Unstructured data analytics how to improve customer acquisition, customer retention, and fraud detection and prevention
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...
| Otros Autores: | , |
|---|---|
| Formato: | Libro electrónico |
| Idioma: | Inglés |
| Publicado: |
Hoboken, New Jersey :
Wiley
2018.
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| Edición: | 1st edition |
| Materias: | |
| Ver en Biblioteca Universitat Ramon Llull: | https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009630640406719 |
Tabla de Contenidos:
- 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
- Introduction
- 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
- ITA Software
- Internet Search Engines: Bing.com, Google.com, and the Like
- Monster Worldwide
- The Golden Age of UDA
- Key Takeaways
- Notes
- Further Reading
- Chapter 3: The Framework to Put UDA to Work
- Introduction
- 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
- Key Takeaways
- Notes
- Further Reading
- 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
- Key Takeaways
- Notes
- Chapter 5: The Power of UDA to Improve Fraud Detection and Prevention
- Introduction
- 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
- Key Takeaways
- Notes
- Further Reading
- 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
- How UDA Works
- Benefits of UDA in HR
- Case Studies
- The Container Store
- Interview with Stephani Kingsmill, Executive Vice President and Chief Human Resource Officer, Manulife
- Key Takeaways
- Further Reading
- 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
- Key Takeaways
- Notes
- Further Reading
- 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?
- How UDA Works
- 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
- Case Study
- Key Takeaways
- Notes
- Further Reading
- 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
- Key Takeaways
- 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
- Case Studies
- Business Challenge
- Solutions
- Benefit
- How UDA Works
- Key Takeaways
- Notes
- Further Reading
- 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
- Key Takeaways
- Notes
- Further Reading
- 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.
