| Description |
1 online resource (124 p.) |
| Series |
Chapman and Hall/CRC Focus Case Studies in Analytics and Or Ser |
|
Chapman and Hall/CRC Focus Case Studies in Analytics and Or Ser
|
| Contents |
Cover -- Half Title -- Series Page -- Title Page -- Copyright Page -- Contents -- Author Biographies -- Acknowledgments -- CHAPTER 1: Introduction -- 1.1. DEFINING AN ANALYTICS PROFESSIONAL -- 1.2. DESIGN OF THE BOOK -- 1.3. PURPOSE OF THE BOOK -- 1.4. KIDNEY PAIRED DONATION CASE STUDY -- CHAPTER 2: Analysis -- 2.1. REAL-WORLD IMPACT OF ANALYTICS -- 2.2. TYPES OF ANALYTICS -- 2.3. THE ANALYTICS PROCESS -- 2.3.1. Framing the Problem -- 2.3.2. Requirements Gathering -- 2.3.3. Working with Data -- 2.3.4. Data Formatting and Storage -- 2.4. SELECTING AN ANALYTICAL APPROACH -- 2.5. MODEL BUILDING |
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2.5.1. Defining Model Components -- 2.5.2. Efficiency: Don't Repeat Yourself, Don't Reinvent the Wheel -- 2.5.3. Speed vs Accuracy: When Simple Is Better -- 2.5.4. Model Design Trade-offs -- 2.5.5. Testing -- 2.6. DEPLOYING A MODEL -- 2.6.1. Providing Analytics to the End User -- 2.7. POST DEPLOYMENT: MODEL MAINTENANCE AND DATA MANAGEMENT -- 2.7.1. Versioning -- 2.8. WRAPPING UP ANALYTICS -- 2.9. ANALYTICS EXAMPLE: KIDNEY EXCHANGE MODEL -- CHAPTER 3: Trust -- 3.1. WHAT IS TRUST AND WHY IT IS IMPORTANT -- 3.1.1. Types of Trust -- 3.2. HOW TO BUILD SWIFT TRUST -- 3.2.1. Your Role Matters |
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3.2.2. Promise of Future Collaboration -- 3.3. CONVENTIONAL TRUST -- 3.3.1. Defining Small Commitments -- 3.3.2. Never Forget Larger Organizational Analytics Goals -- 3.4. TRUST IN THE MATH MODEL -- 3.4.1. Interpretability and Explainability -- 3.4.2. Explainability with A/B Testing -- 3.5. ETHICAL ISSUES -- 3.5.1. Detection of Unintentional Ethical Issues -- 3.5.2. How to Mitigate Unintentional Errors -- 3.6. REAL-WORLD IMPACT -- PREDICTIVE POLICING -- CHAPTER 4: Communication -- 4.1. THE GOAL OF COMMUNICATION -- 4.2. LAYING THE GROUNDWORK FOR SUCCESSFUL COMMUNICATION -- 4.2.1. What Is Rapport |
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4.2.2. Factors to Success Discovered through Research -- 4.3. SETTING THE CONTEXT -- 4.4. MANAGING EXPECTATIONS -- 4.5. MAKE THE AUDIENCE CARE -- 4.5.1. Explaining Complex Topics at the Right Level -- 4.6. ATOMIZING KNOWLEDGE -- 4.7. LEVELS OF UNDERSTANDING -- 4.8. GATHERING INFORMATION ON PROCESSES AND DATA -- 4.8.1. Surveys -- 4.8.2. Interviews -- 4.8.3. Focus Groups -- 4.8.4. Workshops -- 4.8.5. Combination of Techniques -- 4.9. COMMUNICATING WITH A TECHNICAL AUDIENCE -- 4.9.1. Sharing Your Analytics -- 4.9.2. How to Share the Right Level of Information -- 4.10. GUIDING THE CONVERSATION |
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4.11. USING DATA VISUALIZATION EFFECTIVELY -- 4.11.1. A Picture Is Worth a Thousand Words -- 4.11.2. What Is Effective Visualization -- 4.11.3. Employing Data Visualization for Change -- 4.12. MINIMIZING MISLEADING COMMUNICATION -- 4.13. SPREADING YOUR MESSAGE -- 4.14. COMMUNICATIONS EXAMPLE: KIDNEY EXCHANGE MODEL -- CHAPTER 5: Experience -- 5.1. ORGANIZATIONAL EXPERIENCE -- 5.2. TYPES OF EXPERIENCE -- 5.2.1. Analytics Methodology Experience -- 5.2.2. Business Application Experience -- 5.2.3. Research Experience -- 5.2.4. Putting It Together -- 5.3. SPECIALISTS VERSUS GENERALISTS |
| Notes |
Description based upon print version of record |
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5.4. LEARNING THROUGH FAILURE |
| Form |
Electronic book
|
| Author |
Darrow, Lucia
|
| ISBN |
9781000755404 |
|
1000755401 |
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