A Field Guide to Digital Transformation

A Field Guide to Digital Transformation

by Roger Stoffers, Thomas Erl
Released December 2021
Publisher(s): Addison-Wesley Professional
ISBN: 9780137571871

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Book description

Your Complete Guide to Digital Transformation

A Field Guide to Digital Transformation is the definitive book on digital transformation. Top-selling IT author Thomas Erl and long-time practitioner Roger Stoffers combine to provide comprehensive, yet easy-to-understand coverage of essential digital transformation concepts, practices, and technologies in the format of a plain-English tutorial written for any IT professionals, students, or decision-makers.

With more than 160 diagrams, this guide provides a highly visual exploration of what digital transformation is, how it works, and the techniques and technologies required to successfully build modern-day digital transformation solutions.

Learn from the experts and:

  • Discover what digital transformation is, why it emerged and when to apply it

  • Identify the significant business benefits that successful digital transformations can deliver and how to turn your organization into a disruptive force

  • Prepare for and overcome the common challenges associated with digital transformation initiatives

  • Understand the data-driven nature of digital transformation solutions and how they use and continually accumulate data intelligence

  • Understand how digital transformation solutions can utilize AI technology for intelligent automated decision-making

  • Gain insight into customer-centricity and how its practices are applied as part of digital transformations

  • Explore key digital transformation automation technologies, such as Robotic Process Automation (RPA), Internet of Things (IoT), Blockchain. and Cloud Computing

  • Explore key digital transformation data science technologies, such as Artificial Intelligence (AI), Machine Learning, and Big Data Analysis & Analytics

The book concludes with a uniquely detailed and highly visual real-world business scenario that provides step-by-step insights into how a digital transformation solution works, how it utilizes data intelligence to improve customer relationship building, and how it collects new data intelligence in support of ehancing future business capabilities.

Table of contents

  1. Cover Page
  2. About This eBook
  3. Title Page
  4. Copyright Page
  5. Dedications
  6. Contents at a Glance
  7. Contents
  8. Acknowledgments
  9. Register Your Book
  10. About This Book
  11. Part I: Digital Transformation Fundamentals
    1. Chapter 1: Understanding Digital Transformation (What is Digital Transformation?)
      1. Business, Technology, Data and People
    2. Chapter 2: Common Business Drivers (What Led to Digital Transformation?)
      1. Losing Touch with Customer Communities
      2. Inability to Grow in Stale Marketplaces
      3. Inability to Adapt to Rapidly Changing Marketplaces
      4. Cold Customer Relationships
      5. Inefficient Operations
      6. Inefficient Decision-Making
    3. Chapter 3: Common Technology Drivers (What Enables Digital Transformation?)
      1. Enhanced and Diverse Data Collection
      2. Contemporary Data Science
      3. Sophisticated Automation Technology
      4. Autonomous Decision-Making
      5. Centralized, Scalable, Resilient IT Resources
      6. Immutable Data Storage
      7. Ubiquitous Multiexperience Access
    4. Chapter 4: Common Benefits and Goals (Why Undergo a Digital Transformation?)
      1. Enhanced Business Alignment
      2. Enhanced Automation and Productivity
      3. Enhanced Data Intelligence and Decision-Making
      4. Improved Customer Experience and Customer Confidence
      5. Improved Organizational Agility
      6. Improved Ability to Attain Market Growth
    5. Chapter 5: Common Risks and Challenges (What Are the Pitfalls?)
      1. Poor Data Quality and Data Bias
      2. Increased Quantity of Vulnerable Digital Data
      3. Resistance to Digital Culture
      4. Risk of Over-Automation
      5. Difficult to Govern
    6. Chapter 6: Realizing Customer-Centricity
      1. What Is a Product?
      2. What Is a Customer?
      3. Product-Centric vs. Customer-Centric Relationships
      4. Transaction-Value vs. Relationship-Value Actions
      5. Customer-Facing vs. Customer-Oriented Actions
      6. Relationship Value and Warmth
      7. Single vs. Multi vs. Omni-Channel Customer Interactions
      8. Customer Journeys
      9. Customer Data Intelligence
    7. Chapter 7: Data Intelligence Basics
      1. Data Origins (Where Does the Data Come From?)
      2. Common Data Sources (Who Produces the Data?)
      3. Data Collection Methods (How Is the Data Collected?)
      4. Data Utilization Types (How Is the Data Used?)
    8. Chapter 8: Intelligent Decision-Making
      1. Manual Decision-Making
      2. Conditional Automated Decision-Making
      3. Intelligent Manual Decision-Making
      4. Intelligent Automated Decision-Making
      5. Intelligent Manual vs. Intelligent Automated Decision-Making
  12. Part II: Digital Transformation in Practice
    1. Chapter 9: Understanding Digital Transformation Solutions
      1. Distributed Solution Design Basics
      2. Data Ingress Basics
      3. Common Digital Transformation Technologies
    2. Chapter 10: An Introduction to Digital Transformation Automation Technologies
      1. Cloud Computing
      2. Blockchain
      3. Internet of Things (IoT)
      4. Robotic Process Automation (RPA)
    3. Chapter 11: An Introduction to Digital Transformation Data Science Technologies
      1. Big Data Analysis and Analytics
      2. Machine Learning
      3. Artificial Intelligence (AI)
    4. Chapter 12: Inside a Customer-Centric Solution
      1. Scenario Background
      2. Terminology Recap
      3. Key Terms from Chapter 6: Realizing Customer-Centricity
      4. Key Terms from Chapter 7: Data Intelligence Basics
      5. Key Terms from Chapter 8: Intelligent Decision-Making
      6. Key Terms from Chapter 9: Understanding Digital Transformation Solutions
      7. Key Terms from Chapter 10: An Introduction to Digital Transformation Automation Technologies
      8. Key Terms from Chapter 11: An Introduction to Digital Transformation Data Science Technologies
      9. The Enhanced Customer Journey
      10. Future Decision-Making
  13. About the Authors
    1. Thomas Erl
    2. Roger Stoffers
  14. Index

Product information

  • Title: A Field Guide to Digital Transformation
  • Author(s): Roger Stoffers, Thomas Erl
  • Release date: December 2021
  • Publisher(s): Addison-Wesley Professional
  • ISBN: 9780137571871