Data Analytics : Effective Methods for Presenting Results.

Cover -- Half Title -- Series Page -- Title Page -- Copyright Page -- CONTENTS -- PREFACE -- EXECUTIVE SUMMARY -- EDITORS -- CONTRIBUTORS -- CHAPTER 1 KNOW YOUR AUDIENCE -- Preparing for Your Presentation -- Organizing the Presentation -- Audience Interaction -- CHAPTER 2 PRESENTING RESULTS FROM COMMONLY USED MODELING TECHNIQUES -- Regression Analysis -- Cluster Analysis -- Summary -- CHAPTER 3 VISUALIZATION TO IMPROVE ANALYTICS -- The Paradox of Visualization -- Things Are Not Always as They Seem -- The Role of Domain Knowledge -- Moving through Complexity -- Simplicity Is Hard -- Conclusion -- CHAPTER 4 MARKETING MODELS-DEMONSTRATING EFFECTIVENESS TO CLIENTS -- Custom versus Generic Data Fields -- Generic Model Visualization -- GamerIQ-A Generic Model -- Selling the Model -- Custom Marketing Models -- Do's and Don'ts in Client Meetings -- Conclusion -- Appendix A: Game Over-AnalyticsIQ Is Proud To Release GamerIQ -- Let's Play -- GamerIQ -- Level Up -- How AIQ Data Compares to Other Providers -- CHAPTER 5 RESTAURANT MANAGEMENT: CONVINCING MANAGEMENT TO CHANGE -- Introduction -- Strategy and Operations -- Finding and Assessing Performance Improvement Projects -- Communicating Results -- From Marketing Research to Operations Research -- Conclusions -- CHAPTER 6 PROJECT PRESENTATIONS IN THE ARMED FORCES -- Common Types of Analysis in the Armed Forces -- Audience, Time, and Complexity Considerations -- The Audience -- Complexity and Time -- Other Examples of Successful Techniques and Slides -- Summary -- CHAPTER 7 INVENTORY MANAGEMENT-CUSTOMIZING PRESENTATIONS FOR MANAGEMENT LAYERS -- Inventory Management at Intel -- Review 1: Presenting to My Manager -- Review 2: Model Validation -- Review 3: Technical Experts -- Review 4: Presenting to Senior Management -- Summary -- CHAPTER 8 EXECUTIVE COMMUNICATION IN PROCESS IMPROVEMENT.

Introduction to Lean Six Sigma -- Data Availability, Level of Rigor, and Managing Expectations -- BBs Are Not Superheroes -- GBs Have Day Jobs -- Do's and Don'ts of Presenting LSS Work to Leadership -- Conclusion -- CHAPTER 9 INTERNAL AUDITING-SEEKING ACTION FROM TOP MANAGEMENT TO MITIGATE RISK -- Introduction -- Use of Analytics in Auditing -- Conclusion -- CHAPTER 10 CONSUMER LENDING-WINNING PRESENTATIONS TO INVESTORS -- The Backdrop -- Building the Systems -- Audience Drives the Reporting Needs -- Analytics, Visualization, and Storytelling -- The Problem with Analysts: Black Swans, ML, and the Future -- CHAPTER 11 "AS YOU CAN SEE …" -- Epilogue -- INDEX.

Effective presentation of analytical results is the key to close a project successfully. With the meteoric rise in the popularity of data science and analytics, business executives focus on analytics' strategic interpretation and managerial implications, as well as value creation from analytics.

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Electronic reproduction. Ann Arbor, Michigan : ProQuest Ebook Central, 2024. Available via World Wide Web. Access may be limited to ProQuest Ebook Central affiliated libraries.