The nexyo DataHub in Action: Data-Driven Innovations at goodguys

goodguys, a leading provider of GenAI-based services such as the AI-Concierge, faced a critical challenge: How can large volumes of sensitive data be shared efficiently and securely with both national and international clients?

Particularly in the tourism sector, which thrives on constant innovation, it is essential to utilize data effectively. With “Data Services on Demand,” goodguys enables partner organizations to refine data strategically, laying the foundation for high-quality services.

What motivated you to use the nexyo DataHub? Was there a specific need or occasion?

We develop GenAI-based services and focus on the human-machine interface for the most natural communication possible. This naturally generates a large amount of data – both core application data and meta/accompanying data. These data volumes need to be shared with clients as well as with various project partners for further processing. Data privacy imposes particularly high demands on secure and verifiable data transfer. We opted for the forward-looking step of using a data exchange platform with authenticated users because we wanted to take proactive measures in light of the Data Act and the Data Governance Act.

What type of data do you exchange via the nexyo DataHub, and with which partners?

We exchange data with many partners who use our GenAI services – both from the tourism sector as well as with our corporate and governmental clients. Currently, we are working on a use case designed to generate “Data Services on Demand,” a service for data refinement specifically for authenticated members of the data ecosystem. This enhances the utility, quality, and target audience orientation of the data, enabling integrated services to be linked directly to the data, where previously a dedicated portal was required for exchange.

What is the purpose of the data exchange via the nexyo DataHub, and how frequently does it occur?

The exchange occurs either on an ad hoc basis or on a weekly/monthly schedule.

What challenges did you face in enabling data exchange, and how did you overcome them?

Initially, we focused on the straightforward aspects of user access, including authentication and integration with their own storage systems. Once a usable maturity level for users was achieved, it enabled an active exchange of both structured and unstructured data.

Were there any particular successes or “aha” moments that demonstrated the value the nexyo DataHub brings to you?

Once users understood the exchange process, they began exploring the provided interface. This exploration revealed a gap between the current system and their “ideal world,” making it possible to systematically incorporate features that real users desired. This “on-request” development, combined with the EU’s Data Act requirements, represents a promising evolution of usage possibilities, highlighting the democratization of data as a success compared to previous challenges. We are hopeful for many active participants in the context of Data Spaces as the functionality continues to expand!

What aspects of your collaboration with nexyo would you like to highlight or emphasize?

• Flexibility: nexyo responds to functional needs quickly and precisely.
• Service: nexyo consistently addresses issues in data exchange to avoid bottlenecks between data providers and consumers.
• Communication: Communication based on developer insights is vital for solution-oriented scenarios and is delivered accordingly.
• Innovation: We always require state-of-the-art technology for our GenAI services. nexyo is at the cutting edge of the (data) age, consistently delivering an adaptive timeline. This makes them the ideal partner for our journey into the world of GenAI!