: Tame Decision Complexity by Creating a Strategy Table -- Chapter 8: Clearly Communicate the Intentions of Decision Strategies -- Chapter 9: What Comes Next -- Part 3: Subject Matter Expert Elicitation Guide -- Chapter 10: Whats Your Number, Pardner? -- Chapter 11: Conducting SME Elicitations -- Chapter 12: Kinds of Biases -- Part 4: Information Espresso -- Chapter 13: Setting a Budget for Making Decisions Clearly -- Chapter 14: A More Refined Explanation of VOI -- Chapter 15: Building the Simulation in R -- Appendix A: Deterministic Model -- Appendix B: Risk Model -- Appendix C: Simulation and Finance Functions -- Appendix D: Decision Hierarchy and Strategy Table Templates -- Appendix E: VOI Code Samples --;This tutorial teaches you how to use the statistical programming language R to develop a business case simulation and analysis. It presents a methodology for conducting business case analysis that minimizes decision delay by focusing stakeholders on what matters most and suggests pathways for minimizing the risk in strategic and capital allocation decisions. Business case analysis, often conducted in spreadsheets, exposes decision makers to additional risks that arise just from the use of the spreadsheet environment. R has become one of the most widely used tools for reproducible quantitative analysis, and analysts fluent in this language are in high demand. The R language, traditionally used for statistical analysis, provides a more explicit, flexible, and extensible environment than spreadsheets for conducting business case analysis. The main tutorial follows the case in which a chemical manufacturing company considers constructing a chemical reactor and production facility to bring a new compound to market. There are numerous uncertainties and risks involved, including the possibility that a competitor brings a similar product online. The company must determine the value of making the decision to move forward and where they might prioritize their attention to make a more informed and robust decision. While the example used is a chemical company, the analysis structure it presents can be applied to just about any business decision, from IT projects to new product development to commercial real estate. The supporting tutorials include the perspective of the founder of a professional service firm who wants to grow his business and a member of a strategic planning group in a biomedical device company who wants to know how much to budget in order to refine the quality of information about critical uncertainties that might affect the value of a chosen product development pathway. What Youll Learn: Set up a business case abstraction in an influence diagram to communicate the essence of the problem to other stakeholders Model the inherent uncertainties in the problem with Monte Carlo simulation using the R language Communicate the results graphically Draw appropriate insights from the results Develop creative decision strategies for thorough opportunity cost analysis Calculate the value of information on critical uncertainties between competing decision strategies to set the budget for deeper data analysis Construct appropriate information to satisfy the parameters for the Monte Carlo simulation when little or no empirical data are available.

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Its Your Move Creating Valuable Decision Options When You Dont Know What to Do - photo 1
It's Your Move
Creating Valuable Decision Options When You Dont Know What to Do
Robert D. Brown III

This book is for sale at http://leanpub.com/itsyourmove

This version was published on 2015-11-29

This is a Leanpub book Leanpub empowers authors and publishers with - photo 2

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This is a Leanpub book. Leanpub empowers authors and publishers with the Lean Publishing process. Lean Publishing is the act of publishing an in-progress ebook using lightweight tools and many iterations to get reader feedback, pivot until you have the right book and build traction once you do.

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2013 - 2015 Robert D. Brown III

We are our choices. Jean-Paul Sartre

INTRODUCTION
1.1 Acknowledgments
  • This publication includes material (C) 1983-2002 by Kenneth R. Oppenheimer.
  • Thanks to Wendy Brown Davis, who generously donated the beautiful photograph of the gray squirrel for the cover. peek a boo, oh yeah I see you (C) Wendy Brown Davis ~Canon 5D Mark III & EF 70-200 mm/ f2.8 L IS II USM~
1.2 What Should I Do?

A few years ago, a friend of mine asked me to help him think through how to grow his business. He had successfully operated a small boutique professional services firm for several years up that point. Now he was concerned about the demands on his personal time, his ability to save for retirement and his childrens education, and a nagging sense that things were getting a little stale. Maybe he needed a new strategy, he thought. As we discussed his current situation, he expressed the following concerns:

  • Its difficult to scale my companys growth.
  • Its hard to find and keep the right people.
  • My personal interest in creating a business are not yet realized.
  • How can my company establish a means to generate ongoing revenue and equity value?
  • How can my company make a much bigger and positive lasting effect on clients?

Once we clarified those concerns, we restated them as a strategic question.

How can we facilitate our clients business development activity for maximum profit in such a way that our clients enjoy the way they create business, we track our clients evolution of needs, and our services become a must-have habit in order for my company to grow a profitable, sustainable, and scalable business that I enjoy?

But how do I get there, Rob? What should I do? There are still so many decision to make. I keep thinking about the risks and benefits of each, but I dont quite know how to handle the complexity of all their possible interactions.

Usually, my clients initially face the very important issue of not really knowing what they want to achieve by making decisions, but in this case my friend knew his objectives fairly well. Where he was getting mired down was in conceiving effective ways to coordinate multiple decisions to achieve those objectives. Overwhelmed by option complexity, my friend didnt know what to do. Maybe you have found yourself in a similar position.

1.3 Why You Need This Tutorial

When we make decisions, we usually speak of choosing among a known set of options, a choice between a This or a That. We may think about choosing between

  • Vanilla ice cream or chocolate or the new wasabi cream flavor
  • Pirelli tires or Michelin or Goodyear
  • A vacation in the Bahamas or one in Las Vegas

If the options are not mutually exclusive, we may even talk about choosing between some of This and some of That. These are the simpler decisions in life. Even if they are not routine, their consequences are usually limited in scope and magnitude. We usually address these decisions by weighing in our mind the net effect of the relative pros and cons of each choice without generally worrying that the consequences will be beyond our ability to handle them should they turn out contrary to our preferences, even significantly so. If you do choose the wasabi cream flavored ice cream and its just awful (as I can assure you that it actually was), its not an outcome you will regret the rest of your life. Youll gag a little and be a few dollars poorerno big deal.

However, when we find ourselves facing complex personal or business situations, we very rarely find ourselves limited to the choices within the scope of a single decision category. Instead, we usually find ourselves thinking about the consequences of choosing among multiple coordinated options across multiple decision categories. The number of potential decision options we can choose from can lead to an overwhelming, swarming beehive of what-ifs in our minds.

For example, consider that you are a key decision maker within a company that develops biomedical devices. Choosing whether or not to launch a new product does not usually have a simple Go or No Go set of options. For a new product launch, you might have to think through the combined effects of choices about a new products geographic distribution, pricing level, product configuration, packaging, staging, specific disease application, etc. Each choice within a decision set leads to a set of implied potential consequences that, as a responsible decision maker, you ought to consider to the satisfaction of your fiduciary responsibilities. While the associated economic analysis will represent enough complexity of its own, more immediately you might face some degree of confusion about which decision scenarios you should even consider. You will probably not have time to consider them all.

Just among the decision categories listed in the biomedical device situation above, there exist hundreds, if not thousands, of possible decision scenarios worth considering. What if each of the six categories contained three options? The decision makers would face 36 combinations (3x3x3x3x3x3) or 729 scenarios in their analysis. What decision makers face is choice complexity, which is a significant contributor to two common decision failures: analysis paralysis and shooting from the hip.

Some decision-makers forge ahead believing they ought to and can conquer the complexity by testing every possible scenario. However, as both the number of decision sets increase or the number of options increase, the number of testable scenarios can approach the number of atoms in the universe! Clearly, no one will ever commit to a decision while there is always one more scenario to test in this case. (Im convinced that many people actually use analysis paralysis to avoid making decisions as a CYA approach to managing their own career risk.) In the end, if anything ever gets done, its usually too late to take advantage of the best part of the available value the opportunity provides.

Unfortunately, other decision makers opt to shoot from the hip as they assume that their gut is a better guide than the looming detailed analysis. Selective hindsight bias convinces them that their intuition is usually right (Isnt that what everyone thinks Malcolm Gladwells book, Blink!, taught us?). Or they reason that committing now and fixing things later (regardless of what the unforeseen costs might be) is at least movement, and movement is valuable for its own sake until the bill for the unforeseen costs or unintended consequences comes due.

Is there a reasonable way to tame the choice complexity that you face as a decision maker in your real world, complex decision situations? There is by using three simple integrated thinking tools called a

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