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Business

Digital Transformation

The fundamental change of business models, processes and corporate culture through the strategic use of digital technologies – far more than mere digitization.

Digital transformation is not an IT project – it is a fundamental shift that affects business models, processes and corporate culture. While 'digitization' only turns analogue processes into digital ones (e.g. paper forms to PDFs), digital transformation goes further: it questions existing business models and creates new value with technology. Companies that miss the transformation risk being overtaken by digital-native competitors.

What is Digital Transformation?

Digital transformation is the deep, strategic change of a company through the use of digital technologies. It has four dimensions: business model innovation (new digital products, platform models, data-based services), process optimization (automation, AI-supported decisions, end-to-end digitization), customer experience (omnichannel, personalization, self-service portals) and corporate culture (agile ways of working, data culture, digital skills). Unlike pure digitization, digital transformation changes not only the 'how' but also the 'what' and 'why'. It requires a clear strategy, change management and willingness to question existing structures.

How does Digital Transformation work?

Transformation starts with a baseline: Where does the company stand digitally? Which processes are inefficient? Where is data potential unused? A digital strategy is then developed that prioritizes concrete initiatives – from automating repetitive processes and self-service portals to AI-supported decision systems. Implementation is iterative: quick wins create visible results early; larger initiatives are done in phases. Change management is critical to bring people along, train them and support cultural change.

Practical Examples

1

A machinery manufacturer transforms its business model: instead of only selling machines it offers IoT-based predictive maintenance as a service – recurring revenue instead of one-off sales.

2

An insurer replaces paper-based claims with an AI-supported app: customers photograph damage, AI assesses it and settles small claims automatically in minutes instead of weeks.

3

A retailer implements omnichannel: online order, in-store pickup, return by post – linked by one data backend.

4

A mid-size company automates accounting: incoming invoices are captured, coded and forwarded for approval by AI – processing time drops from 15 to 2 minutes.

5

A municipality digitizes citizen services: online appointment booking, digital applications and automated status notifications replace queues and paper forms.

Typical Use Cases

Process automation: Replace repetitive manual processes with RPA, AI and workflow automation

Business model innovation: Develop new digital products and services (platforms, SaaS, data-based services)

Customer experience: Improve interaction with self-service portals, chatbots and personalized offers

Data-driven decisions: Use business intelligence and AI for informed, fast management decisions

Agile organization: Replace rigid hierarchies with agile teams, digital tools and an innovation culture

Advantages and Disadvantages

Advantages

  • Competitiveness: Digital companies react faster to market and customer needs
  • Efficiency: Automated processes reduce cost and errors and increase throughput
  • New revenue: Digital business models open new markets and customer segments
  • Employee satisfaction: Modern tools and less routine improve attractiveness as employer
  • Data-driven innovation: Collected data enables better decisions and new insights

Disadvantages

  • Investment: Technology, consulting and change management need significant budget
  • Resistance: Staff and middle management may block change out of uncertainty
  • Complexity: Many parallel initiatives must be coordinated – without clear priorities, overload
  • No end state: Digital transformation is continuous, not a one-off project

Frequently Asked Questions about Digital Transformation

What is the difference between digitization and digital transformation?

Digitization turns existing analogue processes into digital form – e.g. paper invoices become PDFs. Digital transformation goes further: it questions the whole business model and creates new value with technology. Example: not only digitize the invoice but introduce a completely new, AI-supported billing model that optimizes prices automatically.

How long does digital transformation take?

Transformation is not a project with a fixed end date but an ongoing process. First quick wins (process automation, digital workflows) can be achieved in 3–6 months. Larger transformations (new business models, platforms) take 2–5 years. An iterative approach with visible intermediate results works better than a big-bang switch.

How do I start digital transformation?

Three steps: 1) Baseline – Where are you digitally? Where are the biggest pain points and opportunities? 2) Identify quick wins – Which processes can be improved quickly and visibly? 3) Develop strategy – Long-term vision with concrete milestones, budget and change management. An external IT consultant can support the baseline objectively and bring best practices.

Related Terms

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What is Digital Transformation? Definition, Strategy & Examples