How do you realize a “data-driven business model innovation” ? 🧐

We are recognized as NOVAZOON as one of the top 10 Digital Transformation Providers in Europe. We rely on state-of-the-art methods and proven best practices developed in close cooperation with leading research institutions in Europe. One of these methods is the data-based Business Model Innovation.

In this form of innovation, we exploit the potential of already existing data. By linking two dimensions, on the one hand the existing value chain up to the customers and on the other hand the existing Data Landscape, a wide range of opportunities opens up.

The approach is not based on having to develop completely new ideas. Instead, we make use of existing processes and information, which is a decisive advantage, especially in times of tight capacities in companies.

Our goal is to open up new horizons and generate sustainable growth for our customers and partners through data-driven business model innovation. By using existing data and integrating it in a targeted way into value chains and new business models, we create access to new business potential in existing or new markets.

The possibilities of artificial intelligence and how we at NOVAZOON harness them for our customers

Artificial intelligence is playing an increasingly important role in daily business these days. Companies are using AI technologies to drive efficiencies, better decision making, and innovative solutions.

At NOVAZOON, we are continuously testing different IT technologies. Thus we have last Chatbot for our Oonboarding of new employees, which enables HR to access information quickly and easily.

Here are some other areas where Ki plays a role in everyday business:

💡 Data Analytics: AI can analyze large volumes of data analyze, identify patterns, and provide insights that help companies optimize processes, identify trends, and predict behaviors.

💡 Automation: AI enables the automation of repetitive tasks, saving time and resources. Examples include chatbots that support customer service or Rroboticprocessautomation (RPA), which can perform repetitive tasks automatically.

💡 Cybersecurity: AI is used to detect cyber threats and improve security. Through machine learning, AI can detect anomalies and identify potential security vulnerabilities faster than traditional security systems.

The role of AI in everyday work varies by industry and company size. In sum, it offers many opportunities for increased efficiency, cost savings and innovation.

Feel free to contact us if you want to find out how you can best use Artificial Intelligence for your business.