Digital transformation is the process of embedding digital technologies into every area of your business to fundamentally improve how you operate and deliver value. According to McKinsey, 70% of digital transformation programmes fail - usually not due to technology, but due to people, governance, and strategy failures. This checklist diagnoses your readiness and guides your execution.
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What Digital Transformation Actually Means
70% of transformations fail
McKinsey research consistently shows that most digital transformations fail to achieve their goals. The leading causes are: unclear strategy and objectives (46%), insufficient leadership and vision (40%), and inadequate employee engagement (36%). Technology is rarely the root cause of failure.
- Process digitisation - converting analogue/manual processes to digital workflows (e.g., paper forms → online forms → API-driven automation)
- Data-driven decision making - moving from gut feel to real-time dashboards, analytics, and experimentation
- Cloud migration - retiring on-premise infrastructure to access cloud scalability, cost elasticity, and global reach
- Customer experience transformation - omnichannel customer journeys, self-service portals, AI-assisted support
- Business model innovation - digital products, platform models, data monetisation, subscription services built on technology
Readiness Assessment Checklist by Dimension
Dimension 1: Strategy & Leadership Alignment
0/4 complete
Dimension 2: People & Culture
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Dimension 3: Data & Analytics
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Dimension 4: Technology & Architecture
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Digital Maturity Model
| Level | Title | Characteristics | Focus for Next Level |
|---|---|---|---|
| 1 | Digital Beginner | Paper-based or siloed spreadsheet processes. No central data. Reactive IT. | Document all processes; begin basic digitisation of highest-volume workflows |
| 2 | Digital Adopter | Core functions use SaaS tools. Some data available but not integrated. IT is order-taker. | Integrate systems via API; start measuring digital KPIs; CRM + ERP connected |
| 3 | Digital Practitioner | Integrated systems with shared data. Some automation. IT as business partner. | Build predictive analytics; invest in automation platform; cloud migration of remaining on-prem |
| 4 | Digital Expert | Data-driven decisions standard. AI/ML in operational processes. IT proactively drives transformation. | Expand AI use cases; build platform business capabilities; real-time insight across the business |
| 5 | Digital Innovator | Technology is business model. Continuous experimentation culture. Digital is inseparable from strategy. | External ecosystem play; open APIs as product; data business |
1
- Title
- Digital Beginner
- Characteristics
- Paper-based or siloed spreadsheet processes. No central data. Reactive IT.
- Focus for Next Level
- Document all processes; begin basic digitisation of highest-volume workflows
2
- Title
- Digital Adopter
- Characteristics
- Core functions use SaaS tools. Some data available but not integrated. IT is order-taker.
- Focus for Next Level
- Integrate systems via API; start measuring digital KPIs; CRM + ERP connected
3
- Title
- Digital Practitioner
- Characteristics
- Integrated systems with shared data. Some automation. IT as business partner.
- Focus for Next Level
- Build predictive analytics; invest in automation platform; cloud migration of remaining on-prem
4
- Title
- Digital Expert
- Characteristics
- Data-driven decisions standard. AI/ML in operational processes. IT proactively drives transformation.
- Focus for Next Level
- Expand AI use cases; build platform business capabilities; real-time insight across the business
5
- Title
- Digital Innovator
- Characteristics
- Technology is business model. Continuous experimentation culture. Digital is inseparable from strategy.
- Focus for Next Level
- External ecosystem play; open APIs as product; data business
What’s next?