Unstructured Data Analytics - How to Improve Customer Acquisition, Customer Retention, Fraud

Informationen zum Autor JEAN PAUL ISSON is a recognized worldwide expert and evangelist in Big Data Analytics and Advanced Business Analytics, with over 22 years of experience. He is the author of Win with Advanced Business Analytics and People Analytics in the Era of Big Data . As Global Vice President of Predictive Analytics & BI at Monster Worldwide Inc. he has built his team from the ground up and successfully conceived and implemented global customer scoring, predictive models and segmentation, machine learning and deep learning solutions, web mining applications, and people analytics solutions for Monster across North America, Europe, and Asia/Pacific. He is also the Founder of the People Analytics Institute. Klappentext Turn unstructured data into valuable business insightUnstructured Data Analytics provides an accessible, non-technical introduction to the analysis of unstructured data. Written by global experts in the analytics space, this book presents unstructured data analysis (UDA) concepts in a practical way, highlighting the broad scope of applications across industries, companies, and business functions. The discussion covers key aspects of UDA implementation, beginning with an explanation of the data and the information it provides, then moving into a holistic framework for implementation. Case studies show how real-world companies are leveraging UDA in security and customer management, and provide clear examples of both traditional business applications and newer, more innovative practices.Roughly 80 percent of today's data is unstructured in the form of emails, chats, social media, audio, and video. These data assets contain a wealth of valuable information that can be used to great advantage, but accessing that data in a meaningful way remains a challenge for many companies. This book provides the baseline knowledge and the practical understanding companies need to put this data to work.Supported by research with several industry leaders and packed with frontline stories from leading organizations such as Google, Amazon, Spotify, LinkedIn, Pfizer Manulife, AXA, Monster Worldwide, Under Armour, the Houston Rockets, DELL, IBM, and SAS Institute, this book provide a framework for building and implementing a successful UDA center of excellence.You will learn:* How to increase Customer Acquisition and Customer Retention with UDA* The Power of UDA for Fraud Detection and Prevention* The Power of UDA in Human Capital Management & Human Resource* The Power of UDA in Health Care and Medical Research* The Power of UDA in National Security* The Power of UDA in Legal Services* The Power of UDA for product development* The Power of UDA in Sports* The future of UDAFrom small businesses to large multinational organizations, unstructured data provides the opportunity to gain consumer information straight from the source. Data is only as valuable as it is useful, and a robust, effective UDA strategy is the first step toward gaining the full advantage. Unstructured Data Analytics lays this space open for examination, and provides a solid framework for beginning meaningful analysis. Zusammenfassung Turn unstructured data into valuable business insight Unstructured Data Analytics provides an accessible, non-technical introduction to the analysis of unstructured data. Inhaltsverzeichnis Foreword xiii Preface xv Acknowledgments xix Chapter 1 The Age of Advanced Business Analytics 1 Introduction 1 Why the Analytics Hype Today? 5 A Short History of Data Analytics 15 What Is the Analytics Age? 22 Interview with Wayne Thompson, Chief Data Scientist at SAS Institute 23 Key Takeaways 28 Notes 29 Further Reading 30 Chapter 2 Unstructured Data Analytics: The Next Frontier of Analytics Innovation 33 Introduction 33 What Is UDA? 35

List of contents

Foreword xiii
 
Preface xv
 
Acknowledgments xix
 
Chapter 1 The Age of Advanced Business Analytics 1
 
Introduction 1
 
Why the Analytics Hype Today? 5
 
A Short History of Data Analytics 15
 
What Is the Analytics Age? 22
 
Interview with Wayne Thompson, Chief Data Scientist at
 
SAS Institute 23
 
Key Takeaways 28
 
Notes 29
 
Further Reading 30
 
Chapter 2 Unstructured Data Analytics: The Next Frontier of Analytics Innovation 33
 
Introduction 33
 
What Is UDA? 35
 
Why UDA Today? 39
 
The UDA Industry 48
 
Uses of UDA 51
 
How UDA Works 52
 
Why UDA Is the Next Analytical Frontier? 54
 
Interview with Seth Grimes on Analytics as the Next
 
Business Frontier 58
 
UDA Success Stories 60
 
The Golden Age of UDA 64
 
Key Takeaways 65
 
Notes 66
 
Further Reading 67
 
Chapter 3 The Framework to Put UDA to Work 69
 
Introduction 69
 
Why Have a Framework to Analyze Unstructured Data? 70
 
The IMPACT Cycle Applied to Unstructured Data 72
 
Text Parsing Example 81
 
Interview with Cindy Forbes, Chief Analytics Officer and Executive Vice President at Manulife Financial 84
 
Case Study 90
 
Key Takeaways 106
 
Notes 107
 
Further Reading 108
 
Chapter 4 How to Increase Customer Acquisition and Retention with UDA 109
 
The Voice of the Customer: A Goldmine for
 
Understanding Customers 109
 
Why Should You Care about UDA for Customer
 
Acquisition and Retention? 111
 
Predictive Models and Online Marketing 117
 
How Does UDA Applied to Customer Acquisition Work? 118
 
The Power of UDA for E-mail Response and Ad Optimization 124
 
How to Drive More Conversion and Engagement with UDA Applied to Content 124
 
How UDA Applied to Customer Retention (Churn) Works 125
 
What Is UDA Applied to Customer Acquisition? 129
 
What Is UDA Applied to Customer Retention (Churn)? 135
 
The Power of UDA Powered by Virtual Agent 136
 
Benefits of a Virtual Agent or AI Assistant for Customer Experience 138
 
Benefits and Case Studies 139
 
Applying UDA to Your Social Media Presence and Native Ads to Increase Acquisitions 151
 
Key Takeaways 153
 
Notes 154
 
Chapter 5 The Power of UDA to Improve Fraud Detection and Prevention 157
 
Introduction 157
 
Why Should You Care about UDA for Fraud Detection and Prevention? 159
 
Benefits of UDA 163
 
What Is UDA for Fraud? 168
 
How UDA Works in Fraud Detection and Prevention 170
 
UDA Framework for Fraud Detection and Prevention:
 
Insurance 173
 
Major Fraud Detection and Prevention Techniques 176
 
Best Practices Using UDA for Fraud Detection and Prevention 179
 
Interview with Vishwa Kolla, Assistant Vice President Advanced Analytics at John Hancock Financial Services 182
 
Interview with Diane Deperrois, General Manager South-East and Overseas Region, AXA 184
 
Key Takeaways 187
 
Notes 189
 
Further Reading 189
 
Chapter 6 The Power of UDA in Human Capital Management 191
 
Why Should You Care about UDA in Human Resources? 191
 
What Is UDA in HR? 193
 
What Is UDA in HR Really About? 195
 
The Power of UDA in Online Recruitment: Supply and Demand Equation 196
 
The Power of UDA in Talent Sourcing Analytics 197
 
The Power of UDA in Talent Acquisition Analytics 205
 

Product details

• Authors: Minha Hwang, Jean Paul Isson, Jean Paul Hwang Isson, Jean-Paul Isson, Jp Isson
• Publisher: Wiley, John and Sons Ltd
• Languages: English
• Product format: Hardback
• Released: 31.01.2017
• EAN: 9781119129752
• ISBN: 978-1-119-12975-2
• No. of pages: 432
• Subjects: Natural sciences, medicine, IT, technology > Mathematics; Social sciences, law, business > Business > Management; Statistik, Datenanalyse, Strategisches Management, Statistics, data analysis