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Data Analytics : Effective Methods for Presenting Results.

Author: Subhashish Samaddar; Satish Nargundkar
Publisher: Milton : Auerbach Publications, 2019.
Series: Data analytics applications.
Edition/Format:   eBook : Document : EnglishView all editions and formats
Summary:
If you are a manager who receives the results of any data analyst's work to help with your decision-making, this book is for you. Anyone playing a role in the field of analytics can benefit from this book as well. In the two decades the editors of this book spent teaching and consulting in the field of analytics, they noticed a critical shortcoming in the communication abilities of many analytics professionals.  Read more...
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Genre/Form: Electronic books
Additional Physical Format: Print version:
Samaddar, Subhashish.
Data Analytics : Effective Methods for Presenting Results.
Milton : Auerbach Publications, ©2019
Material Type: Document, Internet resource
Document Type: Internet Resource, Computer File
All Authors / Contributors: Subhashish Samaddar; Satish Nargundkar
ISBN: 9781351973410 135197341X 9781315267555 1315267551 9781351973403 1351973401 9781351973397 1351973398
OCLC Number: 1088331946
Description: 1 online resource (175 pages)
Contents: 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 CLIENTSCustom 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 ResearchConclusions; 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 IMPROVEMENTIntroduction 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 FutureCHAPTER 11 "AS YOU CAN SEE ... "; Epilogue; INDEX
Series Title: Data analytics applications.

Abstract:

If you are a manager who receives the results of any data analyst's work to help with your decision-making, this book is for you. Anyone playing a role in the field of analytics can benefit from this book as well. In the two decades the editors of this book spent teaching and consulting in the field of analytics, they noticed a critical shortcoming in the communication abilities of many analytics professionals. Specifically, analysts have difficulty in articulating in business terms what their analyses showed and what actionable recommendations were made. When analysts made presentations, they tended to lapse into the technicalities of mathematical procedures, rather than focusing on the strategic and tactical impact and meaning of their work. As analytics has become more mainstream and widespread in organizations, this problem has grown more acute. Data Analytics: Effective Methods for Presenting Results tackles this issue. The editors have used their experience as presenters and audience members who have become lost during presentation. Over the years, they experimented with different ways of presenting analytics work to make a more compelling case to top managers. They have discovered tried and true methods for improving presentations, which they share. The book also presents insights from other analysts and managers who share their own experiences. It is truly a collection of experiences and insight from academics and professionals involved with analytics. The book is not a primer on how to draw the most beautiful charts and graphs or about how to perform any specific kind of analysis. Rather, it shares the experiences of professionals in various industries about how they present their analytics results effectively. They tell their stories on how to win over audiences. The book spans multiple functional areas within a business, and in some cases, it discusses how to adapt presentations to the needs of audiences at different levels of management.

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