Innovation Management
Innovation is not a creative flash of genius, but a systematic process of risk minimization and opportunity maximization. Professional innovation management in IT balances the care of the core business with the exploration of radically new technologies.
We use structured frameworks to ensure that innovation budgets do not seep into hype topics, but are specifically invested in technologies that support tomorrow's business model.
graph TD
subgraph H1 [Horizon 1: Core Business]
A[Optimization & Efficiency]
end
subgraph H2 [Horizon 2: Growth]
B[New Markets & Services]
end
subgraph H3 [Horizon 3: Future]
C[Radical Innovation]
end
H1 -->|Resources| H2
H2 -->|Insights| H3
H3 -->|Scaling| H1
Anti-Patterns: Innovation Killers
- Innovator's Dilemma: The fear of cannibalizing the successful core business through new technologies.
- Innovation Theater: Setting up isolated innovation labs whose results never find their way into the real production system.
- Hype-Chasing: Investing in technologies (e.g. Blockchain, Metaverse) just because they are prominent in the media, without any connection to your own business model.
The 3-Horizons Model
- Horizon 1 (Maintain & Extend): Continuous improvement of current systems (approx. 70% of resources). Goal: efficiency and cash flow.
- Horizon 2 (Nurture): Building new business areas based on known technologies (approx. 20% of resources). Goal: future growth.
- Horizon 3 (Explore): Exploring fundamentally new paradigms (approx. 10% of resources). Goal: learning and risk validation.
The Process: Build-Measure-Learn
Innovation happens through hypothesis-driven experiments (PoCs / MVPs). Every experiment must have clearly defined exit criteria (Fail Fast) to immediately redirect resources when results fall short.
FAQ
Can we afford innovation when we have so much to do in the core business?
You cannot afford not to innovate. Without Horizon 2 and 3, you risk your core business being disrupted by new market participants.
How do we measure the success of innovation in early phases?
Not via ROI or revenue, but via learning metrics (Innovation Accounting): "How many hypotheses have we validated?" or "How much have we learned about the needs of the target group?".
Reference Guide
- The Innovator's Dilemma: Clayton Christensen on the failure of established companies. Harvard Business Review Press
- The Lean Startup: Eric Ries on systematic experimentation. leanstartup.com
- The Corporate Startup: Tendayi Viki et al. on innovation management in established companies. Vakmedianet