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Home Shop Special eBooks Digital Transformation Explained

Digital Transformation Explained

$49 – $197Price range: $49 through $197

★★★★★ (4.89)

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How to lead a digital transformation that actually sticks, even when the culture, the legacy systems, and the middle layer push back, explained model by model across 114 pages of usable knowledge.

  • Master proven models including MIT CISR’s Digital Maturity Model, the 5 Domains framework, Conway’s Law, and the ADKAR change model
  • Use practical tools like the modernization decision matrix, the maturity self-diagnostic, and the transformation scorecard
  • Learn from real failure patterns where 70% of transformations stall, pilots never scale, and technical debt quietly resurfaces
  • Diagnose where your company actually sits on the digital maturity curve, from siloed operations to fully integrated ecosystem

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  • Description
Description

About Digital Transformation Explained

Whether you are a founder, an executive, or an operations leader responsible for making digital actually work, this book gives you the models to transform with structure and confidence.

This eBook walks you through how companies actually become digital, from diagnosing your maturity stage to redesigning team boundaries, modernizing legacy systems, and sequencing change so it holds. It covers digital transformation for enterprises and small businesses alike, not just companies with unlimited budgets.

Covering strategy, technology, data, AI, customer experience, change management, and execution, it ensures you can build a transformation that survives technical debt, organizational resistance, and the inevitable next wave of technology. With real failure patterns and ready-to-use frameworks, this eBook becomes the go-to reference you reach for every time a digital transformation starts to stall.

‘...frontrunner in delivering top-tier digital business resources...’

‘...has been making waves with its flagship product...’

‘...consistent emphasis on simplifying complex business topics...’

‘...shaping the future of digital business learning...’

‘...valuable resource in the ever-evolving world of business education...’

Table of contents

    Part 1: Why Digital Transformations Fail

  1. Digitization, Digitalization, and Digital Transformation: Why Confusing the Three Kills Programs Before They Start
  2. The Five Failure Patterns: Technology-First Thinking, No Ownership, Underestimating Culture, Skipping Diagnosis, Scaling Too Early
  3. Why 70% Of Transformations Fail And What The Surviving 30% Consistently Do Differently
  4. Why Transformation Is Not A Project With An End Date And What Happens When Leaders Treat It Like One
  5. Part 2: The Digital Maturity Model

  6. The MIT CISR Four Stages: Silos, Integrated, Optimized, Ecosystem And What Each Looks Like In Practice
  7. How To Self-Diagnose Your Current Stage Across Five Dimensions: Strategy, Culture, Technology, Data, And Operations
  8. The Maturity Trap: Why Companies Get Stuck At Integrated And The Three Conditions Required To Break Through
  9. Part 3: The 5 Domains Of Digital Transformation

  10. The MIT Framework: Five Domains Every Transformation Must Address — Customers, Competition, Data, Innovation, And Value
  11. Why Transforming One Domain Without Touching The Others Always Produces Partial Results
  12. Domain-By-Domain Diagnostic: The Key Question Every Leader Must Answer Before Moving Forward
  13. Part 4: The Digital Business Model Framework

  14. The Gartner Four-Model Framework: Supplier, Omnichannel, Ecosystem Driver, Market Maker
  15. How To Identify Which Model Your Company Currently Operates And Which It Needs To Move Toward
  16. Why Choosing The Wrong Digital Business Model Is More Expensive Than Choosing The Wrong Technology
  17. Part 5: Conway’s Law

  18. The Law: Your Organization’s Communication Structure Determines Your Technology Architecture
  19. Why Siloed Departments Produce Siloed Systems And Why Integrating Technology Without Integrating Teams Never Works
  20. The Inverse Conway Maneuver: Redesigning Team Boundaries To Produce The Architecture Your Transformation Requires
  21. Part 6: Technical Debt And Legacy Systems

  22. The Four Legacy Constraint Types: Data Debt, Infrastructure Debt, Application Debt, And Integration Debt
  23. How To Quantify Technical Debt And Why Most Companies Underestimate It By 40 To 60 Percent
  24. The Modernization Decision Matrix: Retire, Replace, Re-platform, Re-architect, Or Retain
  25. The Automation Trap: Why Digitizing A Broken Process Just Makes The Broken Process Faster
  26. Part 7: Data As A Business Asset

  27. The Data Value Chain: Raw Data, Clean Data, Insight, Decision, Competitive Advantage
  28. The Three Data Failure Patterns: Siloed Storage, No Single Source Of Truth, And Analysis Without A Clear Owner
  29. Building A Data Governance Model: Ownership, Quality Standards, Access Rights, And Retention Rules
  30. Part 8: AI And Automation — The AI Maturity Model

  31. The AI Maturity Model: Five Stages From No AI Capability To AI As A Core Competitive Advantage
  32. The Three AI Application Categories: Process Automation, Decision Augmentation, And New Product Or Service Creation
  33. The Automation Trap: Why Automating The Wrong Processes With AI Creates Faster Failures, Not Better Outcomes
  34. What AI Actually Requires: Data Quality, Integration, Governance, And The Human Layer Most Implementations Skip
  35. Part 9: Digital Customer Experience — The Omnichannel Maturity Model

  36. The Omnichannel Maturity Model: Four Stages From Multichannel Chaos To Fully Integrated Experience
  37. The Channel Trap: Why Adding Digital Channels Without Integration Makes Customer Experience Worse, Not Better
  38. The Experience Metrics That Matter: What To Track Beyond NPS To Measure Whether Transformation Is Improving Outcomes
  39. Part 10: People, Culture And Resistance — The ADKAR Model

  40. Why 70% Of Transformations Fail Because Of People, Not Technology
  41. The ADKAR Model: Awareness, Desire, Knowledge, Ability, Reinforcement And The Five Conditions Change Requires To Stick
  42. The Middle Management Problem: Why Transformation Stalls Between Leadership And Frontline
  43. Building A Change Network That Sustains Adoption After The Transformation Team Moves On
  44. Part 11: Quick Wins vs. Long Game

  45. The Quick Win Criteria: What Qualifies As A Genuine Early Win vs. What Creates False Confidence
  46. How To Sequence Quick Wins To Protect The Longer, Harder Work Happening In Parallel
  47. The Long Game Architecture: Three Foundational Investments That Determine Whether Transformation Holds
  48. Part 12: Measuring Transformation Progress And ROI

  49. Why Traditional Financial Metrics Fail In The First 12 To 18 Months Of Transformation
  50. Leading vs. Lagging Indicators: What To Track Today To Predict Results Before They Show Up In Revenue
  51. The Transformation Scorecard: Five Metrics Every Program Must Track From Day One
  52. Part 13: Digital Governance And Scaling

  53. The Three Governance Models: Centralized, Federated, And Hybrid And When Each Is Right
  54. Decision Rights: What Gets Decided At The Center And What At The Business Unit
  55. The Four Scaling Traps: Why Pilots Succeed And Company-Wide Rollouts Fail
  56. Part 14: Digital Transformation For Small Businesses

  57. Why Most Digital Transformation Advice Is Written For Enterprises And Why Applying It To A Business Under 50 People Makes Things Worse, Not Better
  58. The Fundamental Difference: Small Businesses Don’t Need A Transformation Program, They Need A Transformation Sequence
  59. The Small Business Diagnostic: Five Questions That Reveal Exactly Where Digital Leverage Is Being Left On The Table
  60. The Three Operational Bottlenecks Digital Solves First: Manual Handoffs, Disconnected Customer Data, And Decisions Made On Gut Rather Than Numbers
  61. Systems Before Strategy: Why Small Businesses That Lead With Technology Selection Always Overbuy, Underuse, And Stall
  62. The Small Business Technology Stack: What A Fully Digitized Operation Under 50 People Actually Looks Like, Layer By Layer
  63. Automation For Small Businesses: The Four Processes Worth Automating First And The Three That Are Too Early To Touch
  64. Customer Experience At Small Scale: How To Deliver Personalization Without An Enterprise Budget Or A Dedicated Team
  65. The Owner-Operator Trap: Why The Person Making The Digital Decisions Is Usually The Biggest Bottleneck In The Transformation
  66. How To Sequence The Build: What To Fix In The First 30 Days, What To Build In 60, And What To Leave Until The Foundation Holds
  67. Part 15: Building Your Digital Transformation

  68. Step 1: Run Your Digital Maturity Model And Establish Your Baseline
  69. Step 2: Map The 5 Domains And Identify What Is Holding The Others Back
  70. Step 3: Define Your Digital Business Model And Clarify Your Value Creation Direction
  71. Step 4: Apply Conway’s Law And Redesign Team Boundaries Before Touching The Technology
  72. Step 5: Build Your ADKAR Plan And Map The Change Journey For Every Layer Of The Organization
  73. The 30-Day Quick Wins: Validating The Vision Through Immediate Momentum
  74. The 60-Day Foundations: Cementing The “Single Source Of Truth”
  75. The 90-Day Build: Transitioning From “Functional” To “Formidable”

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