A Field Guide to Digital Transformation

Length: 288 pages
Edition: 1
Language: English
Publisher: Addison-Wesley Professional
Publication Date: 2021-12-06
ISBN-10: 0137571844
ISBN-13: 9780137571840
Sales Rank: #515604 (See Top 100 Books)

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.

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

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