Those who don't innovate lose out – from data to insights
The event at the RITZ Friedrichshafen provided detailed insights into how companies can promote and bring about innovation. Data alone does not create innovation—only its proper use leads to real insights.
Data literacy, clear goals, and a realistic approach to AI are decisive factors in the success of companies today.
From data to insights – why companies need to act now
Many companies generate huge amounts of data every day – but only a fraction of it leads to real ideas or innovations. This is precisely where Ralf Walther, managing director and founder of mindUp Web + Intelligence GmbH, picks up in his presentation “Those who don't innovate will lose! From data to insights.” His appeal: Data only creates value when it is understood, classified, and used in a targeted manner.
While the amount of data is exploding worldwide, companies often face the same hurdles: fragmented data silos, a lack of accountability, and inadequate data strategies. Without data literacy – the ability to critically evaluate data, structure it meaningfully, and use it to make decisions – potential remains untapped.
The hype surrounding artificial intelligence is also critically assessed: exaggerated expectations, unclear goals, and insufficient data quality quickly lead to wrong decisions. “What is not in the data cannot be learned by AI,” Walther emphasizes. AI is a powerful tool, but it is no substitute for human expertise
According to Walther, successful data initiatives require a common goal within the organization, commitment, quick visible results, and long-term sustainability. The path from data strategy to real insights involves clear questions, a well-thought-out data architecture, and the intelligent use of analysis and AI methods. With digressions on design thinking and data thinking, he also showed in his presentation how user-centered perspectives and data awareness can be combined to develop more innovative solutions.
The conclusion is clear:
Innovation does not come from data alone, but from people who create meaning from it. Companies should now build data literacy, promote a vibrant data culture, and use AI as a meaningful support. The courage to act is crucial in this regard.
