Unstructured data analytics : how to improve customer acquisition, customer retention, and fraud detection and prevention / Jean Paul Isson ; foreword by Paul Zikopoulos.

Format:

Book

Author/Creator:

Isson, Jean Paul, author.

Contributor:

Zikopoulos, Paul, writer of foreword.

Language:

English

Subjects (All):

Industrial management--Statistical methods.

Industrial management.

Business planning.

Physical Description:

1 online resource (435 pages) : illustrations

Edition:

1st edition

Place of Publication:

Hoboken, New Jersey : Wiley, 2018.

System Details:

text file

Summary:

Turn unstructured data into valuable business insight Unstructured 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 UDA From 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.

Contents:

Cover

Title Page

Copyright

Contents

Foreword

Preface

Acknowledgments

Chapter 1: The Age of Advanced Business Analytics

Introduction

Why the Analytics Hype Today?

1. Costs to Store and Process Information Have Reduced

2. Interactive Devices and Censors Have Increased

3. Data Analytics Infrastructures and Software Have Increased

4. User-Friendly and Invisible Data Analytics Tools Have Emerged

5. Data Analytics Is Becoming Mainstream, and It Means a Lot to Our Economy and World

6. Major Leading Tech Companies Have Pioneered the Data Economy

7. Big Data Analytics Has Become a Big Market Opportunity

8. The Number of Data Science University Programs and MOOCs Has Intensified

A Short History of Data Analytics

Early Adopters: Insurance and Finance

What is the Analytics Age?

Interview with Wayne Thompson, Chief Data Scientist at SAS Institute

Key Takeaways

Notes

Further Reading

Chapter 2: Unstructured Data Analytics: The Next Frontier of Analytics Innovation

What Is UDA?

Why UDA Today?

Big Data as a Catalyst

Artificial Intelligence (AI)

Machine Learning

Deep Learning

Representation Learning or Feature Learning

Natural Language Processing

Cognitive Computing/Analytics

Neural Network

The UDA Industry

Uses of UDA

How UDA Works

Why UDA Is the Next Analytical Frontier?

Interview with Seth Grimes on Analytics as the Next Business Frontier

UDA Success Stories

Amazon.com

Spotify

Facebook

ITA Software

Internet Search Engines: Bing.com, Google.com, and the Like

Monster Worldwide

The Golden Age of UDA

Chapter 3: The Framework to Put UDA to Work

Why Have a Framework to Analyze Unstructured Data?

The IMPACT Cycle Applied to Unstructured Data.

Focusing on the IMPACT

Identify Business Questions

Master the Data

Text Parsing Example

The T3

Technique

Tools

Interview with Cindy Forbes, Chief Analytics Officer and Executive Vice President at Manulife Financial

Case Study

Chapter 4: How to Increase Customer Acquisition and Retention with UDA

The Voice of the Customer: A Goldmine for Understanding Customers

Why Should You Care about UDA for Customer Acquisition and Retention?

The Voice of the Customer

Predictive Models and Online Marketing

Predictive Models

UDA and Online Marketing: Optimizing Your Acquisition and Customer Response Models

How Does UDA Applied to Customer Acquisition Work?

The Power of UDA for E-mail Response and Ad Optimization

How to Drive More Conversion and Engagement with UDA Applied to Content

How UDA Applied to Customer Retention (Churn) Works

What Is UDA Applied to Customer Acquisition?

Consumer/Customer Decision Journey

Lessons from McKinsey's Consumer Decision Journey

What Is UDA Applied to Customer Retention (Churn)?

The Power of UDA Powered by Virtual Agent

Welcome to the AI Customer Service Assistant

Benefits of a Virtual Agent or AI Assistant for Customer Experience

Benefits and Case Studies

Applying UDA to Your Social Media Presence and Native Ads to Increase Acquisitions

Social Media Analytics

Chapter 5: The Power of UDA to Improve Fraud Detection and Prevention

Why Should You Care about UDA for Fraud Detection and Prevention?

Unstructured Data Is a Goldmine of Evidence for Fraud Detection and Prevention

Cost Savings, Productivity, and Performance Gains

Help to Fully Leverage the Power of Predictive Analytics and Big Data

Realize the Untapped Big Data Opportunity.

Address Weaknesses of Existing Fraud Detection Techniques

Benefits of UDA

Huge Costs If Left Unchecked/Huge Savings in Fraud Losses

Banking and Finance

E-commerce

Healthcare

Insurance

What Is UDA for Fraud?

How UDA Works in Fraud Detection and Prevention

Sampling

Benford's Law

Recommendations

UDA Framework for Fraud Detection and Prevention: Insurance

Step 1: Claimant Report (Narrative)

Step 2: Underwriter Report (Text-Heavy)

Step 3: Fraud Management Tool (Detection and Prediction)

Step 4: Scoring and Classification Outputs

Step 5: Decisions and Actions

Major Fraud Detection and Prevention Techniques

Best Practices Using UDA for Fraud Detection and Prevention

Assess Your Current Fraud Management System

Interview with Vishwa Kolla, Assistant Vice President Advanced Analytics at John Hancock Financial Services

Interview with Diane Deperrois, General Manager South-East and Overseas Region, AXA

Chapter 6: The Power of UDA in Human Capital Management

Why Should You Care about UDA in Human Resources?

What Is UDA in HR?

What Is UDA in HR Really About?

The Power of UDA in Online Recruitment: Supply and Demand Equation

The Power of UDA in Talent Sourcing Analytics

Assessment and Analysis of Culture Fit Score

Social Job Ad and Twitter Job

Employer Online Reputation: Social Media Feed and News Analysis

Supply (Resume/Job Response) and Demand (Job Posting/Listing)

UDA Applied to Candidate Resumes and Candidate Profile

Candidate Video Resume

Video Interview

The Power of UDA in Talent Acquisition Analytics

Artificial Intelligence as a Hiring Assistant

The Power of UDA in Talent Retention

The Power of UDA in Employee Wellness Analytics.

Interview with Arun Chidambaram, Director of Global workforce intelligence, Pfizer

Employee Performance Appraisal Data Review Feedback

Benefits of UDA in HR

Case Studies

The Container Store

Interview with Stephani Kingsmill, Executive Vice President and Chief Human Resource Officer, Manulife

Chapter 7: The Power of UDA in the Legal Industry

Why Should You Care About UDA in Legal Services?

What Is UDA Applied to Legal Services?

How Does It Work?

Benefits and Challenges

Chapter 8: The Power of UDA in Healthcare and Medical Research

Why Should You Care about UDA in Healthcare?

Untapped Potential of Healthcare Data Goldmine

Ever-Increasing Volume of Patient Data from Internet of Things

What's UDA in Healthcare?

Data Complexity

Aggregating Data

Transforming Unstructured Data into Discrete Data

IMPACT Cycle

Benefits

Interview with Mr. François Laviolette, Professor of Computer Science/Director of Big Data Research Centre at Laval University (QC) Canada

Interview with Paul Zikopolous, Vice President Big Data Cognitive System at IBM

Chapter 9: The Power of UDA in Product and Service Development

Why Should You Care about UDA for Product and Service Development?

UDA and Big Data Analytics

1. Data Analytics: Data Products and Services

2. 365/24/7 Platform for Customers

3. Intersection between Analytics and Innovation

4. The Voice of the Customer (VoC)

Interview with Fiona McNeill, Global Product Marketing Manager at SAS Institute

What Is UDA Applied to Product Development?

How Is UDA Applied to Product Development?

How UDA Applied to Product Development Works

Notes.

Chapter 10: The Power of UDA in National Security

National Security: Playground for UDA or Civil Liberty Threat?

Edward J. Snowden, the NSA Whistle-Blower?

What Is the NSA?

What Is UDA for National Security?

Data Sources of the NSA

What Happened?

What Is Happening Now, and Why?

What Will Happen, and What Should We Do?

Why UDA for National Security?

September 11, 2001: Disparate Data and Intelligence Weakness

How the CIA Uses Big Data to Predict Social Unrest

Business Challenge

Solutions

Benefit

Chapter 11: The Power of UDA in Sports

The Short History of Sports Analytics: Moneyball

Why Should You Care about UDA in Sports?

UDA's Impact for Players

UDA Impact for Coaches and Managers

UDA Impact on Fans

What Is UDA in Sports?

Baseball and Football

What Will Happen? And What Should We Do?

How It Works

Fan Data

Player Data

Team Data

Interview with Winston Lin, Director of Strategy and Analytics for the Houston Rockets

Chapter 12: The Future of Analytics

Harnessing These Evolving Technologies Will Generate Benefits

Data Becomes Less Valuable and Analytics Becomes Mainstream

Data Becomes Less Valuable

Analytics Will Become Mainstream

Predictive Analytics, AI, Machine Learning, and Deep Learning Become the New Standard

People Analytics Becomes a Standard Department in Businesses

UDA Becomes More Prevalent in Corporations and Businesses

Cognitive Analytics Expansion

The Internet of Things Evolves to the Analytics of Things

MOOCs and Open Source Software and Applications Will Continue to Explode

Blockchain and Analytics Will Solve Social Problems

Human-Centered Computing Will Be Normalized.

Data Governance and Data Security Will Remain the Number-One Risk and Threat.

Notes:

Publication date from resource description page (Safari, viewed April 10, 2018).

Includes bibliographical references at the end of each chapters and index.

Description based on online resource; title from PDF title page (EBC, viewed April 14, 2018).

ISBN:

9781119325505

1119325501

9781119378846

1119378842

OCLC:

1028022728